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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1250822</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictive factors and the management of hyperglycemia in patients with acromegaly and Cushing&#x2019;s disease receiving pasireotide treatment: <italic>post hoc</italic> analyses from the SOM230B2219 study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Feldt-Rasmussen</surname>
<given-names>Ulla</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/281242"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bolanowski</surname>
<given-names>Marek</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/48844"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shao-Ling</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Yerong</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1612159"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Witek</surname>
<given-names>Przemys&#x142;aw</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/199079"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kalra</surname>
<given-names>Pramila</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2662780"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kietsiriroje</surname>
<given-names>Noppadol</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Piacentini</surname>
<given-names>Andrea</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pedroncelli</surname>
<given-names>Alberto M.</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Samson</surname>
<given-names>Susan L.</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1686025"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Endocrinology and Metabolism, Copenhagen University Hospital Rigshospitalet</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Endocrinology, Diabetes and Isotope Therapy, Wroclaw Medical University</institution>, <addr-line>Wroclaw</addr-line>, <country>Poland</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Endocrinology, MS Ramaiah Medical College and Hospitals</institution>, <addr-line>Bengaluru</addr-line>, <country>India</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Endocrinology and Metabolism Unit, Internal Medicine Department, Faculty of Medicine, Prince of Songkla University</institution>, <addr-line>Songkhla</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Recordati SpA</institution>, <addr-line>Milan</addr-line>, <country>Italy</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Recordati AG</institution>, <addr-line>Basel</addr-line>, <country>Switzerland</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Departments of Medicine and Neurologic Surgery, Mayo Clinic</institution>, <addr-line>Jacksonville, FL</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Chiara Simeoli, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sabrina Chiloiro, Agostino Gemelli University Polyclinic (IRCCS), Italy</p>
<p>Mihaela Vlad, Victor Babes University of Medicine and Pharmacy, Romania</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Susan L. Samson, <email xlink:href="mailto:Samson.Susan@mayo.edu">Samson.Susan@mayo.edu</email>
</p>
</fn>
<fn fn-type="present-address" id="fn003">
<p>&#x2020;Present address: Alberto M. Pedroncelli, Camurus AB, Lund, Sweden</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1250822</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>02</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Feldt-Rasmussen, Bolanowski, Zhang, Yu, Witek, Kalra, Kietsiriroje, Piacentini, Pedroncelli and Samson</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Feldt-Rasmussen, Bolanowski, Zhang, Yu, Witek, Kalra, Kietsiriroje, Piacentini, Pedroncelli and Samson</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Pasireotide, a somatostatin receptor ligand, is approved for treating acromegaly and Cushing&#x2019;s disease (CD). Hyperglycemia during treatment can occur because of the drug&#x2019;s mechanism of action, although treatment discontinuation is rarely required. The prospective, randomized, Phase IV SOM230B2219 (NCT02060383) trial was designed to assess optimal management of pasireotide-associated hyperglycemia. Here, we investigated predictive factors for requiring antihyperglycemic medication during pasireotide treatment.</p>
</sec>
<sec>
<title>Methods</title>
<p>Participants with acromegaly or CD initiated long-acting pasireotide 40 mg/28 days intramuscularly (acromegaly) or pasireotide 600 &#x3bc;g subcutaneously twice daily during pre-randomization (&#x2264;16 weeks). Those who did not need antihyperglycemic medication, were managed with metformin, or received insulin from baseline entered an observational arm ending at 16 weeks. Those who required additional/alternative antihyperglycemic medication to metformin were randomized to incretin-based therapy or insulin for an additional 16 weeks. Logistic-regression analyses evaluated quantitative and qualitative factors for requiring antihyperglycemic medication during pre-randomization.</p>
</sec>
<sec>
<title>Results</title>
<p>Of 190 participants with acromegaly and 59 with CD, 88 and 15, respectively, did not need antihyperglycemic medication; most were aged &lt;40 years (acromegaly 62.5%, CD 86.7%), with baseline glycated hemoglobin (HbA<sub>1c</sub>) &lt;6.5% (&lt;48 mmol/mol; acromegaly 98.9%, CD 100%) and fasting plasma glucose (FPG) &lt;100 mg/dL (&lt;5.6 mmol/L; acromegaly 76.1%, CD 100%). By logistic regression, increasing baseline HbA<sub>1c</sub> (odds ratio [OR] 3.6; <italic>P</italic>=0.0162) and FPG (OR 1.0; <italic>P</italic>=0.0472) and history of diabetes/pre-diabetes (OR 3.0; <italic>P</italic>=0.0221) predicted receipt of antihyperglycemic medication in acromegaly participants; increasing baseline HbA<sub>1c</sub> (OR 12.6; <italic>P</italic>=0.0276) was also predictive in CD participants. Investigator-reported hyperglycemia-related adverse events were recorded in 47.9% and 54.2% of acromegaly and CD participants, respectively, mainly those with diabetes/pre-diabetes.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Increasing age, HbA<sub>1c</sub>, and FPG and pre-diabetes/diabetes were associated with increased likelihood of requiring antihyperglycemic medication during pasireotide treatment. These risk factors may be used to identify those who need more vigilant monitoring to optimize outcomes during pasireotide treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hyperglycemia</kwd>
<kwd>glucose intolerance</kwd>
<kwd>diabetes mellitus</kwd>
<kwd>pasireotide</kwd>
<kwd>acromegaly</kwd>
<kwd>Cushing&#x2019;s disease</kwd>
<kwd>pituitary adenoma</kwd>
</kwd-group>
<contract-sponsor id="cn001">Novartis Pharma<named-content content-type="fundref-id">10.13039/100008792</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Recordati Rare Diseases<named-content content-type="fundref-id">10.13039/100017559</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="12"/>
<word-count count="4779"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Pituitary Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Acromegaly and Cushing&#x2019;s disease are rare, often debilitating endocrine conditions that, if left untreated, are associated with considerable comorbidities and increased mortality (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Both conditions are most commonly caused by a benign pituitary adenoma that secretes growth hormone (GH) in cases of acromegaly and adrenocorticotropic hormone (ACTH) in cases of Cushing&#x2019;s disease (<xref ref-type="bibr" rid="B3">3</xref>). Increased GH (and, consequently, insulin-like growth factor 1 [IGF-1]) or increased ACTH (leading to elevated cortisol) are associated with multiple underlying conditions, including impaired glucose tolerance and diabetes (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Pasireotide, a second-generation somatostatin receptor ligand, is an effective long-term, pituitary-targeted medical treatment approved for patients with acromegaly (for whom surgery is not an option or has not been curative and who are inadequately controlled on treatment with another somatostatin analogue) (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>) or Cushing&#x2019;s disease (for whom pituitary surgery is not an option or has failed) (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Pasireotide works by targeting four of the five somatostatin receptor (SSTR) subtypes, predominantly SSTR5 and SSTR2, all of which can be expressed by pituitary tumors (<xref ref-type="bibr" rid="B13">13</xref>). However, SSTR5 and SSTR2 also play important roles in blood glucose regulation; pancreatic beta cells, which secrete insulin, predominantly express SSTR5, and pancreatic alpha cells, which secrete glucagon, predominantly express SSTR2 (<xref ref-type="bibr" rid="B14">14</xref>). As shown in healthy volunteers, as well as in those with active acromegaly, pasireotide suppresses insulin secretion, with smaller reductions in glucagon secretion, resulting in elevated blood glucose; this is, at least in part, mediated by dampening of the incretin response (glucagon-like peptide 1 [GLP-1] and gastric inhibitory polypeptide [GIP]) (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Development or worsening of existing hyperglycemia is therefore an expected side effect of treatment with pasireotide, although it is not experienced by all patients (<xref ref-type="bibr" rid="B17">17</xref>). Addition of metformin, alone or in combination with other oral antihyperglycemic medications, was shown to control glucose elevations in most patients with acromegaly (<xref ref-type="bibr" rid="B17">17</xref>). Incretin-based therapies (eg dipeptidyl peptidase 4 [DPP-4] inhibitors [eg vildagliptin] and GLP-1 receptor agonists [eg liraglutide]) have also been shown to be an effective treatment option in managing pasireotide-associated hyperglycemia (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). As such, with appropriate management, treatment-emergent hyperglycemic events rarely lead to treatment discontinuation (<xref ref-type="bibr" rid="B19">19</xref>), allowing the clinical benefit of pasireotide treatment to be achieved (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>) and sustained for many years (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>The Phase IV B2219 trial was the first prospective study specifically designed to assess the efficacy of incretin-based therapy versus insulin in the management of pasireotide-associated hyperglycemia that is not fully controlled despite treatment with metformin or other non-incretin-based oral antidiabetic drugs (OADs) in participants with acromegaly or Cushing&#x2019;s disease (<xref ref-type="bibr" rid="B21">21</xref>). A large proportion (41%) of participants in the B2219 study did not require any antihyperglycemic medication during treatment with pasireotide (<xref ref-type="bibr" rid="B21">21</xref>). An additional 18% were managed solely with metformin/other oral non-incretin-based medications, and 8% received insulin from baseline (with or without additional metformin during the study). Overall, 33% received antihyperglycemic medication in addition to metformin to manage hyperglycemia (<xref ref-type="bibr" rid="B21">21</xref>). This <italic>post hoc</italic> analysis examines patient characteristics that might predict those more or less likely to require initiation of or additional antihyperglycemic medications during pasireotide treatment. Furthermore, we also sought to investigate how insulin requirements may change throughout treatment with pasireotide. Together, we hope that these analyses will advance our knowledge of the proactive management of pasireotide-associated hyperglycemia.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Participants</title>
<p>Outcomes from the B2219 trial (ClinicalTrials.gov: NCT02060383) have been published previously (<xref ref-type="bibr" rid="B21">21</xref>). Briefly, the trial enrolled adult participants with confirmed acromegaly or Cushing&#x2019;s disease compliant with the country label to receive pasireotide. If participants were receiving pasireotide at screening, they had to be experiencing signs/symptoms of hyperglycemia to be enrolled. The study was conducted in accordance with the Declaration of Helsinki, with an independent ethics committee/institutional review board at each site approving the study protocol. All participants provided written informed consent before participation.</p>
</sec>
<sec id="s2_2">
<title>Study design</title>
<p>The B2219 trial design has been previously described in detail (<xref ref-type="bibr" rid="B21">21</xref>); the four study phases are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Briefly, this was a multicenter, randomized, open-label, Phase IV study conducted at 43 sites comprising a core phase (&#x2264;16-week pre-randomization period followed by 16-week randomized treatment period) and an optional extension phase. Upon entering the pre-randomization period, all patients initiated intramuscular long-acting pasireotide 40 mg once/28 days (acromegaly) or subcutaneous pasireotide 600 &#x3bc;g twice daily (bid; Cushing&#x2019;s disease). Titration of pasireotide dose was determined by the site investigator based on the biochemical response using local laboratory monitoring of IGF-1 or urinary free cortisol. Medication for hyperglycemia was initiated if self-monitored blood glucose (SMBG) levels were &#x2265;126 mg/dL on three consecutive days. Participants who did not require antihyperglycemic medication, who were successfully managed with metformin alone, or who were receiving insulin from study baseline entered a non-randomized observational arm. Participants who developed hyperglycemia not manageable with metformin (SMBG &#x2265;126 mg/dL on three consecutive days) were randomized to incretin-based therapy or insulin, administered in accordance with local prescribing information.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of the B2219 study design.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Period</th>
<th valign="top" align="left">Overview</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.&#x2003;Screening</td>
<td valign="top" align="left">&#x2022;&#x2003;Washout period for participants receiving pasireotide at screening (or other medications, including antihyperglycemic medications)</td>
</tr>
<tr>
<td valign="top" align="left">2.&#x2003;Core pre-&#x2003;<break/>randomization &#x2003;<break/>(&#x2264;16 weeks)</td>
<td valign="top" align="left">&#x2022;&#x2003;All participants initiated long-acting release &#x2003;<break/>pasireotide 40 mg intramuscularly once every 28 days (acromegaly) or pasireotide 600 &#x3bc;g &#x2003;<break/>subcutaneously twice daily (Cushing&#x2019;s disease)&#x2003;<break/>&#x2022;&#x2003;Pasireotide dose was adjusted based on &#x2003;<break/>biochemical response and tolerability&#x2003;<break/>&#x2022;&#x2003;Metformin treatment could be initiated in &#x2003;<break/>participants with increased SMBG (&#x2265;126 mg/dL [&#x2265;7.0 mmol/L] on three consecutive days)</td>
</tr>
<tr>
<td valign="top" align="left">3.&#x2003;Core &#x2003;<break/>randomized &#x2003;<break/>treatment &#x2003;<break/>(~16 weeks)</td>
<td valign="top" align="left">&#x2022;&#x2003;Participants with SMBG &#x2265;126 mg/dL (&#x2265;7.0 mmol/L) on three consecutive days despite optimized &#x2003;<break/>treatment with metformin or other permitted OAD (or a contraindication to metformin) were &#x2003;<break/>randomized 1:1 to incretin-based therapy (sitagliptin [DPP-&#xad;4 inhibitor] followed by liraglutide [GLP-1 receptor agonist] and insulin rescue therapy, if needed) or insulin</td>
</tr>
<tr>
<td valign="top" align="left">4.&#x2003;Optional &#x2003;<break/>extension</td>
<td valign="top" align="left">&#x2022;&#x2003;Non-randomized participants could continue &#x2003;<break/>receiving pasireotide and antihyperglycemic therapy at the investigator&#x2019;s discretion</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Assessments and statistical analyses</title>
<p>Glycated hemoglobin (HbA<sub>1c</sub>) and fasting plasma glucose (FPG) were measured at a central laboratory. HbA<sub>1c</sub> was recorded at screening, at baseline, once a month throughout the core study (including before starting rescue therapy), and every 8 weeks during the extension. FPG was monitored every 2 weeks during the core study. During the core phase, participants also self-monitored plasma glucose daily with a glucometer, reviewed by the investigator at each visit. During the extension, FPG was monitored every 4 weeks. All data analyses were performed separately for participants with acromegaly and those with Cushing&#x2019;s disease. Participants were evaluated according to whether they received therapy for hyperglycemia during pasireotide treatment in the core pre-randomization period (mostly metformin, alone or in addition to insulin received from baseline). A logistic-regression analysis of predictive factors was conducted. A backward method for selecting the predictors was applied, with a threshold of <italic>P &#x2264;</italic> 0.2 for remaining in the reduced (final) model. The criterion of &#x2013;2 log likelihood was also applied to identify the reduced model that best fits the data. In the full model, age, body mass index (BMI), baseline HbA<sub>1c</sub>, baseline FPG, years with disease, baseline GH, and baseline IGF-1 (x upper limit of normal) were assessed as quantitative independent variables (evaluated by the model in terms of per unit increase). History of diabetes (pre-diabetes and diabetes vs normal glucose tolerance) and previous treatments received for acromegaly/Cushing&#x2019;s disease (yes vs no) were assessed as qualitative independent variables. <italic>P</italic> values were derived from the type III analysis of effects and are shown for the overall effect of each predictor.</p>
<p>Hyperglycemia was defined as SMBG &#x2265;126 mg/dL (&#x2265;7.0 mmol/L) on three consecutive days. All blood samples for assessment of FPG and HbA<sub>1c</sub> at each visit were taken after an overnight fast and before administration of pasireotide. Diabetes was defined as participants taking antidiabetic medication, prior history of diabetes, or HbA<sub>1c</sub> &#x2265;6.5% (&#x2265;48 mmol/mol) and/or FPG &#x2265;126 mg/dL (&#x2265;7.0 mmol/L) at two separate visits. Pre-diabetes was defined as participants with FPG &#x2265;100 mg/dL (&#x2265;5.6 mmol/L) and/or HbA<sub>1c</sub> 5.7&#x2013;&lt;6.5% (39&#x2013;&lt;48 mmol/mol). Normal glucose tolerance was defined as participants not qualifying as having diabetes or pre-diabetes, with FPG &lt;100 mg/dL (&lt;5.6 mmol/L) and HbA<sub>1c</sub> &lt;5.7% (&lt;39 mmol/mol).</p>
<p>Hyperglycemia-related adverse events (AEs) were continually assessed and defined using Medical Dictionary for Regulatory Activities v21.0 and graded according to Common Terminology Criteria for Adverse Events (CTCAE) v4.03; relationship to study drug was assessed by the investigator.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Participant demographics and disease history</title>
<p>In total, 190 participants were enrolled with acromegaly and 59 were enrolled with Cushing&#x2019;s disease; 102/190 (53.7%) and 44/59 (74.6%) received antihyperglycemic medication during the pre-randomization period, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Four participants with acromegaly received pasireotide prior to starting the study (for 2.4, 5.6, 10.2, and 70.8 months, respectively), as well as one participant with Cushing&#x2019;s disease (for 24.2 months); all underwent the prerequisite washout of pasireotide prior to starting the pre-randomization period (&#x2265;3 months [long acting] or 1 week [twice-daily formulation]).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Participant disposition during the core phase of the study according to whether antihyperglycemic medication was received. *Includes unacceptable test procedure results, laboratory values, past medical history or concomitant medications.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1250822-g001.tif"/>
</fig>
<p>Participants (with acromegaly or Cushing&#x2019;s disease) who received antihyperglycemic medication were generally older (mean age &gt;40 years) and had higher baseline FPG and HbA<sub>1c</sub> levels, and the majority were diagnosed with diabetes or pre-diabetes prior to starting the study (<xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline demographics and characteristics in participants with acromegaly.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Received antihyperglycemic medication<break/>n=102*</th>
<th valign="top" align="center">No antihyperglycemic medication needed<break/>n=88*</th>
<th valign="top" align="center">All participants<break/>n=190*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Mean age, years (SD)</bold>
</td>
<td valign="top" align="center">46.1 (12.9)</td>
<td valign="top" align="center">38.5 (10.8)</td>
<td valign="top" align="center">42.5 (12.5)</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2212;max</td>
<td valign="top" align="center">21&#x2212;79</td>
<td valign="top" align="center">22&#x2212;66</td>
<td valign="top" align="center">21&#x2212;79</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Female:male, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">54:48 (52.9:47.1)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">35:53 (39.8:60.2)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">89:101 (46.8:53.2)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Race, n (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">50 (49.0)</td>
<td valign="top" align="center">45 (51.1)</td>
<td valign="top" align="center">95 (50.0)</td>
</tr>
<tr>
<td valign="top" align="left">Caucasian</td>
<td valign="top" align="center">44 (43.1)</td>
<td valign="top" align="center">31 (35.2)</td>
<td valign="top" align="center">75 (39.5)</td>
</tr>
<tr>
<td valign="top" align="left">Other (including black and native American)</td>
<td valign="top" align="center">8 (7.8)</td>
<td valign="top" align="center">12 (13.6)</td>
<td valign="top" align="center">20 (10.5)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean BMI, kg/m<sup>2</sup> (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">29.1 (5.1); n=101</td>
<td valign="top" align="center" style="background-color:#d9d9d9">28.3 (5.5); n=86</td>
<td valign="top" align="center" style="background-color:#d9d9d9">28.8 (5.3); n=187</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2212;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">19.8&#x2212;44.6</td>
<td valign="top" align="center" style="background-color:#d9d9d9">19.0&#x2212;47.2</td>
<td valign="top" align="center" style="background-color:#d9d9d9">19.0&#x2212;47.2</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mean time to first pasireotide dose in the study since diagnosis, months (SD)</bold>
</td>
<td valign="top" align="center">66.8 (71.5)</td>
<td valign="top" align="center">56.2 (58.1)</td>
<td valign="top" align="center">61.9 (65.7)</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2212;max</td>
<td valign="top" align="center">1.0&#x2212;387.0</td>
<td valign="top" align="center">0.0&#x2212;322.0</td>
<td valign="top" align="center">0.0&#x2212;387.0</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Previous treatment for acromegaly, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">97 (95.1)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">87 (98.8)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">184 (96.8)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous surgery, n (%)</bold>
</td>
<td valign="top" align="center">81 (79.4)</td>
<td valign="top" align="center">82 (93.2)</td>
<td valign="top" align="center">163 (85.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Previous medication, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">74 (72.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">69 (78.4)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">143 (75.3)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous pituitary irradiation, n (%)</bold>
</td>
<td valign="top" align="center">25 (24.5)</td>
<td valign="top" align="center">29 (33.0)</td>
<td valign="top" align="center">54 (28.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean time since last irradiation, months (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">57.4 (77.2)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">38.3 (47.7)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">47.2 (63.2)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2013;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">4.0&#x2212;352.0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">3.0&#x2212;248.0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">3.0&#x2212;352.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mean baseline HbA<sub>1c</sub>, % [mmol/mol] (SD)</bold>
</td>
<td valign="top" align="center">6.24 [45] (1.1);<break/>n=102</td>
<td valign="top" align="center">5.43 [36] (0.3);<break/>n=87</td>
<td valign="top" align="center">5.87 [41] (0.9);<break/>n=189</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2013;max</td>
<td valign="top" align="center">4.6&#x2212;10.6 [27&#x2013;92]</td>
<td valign="top" align="center">4.5&#x2212;6.0 [26&#x2013;42]</td>
<td valign="top" align="center">4.5&#x2212;10.6 [26&#x2013;92]</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Baseline HbA<sub>1c</sub> category, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">&lt;5.7% (&lt;39 mmol/mol)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">27 (26.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">63 (71.6)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">90 (47.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">5.7&#x2013;&lt;6.5% (39&#x2013;&lt;48 mmol/mol)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">49 (48.0)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">24 (27.3)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">73 (38.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">6.5&#x2013;&lt;8% (48&#x2013;&lt;64 mmol/mol)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">18 (17.6)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">18 (9.5)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">&#x2265;8% (&#x2265;64 mmol/mol)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">8 (7.8)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">8 (4.2)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mean baseline FPG, mg/dL [mmol/L] (SD)</bold>
</td>
<td valign="top" align="center">113.9 [6.3] (34.6);<break/>n=101</td>
<td valign="top" align="center">93.4 [5.2] (8.3);<break/>n=88</td>
<td valign="top" align="center">104.4 [5.8] (27.8);<break/>n=189</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2013;max</td>
<td valign="top" align="center">60.0&#x2212;295.4 [3.3&#x2013;16.4]</td>
<td valign="top" align="center">70.3&#x2212;120.7 [3.9&#x2013;6.7]</td>
<td valign="top" align="center">60.0&#x2212;295.4 [3.3&#x2013;16.4]</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Baseline FPG category, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
<td valign="top" align="center" style="background-color:#d9d9d9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">&lt;100 mg/dL (&lt;5.6 mmol/L)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">36 (35.3)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">67 (76.1)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">103 (54.2)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">100&#x2013;&lt;126 mg/dL (5.6&#x2013;&lt;7.0 mmol/L)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">43 (42.2)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">21 (23.9)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">64 (33.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">&#x2265;126 mg/dL (&#x2265;7.0 mmol/L)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">22 (21.6)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">22 (11.6)</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Baseline glycemic status, n (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">57 (55.9)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">57 (30.0)</td>
</tr>
<tr>
<td valign="top" align="left">Pre-diabetes</td>
<td valign="top" align="center">33 (32.4)</td>
<td valign="top" align="center">34 (38.6)</td>
<td valign="top" align="center">67 (35.3)</td>
</tr>
<tr>
<td valign="top" align="left">Normal glucose tolerance</td>
<td valign="top" align="center">12 (11.8)</td>
<td valign="top" align="center">54 (61.4)</td>
<td valign="top" align="center">66 (34.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Unless otherwise specified. SD, standard deviation.</p>
</fn>
<fn>
<p>The gray shading is to separate blocks of data so that it is easier to read. </p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Baseline demographics and characteristics in participants with Cushing&#x2019;s disease.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Received antihyperglycemic medication<break/>n=44*</th>
<th valign="top" align="center">No antihyperglycemic medication needed<break/>n=15*</th>
<th valign="top" align="center">All participants<break/>n=59*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Cushing&#x2019;s disease status, n (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>De novo</italic>
</td>
<td valign="top" align="center">5 (11.4)</td>
<td valign="top" align="center">4 (26.7)</td>
<td valign="top" align="center">9 (15.3)</td>
</tr>
<tr>
<td valign="top" align="left">Persistent/recurrent</td>
<td valign="top" align="center">39 (88.6)</td>
<td valign="top" align="center">11 (73.3)</td>
<td valign="top" align="center">50 (84.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean age, years (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">44.5 (14.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">33.9 (12.8)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">41.8 (14.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2212;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">18&#x2212;72</td>
<td valign="top" align="center" style="background-color:#d9d9d9">21&#x2212;70</td>
<td valign="top" align="center" style="background-color:#d9d9d9">18&#x2212;72</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Female:male, n (%)</bold>
</td>
<td valign="top" align="center">36:8 (81.8:18.2)</td>
<td valign="top" align="center">12:3 (80.0:20.0)</td>
<td valign="top" align="center">48:11 (81.4:18.6)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Race, n (%)</bold>
</td>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Asian</td>
<td valign="top" align="center" style="background-color:#d9d9d9">10 (22.7)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">4 (26.7)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">14 (23.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Caucasian</td>
<td valign="top" align="center" style="background-color:#d9d9d9">27 (61.4)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">9 (60.0)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">36 (61.0)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Other (including black and native American)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">7 (15.9)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">2 (13.3)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">9 (15.3)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mean BMI, kg/m<sup>2</sup> (SD)</bold>
</td>
<td valign="top" align="center">32.8 (8.9); n=43</td>
<td valign="top" align="center">32.0 (6.7); n=15</td>
<td valign="top" align="center">32.6 (8.3); n=58</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2212;max</td>
<td valign="top" align="center">19.6&#x2212;60.1</td>
<td valign="top" align="center">20.6&#x2212;42.2</td>
<td valign="top" align="center">19.6&#x2212;60.1</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean time to first pasireotide dose in the study since diagnosis, months (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">67.8 (70.4)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">36.2 (38.0)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">59.8 (64.9)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2212;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">1.0&#x2212;332.0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">1.0&#x2212;147.0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">1.0&#x2212;332.0</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous treatment for Cushing&#x2019;s disease, n (%)</bold>
</td>
<td valign="top" align="center">37 (84.1)</td>
<td valign="top" align="center">10 (66.7)</td>
<td valign="top" align="center">47 (79.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Previous surgery, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">40 (90.9)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">11 (73.3)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">51 (86.4)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous medication, n (%)</bold>
</td>
<td valign="top" align="center">28 (63.6)</td>
<td valign="top" align="center">10 (66.7)</td>
<td valign="top" align="center">38 (64.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Previous pituitary irradiation, n (%)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">13 (29.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">4 (26.7)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">17 (28.8)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mean time since last irradiation, months (SD)</bold>
</td>
<td valign="top" align="center">60.4 (50.6)</td>
<td valign="top" align="center">15.3 (11.4)</td>
<td valign="top" align="center">49.8 (48.3)</td>
</tr>
<tr>
<td valign="top" align="left">Min&#x2013;max</td>
<td valign="top" align="center">8.0&#x2212;161.0</td>
<td valign="top" align="center">4.0&#x2212;29.0</td>
<td valign="top" align="center">4.0&#x2212;161.0</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean baseline HbA<sub>1c</sub>, % [mmol/mol] (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">6.4 [46] (0.8);<break/>n=43</td>
<td valign="top" align="center" style="background-color:#d9d9d9">5.5 [37] (0.4);<break/>n=15</td>
<td valign="top" align="center" style="background-color:#d9d9d9">6.2 [44] (0.8);<break/>n=58</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2013;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">5.0&#x2212;8.2 [31&#x2013;66]</td>
<td valign="top" align="center" style="background-color:#d9d9d9">4.4&#x2212;6.0 [25&#x2013;42]</td>
<td valign="top" align="center" style="background-color:#d9d9d9">4.4&#x2212;8.2 [25&#x2013;66]</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Baseline HbA<sub>1c</sub> category, n (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;5.7% (&lt;39 mmol/mol)</td>
<td valign="top" align="center">8 (18.2)</td>
<td valign="top" align="center">10 (66.7)</td>
<td valign="top" align="center">18 (30.5)</td>
</tr>
<tr>
<td valign="top" align="left">5.7&#x2013;&lt;6.5% (39&#x2013;&lt;48 mmol/mol)</td>
<td valign="top" align="center">18 (40.9)</td>
<td valign="top" align="center">5 (33.3)</td>
<td valign="top" align="center">23 (39.0)</td>
</tr>
<tr>
<td valign="top" align="left">6.5&#x2013;&lt;8% (48&#x2013;&lt;64 mmol/mol)</td>
<td valign="top" align="center">16 (36.4)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">16 (27.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;8% (&#x2265;64 mmol/mol)</td>
<td valign="top" align="center">1 (2.3)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (1.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">
<bold>Mean baseline FPG, mg/dL [mmol/L] (SD)</bold>
</td>
<td valign="top" align="center" style="background-color:#d9d9d9">111.2 [6.2] (32.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">85.5 [4.7] (6.9)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">104.7 [5.8] (30.4)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Min&#x2013;max</td>
<td valign="top" align="center" style="background-color:#d9d9d9">79.3&#x2212;262.0 [4.4&#x2013;14.5]</td>
<td valign="top" align="center" style="background-color:#d9d9d9">70.3&#x2212;97.3 [3.9&#x2013;5.4]</td>
<td valign="top" align="center" style="background-color:#d9d9d9">70.3&#x2212;262.0 [3.9&#x2013;14.5]</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Baseline FPG category, n (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&lt;100 mg/dL (&lt;5.6 mmol/L)</td>
<td valign="top" align="center">21 (47.7)</td>
<td valign="top" align="center">15 (100.0)</td>
<td valign="top" align="center">36 (61.0)</td>
</tr>
<tr>
<td valign="top" align="left">100&#x2013;&lt;126 mg/dL (5.6&#x2013;&lt;7.0 mmol/L)</td>
<td valign="top" align="center">14 (31.8)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">14 (23.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;126 mg/dL (&#x2265;7.0 mmol/L)</td>
<td valign="top" align="center">9 (20.5)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9 (15.3)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9"><bold>Baseline glycemic status, n (%)</bold></td>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
<td valign="top" align="left" style="background-color:#d9d9d9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Diabetes</td>
<td valign="top" align="center" style="background-color:#d9d9d9">30 (68.2)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">0</td>
<td valign="top" align="center" style="background-color:#d9d9d9">30 (50.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Pre-diabetes</td>
<td valign="top" align="center" style="background-color:#d9d9d9">9 (20.5)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">5 (33.3)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">14 (23.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9">Normal glucose tolerance</td>
<td valign="top" align="center" style="background-color:#d9d9d9">5 (11.4)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">10 (66.7)</td>
<td valign="top" align="center" style="background-color:#d9d9d9">15 (25.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Unless otherwise specified.</p>
</fn>
<fn>
<p>The gray shading is to separate blocks of data so that it is easier to read. </p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Pasireotide dosing</title>
<p>Average median pasireotide dose (min&#x2013;max) during the pre-randomization period (up to week 16) was 40 mg/28 days (20&#x2013;60 mg/28 days) and 1200 &#xb5;g bid (600&#x2013;1200 &#xb5;g bid) in participants with acromegaly and Cushing&#x2019;s disease, respectively.</p>
<p>Median (min&#x2013;max) duration of exposure to long-acting pasireotide in participants with acromegaly was 3.7 (0.9&#x2013;8.0) months, and that to subcutaneous pasireotide was 3.7 (0.0&#x2013;6.8) months, in the core phase of the study (including the pre-randomization and randomized periods).</p>
</sec>
<sec id="s3_3">
<title>Predictive factors for requiring antihyperglycemic medication during initiation of pasireotide treatment</title>
<p>Predictive factors associated with the requirement for antihyperglycemic medication after initiation of pasireotide during the pre-randomization period of the study (&#x2264;16 weeks) were identified using logistic regression. In participants with acromegaly, increasing baseline HbA<sub>1c</sub> and FPG, as well as history of diabetes/pre-diabetes, were identified as predictive factors (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In participants with Cushing&#x2019;s disease, increasing baseline HbA<sub>1c</sub> was also identified as a predictive factor, alongside receipt of previous treatment for Cushing&#x2019;s disease (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plots summarizing predictive factors for the requirement of antihyperglycemic medication after initiation of pasireotide treatment in participants with <bold>(A)</bold> acromegaly and <bold>(B)</bold> Cushing&#x2019;s disease. A backward method for selecting the predictors was applied, with a threshold of <italic>P &#x2264;</italic> 0.2 for remaining in the reduced (final) model. The criterion of &#x2013;2 log likelihood was also applied to identify the reduced model that best fits the data.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1250822-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Changes in glycemic variables by baseline diabetes status</title>
<p>During the pre-randomization period (&#x2264;16 weeks), mean HbA<sub>1c</sub> and FPG levels increased after initiation of pasireotide in participants who received antihyperglycemic medication in both participants with acromegaly (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) and participants with Cushing&#x2019;s disease (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The trend for increasing HbA<sub>1c</sub> and FPG levels was more notable in participants with diabetes or pre-diabetes at baseline than in those with normal glucose tolerance.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Mean HbA<sub>1c</sub> and FPG levels over the first 16 weeks (pre-randomization period) in participants with <bold>(A)</bold> acromegaly and <bold>(B)</bold> Cushing&#x2019;s disease. Numbers below the horizontal axes refer to numbers of participants with diabetes/pre-diabetes/NGT. Dashed lines are at 6.5% (48 mmol/mol) for HbA<sub>1c</sub> and 126 mg/dL (7.0 mmol/L) for FPG. NGT, normal glucose tolerance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1250822-g003.tif"/>
</fig>
<p>During the &#x2264;16-week pre-randomization period, participants who did not receive antihyperglycemic medication largely remained with low/normal HbA<sub>1c</sub> and FPG levels in both those with acromegaly (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>) and those with Cushing&#x2019;s disease (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Of participants who received antihyperglycemic medication, a larger proportion had higher HbA<sub>1c</sub> and FPG levels at baseline than those who did not require antihyperglycemic medication (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). There was also evidence for a larger proportion of participants experiencing worsening HbA<sub>1c</sub> and FPG (ie moved from a lower to a higher category during the &#x2264;16-week pre-randomization period).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Shift from baseline to last post-baseline HbA<sub>1c</sub> and FPG during the 16&#xad;week pre-randomization period in participants with <bold>(A)</bold> acromegaly and <bold>(B)</bold> Cushing&#x2019;s disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1250822-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Insulin use over time</title>
<p>In the participants randomized to receive insulin (n=43), mean (min&#x2013;max) insulin dose increased from 9.0 (2.0&#x2013;20.0) IU/day at randomization to 18.7 (4.0&#x2013;50.0) IU/day at the end of the study; mean change from baseline was +9.7 (&#x2013;4.0 to 38.0) IU/day. In participants with acromegaly (n=30), mean (min&#x2013;max) insulin dose increased from 8.3 (2.0&#x2013;20.0) to 16.7 (4.0&#x2013;50.0) IU/day; mean change from baseline was +8.4 (&#x2013;4.0 to 38.0) IU/day. In participants with Cushing&#x2019;s disease (n=13), mean (min&#x2013;max) insulin dose increased from 10.8 (8.0&#x2013;15.0) to 23.4 (10.0&#x2013;48.0) IU/day; mean change from baseline was +12.6 (0&#x2013;38.0) IU/day. Median (min&#x2013;max) duration of exposure to insulin in all participants randomized to insulin was 3.7 (1.4&#x2013;4.3) months (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s3_6">
<title>Safety profile</title>
<p>During the pre-randomization period, grade 3/4 hyperglycemia-related AEs (including preferred terms: hyperglycemia, diabetes mellitus, impaired fasting glucose, increased blood glucose, increased HbA<sub>1c</sub>, type 2 diabetes mellitus, inadequate control of diabetes mellitus, and glycosuria) were infrequent and mostly occurred in participants with diabetes at baseline (<xref ref-type="table" rid="T4">
<bold>Tables&#xa0;4</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>5</bold>
</xref>). In general, hyperglycemia AEs judged by the investigator to be related to treatment were reported irrespective of diabetes status at baseline.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Incidence and severity of hyperglycemia-related AEs in participants with acromegaly receiving pasireotide, according to diabetes status.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Diabetes<break/>(n=57)</th>
<th valign="top" align="center">Pre-diabetes<break/>(n=67)</th>
<th valign="top" align="center">Normal glucose tolerance (n=66)</th>
<th valign="top" align="center">All acromegaly participants (n=190)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>At least one hyperglycemia-related AE, n (%)</bold>
</td>
<td valign="top" align="center">22 (38.6)</td>
<td valign="top" align="center">37 (55.2)</td>
<td valign="top" align="center">32 (48.5)</td>
<td valign="top" align="center">91 (47.9)</td>
</tr>
<tr>
<td valign="top" align="left">Grade 3&#x2013;4, n (%)</td>
<td valign="top" align="center">12 (21.1)</td>
<td valign="top" align="center">1 (1.5)</td>
<td valign="top" align="center">1 (1.5)</td>
<td valign="top" align="center">14 (7.4)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Treatment-related hyperglycemia-related AE, n (%)</bold>
</td>
<td valign="top" align="center">19 (33.3)</td>
<td valign="top" align="center">33 (49.3)</td>
<td valign="top" align="center">32 (48.5)</td>
<td valign="top" align="center">84 (44.2)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Incidence and severity of hyperglycemia-related AEs in participants with Cushing&#x2019;s disease receiving pasireotide, according to diabetes status.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Diabetes<break/>(n=30)</th>
<th valign="top" align="center">Pre-diabetes<break/>(n=14)</th>
<th valign="top" align="center">Normal glucose tolerance (n=15)</th>
<th valign="top" align="center">All Cushing&#x2019;s disease participants (n=59)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>At least one hyperglycemia-related AE, n (%)</bold>
</td>
<td valign="top" align="center">15 (50.0)</td>
<td valign="top" align="center">11 (78.6)</td>
<td valign="top" align="center">6 (40.0)</td>
<td valign="top" align="center">32 (54.2)</td>
</tr>
<tr>
<td valign="top" align="left">Grade 3&#x2013;4, n (%)</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7 (11.9)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Treatment-related hyperglycemia AE, n (%)</bold>
</td>
<td valign="top" align="center">9 (30.0)</td>
<td valign="top" align="center">10 (71.4)</td>
<td valign="top" align="center">6 (40.0)</td>
<td valign="top" align="center">25 (42.4)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>During the first 16 weeks of the study (pre-randomization period), few participants required pasireotide dose reductions or interruptions because of hyperglycemia-related AEs: seven (3.7%) with acromegaly and six (10.2%) with Cushing&#x2019;s disease. Of these 13 participants, 12 had diabetes or pre-diabetes at baseline. Two participants permanently discontinued because of hyperglycemia-related AEs (one documented as hyperglycemia and one as increased HbA<sub>1c</sub>), both with acromegaly and both with diabetes at baseline. Concomitant antihyperglycemic medication was required in 50 (26.3%) participants with acromegaly and 18 (30.5%) with Cushing&#x2019;s disease; of these 68 participants, 52 had diabetes or pre-diabetes at baseline.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>B2219 was the first trial to evaluate prospectively the management of pasireotide-associated hyperglycemia in a large number of patients with acromegaly or Cushing&#x2019;s disease (<xref ref-type="bibr" rid="B21">21</xref>). Glucose metabolism disorders are common in patients with these endocrine disorders, with a high prevalence of complications such as impaired glucose tolerance and diabetes (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). As shown in other pivotal Phase III studies of pasireotide in patients with acromegaly or Cushing&#x2019;s disease (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>), the majority of patients entering the B2219 study had diabetes or pre-diabetes (65.3% with acromegaly and 74.6% with Cushing&#x2019;s disease). As hyperglycemia is a known side effect of treatment with pasireotide, patients can be appropriately monitored and managed (<xref ref-type="bibr" rid="B10">10</xref>). Previous data also highlight that if hyperglycemia does occur, it is most likely during the first 3 months of treatment with pasireotide (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B22">22</xref>) and is reversible upon pasireotide discontinuation (<xref ref-type="bibr" rid="B17">17</xref>). However, it remains that some patients are more or less likely to require antihyperglycemic medications; therefore, understanding predictive patient characteristics is of interest.</p>
<p>In the present study, not all participants required antihyperglycemic medication. In total, 53.7% of participants with acromegaly and 74.6% of participants with Cushing&#x2019;s disease received antihyperglycemic medication during the pre-randomization phase, mostly metformin, either alone or in addition to insulin received from baseline. Of these participants, approximately half (if eligible) were then randomized to receive additional/alternative antihyperglycemic medication in the form of incretin-based therapy or insulin. The participants who received antihyperglycemic medication in the 16 weeks following initiation of pasireotide were generally older (mean age &gt;40 years), had higher baseline HbA<sub>1c</sub> (&gt;6.5% [&gt;48 mmol/mol]) and FPG levels (&gt;100 mg/dL [&gt;5.6 mmol/L]), and were diagnosed with diabetes or pre-diabetes. The logistic-regression analysis also identified increasing baseline HbA<sub>1c</sub> and FPG, as well as a history of diabetes/pre-diabetes, as risk factors for requiring antihyperglycemic medication in participants with acromegaly; notably, elevated baseline HbA<sub>1c</sub> and a history of diabetes/pre-diabetes were associated with a threefold increase in risk. In participants with Cushing&#x2019;s disease, increasing HbA<sub>1c</sub> was also identified as a risk factor along with receipt of previous treatment, although the majority of participants with Cushing&#x2019;s disease had received prior treatments (80%). Both mean HbA<sub>1c</sub> and FPG levels increased steadily during the first 8&#x2013;12 weeks of the study in participants who received antihyperglycemic medication, notably those with diabetes/pre-diabetes. <italic>Post hoc</italic> and exploratory analyses from other clinical trials of pasireotide in patients with acromegaly (C2305 and C2402 [PAOLA]) have also suggested that hyperglycemia during pasireotide treatment was less frequent in patients with lower age (&lt;40 years, C2402; &lt;30 years, C2305) and normal glucose tolerance (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B23">23</xref>). As such, pre-treatment glucose status may be a particularly useful predictor of the development of pasireotide-associated hyperglycemia. History of hypertension or dyslipidemia at baseline has also been identified as a predictive factor (<xref ref-type="bibr" rid="B17">17</xref>); however, data were not available in the present study.</p>
<p>Interestingly, in the participants randomized to receive insulin in addition to or instead of metformin in the present study, dose requirements increased considerably in a relatively short period of time.</p>
<p>Hyperglycemia-related AEs were more frequently reported in participants with diabetes or pre-diabetes at baseline, and serious AEs related to hyperglycemia were infrequent. Our results highlight and support previous findings that hyperglycemia-related AEs rarely require treatment interruption or discontinuation (<xref ref-type="bibr" rid="B19">19</xref>), emphasizing that when hyperglycemia does occur, it is manageable. Several treatment guidelines and expert recommendations also exist on the management of hyperglycemia, which, although focused on patients with Cushing&#x2019;s disease, can be extrapolated to those with acromegaly (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Together with the findings from the B2219 study and the results presented herein, patients can be appropriately managed on an individual basis to ensure continued treatment with pasireotide, which can provide prolonged maintenance of biochemical control and improve clinical symptoms (<xref ref-type="bibr" rid="B20">20</xref>). For most patients who develop hyperglycemia, initiation of medical therapy with metformin alone is sufficient, followed by staged treatment with incretin-based therapies and insulin, as required, to achieve and maintain glycemic control (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Furthermore, hyperglycemia may also be managed with dietary modification, exercise and education (<xref ref-type="bibr" rid="B24">24</xref>). As clinical experience with pasireotide is increasing, including long-term follow-up studies and real-world experience (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), management of hyperglycemia is also improving.</p>
<p>There is increasing evidence that a personalized medical treatment approach based on patient-specific clinical and tumor characteristics can improve outcomes in patients with acromegaly (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). As well as identifying which patients are more likely to respond to different medical therapies, our findings contribute to optimizing patient management during medical treatment, which will be useful in clinical practice to tailor therapeutic approaches.</p>
<p>We acknowledge the limitations of these <italic>post hoc</italic> analyses as they are descriptive in nature. Findings in participants with Cushing&#x2019;s disease may be limited by the relatively small number of participants in this group compared with those with acromegaly. Levels of GH/IGF-1 and urinary free cortisol were measured but were used only to guide therapeutic decisions locally; they were not recorded as part of the study design, so no comment can be made on the impact of disease control on the need for antihyperglycemic medication. Furthermore, these analyses did not consider the occurrence/recurrence of hyperglycemia that may arise with long-term pasireotide treatment; to this end, further investigation is still warranted.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Individual patient characteristics are useful indicators of whether patients are more or less likely to develop hyperglycemia during treatment with pasireotide. Notably, increased age, HbA<sub>1c</sub> and FPG levels, as well as a previous diagnosis of diabetes or pre-diabetes, should be considered as potential predictive factors. These factors may be used to identify patients who require more vigilant, proactive monitoring and early intervention to ensure continued treatment with pasireotide and optimal outcomes.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by an independent ethics committee/institutional review board at each site. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>All academic investigators enrolled patients in the study. Data were collected by investigators using the funder&#x2019;s data management systems and analyzed by the funder&#x2019;s statistical team. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors declare that this study received funding from Novartis Pharma AG. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication. As of July 12, 2019, pasireotide is an asset of Recordati. Financial support for medical editorial assistance was provided by Recordati.
</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all investigators, nurses, study coordinators and patients who participated in the trial. We also thank Rebecca Helson, PhD, of Mudskipper Business Ltd, for medical editorial assistance with this manuscript.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>UF-R reports travel grants and speaker honoraria from Ipsen, Recordati, and Novo Nordisk and advisory board fees from Novartis, Recordati, Novo Nordisk, and Xeris Pharmaceuticals Strongbridge. UF-R&#x2019;s research salary was sponsored by a grant from Kirsten and Freddy Johansen&#x2019;s Fund. MB reports receiving travel grants and speaker fees from Amryt, Recordati, Pfizer, Novartis, Ipsen, IBSA, Teva, and Berlin Chemie. PW reports receiving travel grants and speaker fees from Novartis, Ipsen, Recordati, Novo Nordisk, Xeris Pharmaceuticals (Strongbridge), and Lilly. PK reports participation in advisory board meetings by Novo Nordisk, Novartis, and Eli Lilly. AP is an employee of Recordati. AMP was an employee of Recordati when the analyses were conducted. SS has provided consultancy for Novartis and Chiasma.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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