Assessing the risk of ketoacidosis due to sodium-glucose cotransporter (SGLT)-2 inhibitors in patients with type 1 diabetes: A meta-analysis and meta-regression

Sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) showed benefits in type 1 diabetes mellitus (T1DM), but the risk of diabetic ketoacidosis (DKA) limits their use. Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a met...

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Veröffentlicht in:PLoS medicine 2020-12, Vol.17 (12), p.e1003461
Hauptverfasser: Musso, Giovanni, Sircana, Antonio, Saba, Francesca, Cassader, Maurizio, Gambino, Roberto
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Saba, Francesca
Cassader, Maurizio
Gambino, Roberto
description Sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) showed benefits in type 1 diabetes mellitus (T1DM), but the risk of diabetic ketoacidosis (DKA) limits their use. Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a meta-analysis and meta-regression of randomized controlled trials (RCTs) evaluating SGLT2i in T1DM to assess moderators of the relative risk (RR) of DKA, of glycemic (HbA1c, fasting plasma glucose, continuous glucose monitoring parameters, insulin dose, and insulin sensitivity indices) and non-glycemic (body mass index (BMI), systolic BP, renal function, albuminuria, and diabetic eye disorders) efficacy, and of other safety outcomes (including hypoglycemia, infections, major adverse cardiovascular events, and death). We searched MEDLINE, Cochrane Library, EMBASE, ClinicalTrials.gov, Cochrane CENTRAL Register of Controlled Trials, and other electronic sources through August 30, 2020, for RCTs comparing SGLT2i with active comparators or placebo in adult patients with T1DM. Reviewers extracted data for relevant outcomes, performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. The strength of evidence was summarized with the GRADE approach. Among 9,914 records identified, 18 placebo-controlled RCTs (7,396 participants, 50% males, mean age 42 y (range 23 to 55 y), 5 different SGLT2i evaluated), were included. Main outcome measures were effect sizes and moderators of glycemic and non-glycemic efficacy and of safety outcomes. In a multivariable meta-regression model, baseline BMI (β = 0.439 [95% CI: 0.211, 0.666], p < 0.001) and estimated glucose disposal rate (eGDR) (β = -0.766 [-1.276, -0.256], p = 0.001) were associated with the RR of DKA (RR: 2.81; 95% CI:1.97, 4.01; p < 0.001, R2 = 61%). A model including also treatment-related parameters (insulin dose change-to-baseline insulin sensitivity ratio and volume depletion) explained 86% of variance across studies in the risk of DKA (R2 = 86%). The association of DKA with a BMI >27 kg/m2 and with an eGDR
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Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a meta-analysis and meta-regression of randomized controlled trials (RCTs) evaluating SGLT2i in T1DM to assess moderators of the relative risk (RR) of DKA, of glycemic (HbA1c, fasting plasma glucose, continuous glucose monitoring parameters, insulin dose, and insulin sensitivity indices) and non-glycemic (body mass index (BMI), systolic BP, renal function, albuminuria, and diabetic eye disorders) efficacy, and of other safety outcomes (including hypoglycemia, infections, major adverse cardiovascular events, and death). We searched MEDLINE, Cochrane Library, EMBASE, ClinicalTrials.gov, Cochrane CENTRAL Register of Controlled Trials, and other electronic sources through August 30, 2020, for RCTs comparing SGLT2i with active comparators or placebo in adult patients with T1DM. Reviewers extracted data for relevant outcomes, performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. The strength of evidence was summarized with the GRADE approach. Among 9,914 records identified, 18 placebo-controlled RCTs (7,396 participants, 50% males, mean age 42 y (range 23 to 55 y), 5 different SGLT2i evaluated), were included. Main outcome measures were effect sizes and moderators of glycemic and non-glycemic efficacy and of safety outcomes. In a multivariable meta-regression model, baseline BMI (β = 0.439 [95% CI: 0.211, 0.666], p &lt; 0.001) and estimated glucose disposal rate (eGDR) (β = -0.766 [-1.276, -0.256], p = 0.001) were associated with the RR of DKA (RR: 2.81; 95% CI:1.97, 4.01; p &lt; 0.001, R2 = 61%). A model including also treatment-related parameters (insulin dose change-to-baseline insulin sensitivity ratio and volume depletion) explained 86% of variance across studies in the risk of DKA (R2 = 86%). The association of DKA with a BMI &gt;27 kg/m2 and with an eGDR &lt;8.3 mg/kg/min was confirmed also in subgroup analyses. Among efficacy outcomes, the novel findings were a reduction in albuminuria (WMD: -9.91, 95% CI: -16.26, -3.55 mg/g, p = 0.002), and in RR of diabetic eye disorders (RR: 0.27[0.11, 0.67], p = 0.005) associated with SGLT2i. A SGLT2i dose-response gradient was consistently observed for main efficacy outcomes, but not for adverse events (AEs). Overall, predictors of DKA and of other AEs differed substantially from those of glycemic and non-glycemic efficacy. A limitation of our analysis was the relatively short (≤52 weeks) duration of included RCTs. The potential relevance for clinical practice needs also to be confirmed by real-world prospective studies. In T1DM, the risk of DKA and main therapeutic responses to SGLT2i are modified by baseline BMI and insulin resistance, by total insulin dose reduction-to-baseline insulin sensitivity ratio, and by volume depletion, which may enable the targeted use of these drugs in patients with the greatest benefit and the lowest risk of DKA.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1003461</identifier><identifier>PMID: 33373368</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Bias ; Biology and Life Sciences ; Body mass index ; Care and treatment ; Comparative analysis ; Complications and side effects ; Diabetes ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 - complications ; Diabetes Mellitus, Type 1 - diagnosis ; Diabetes Mellitus, Type 1 - drug therapy ; Diabetic acidosis ; Diabetic Ketoacidosis - chemically induced ; Diabetic Ketoacidosis - diagnosis ; Diabetics ; Diagnosis ; Distribution ; Dosage and administration ; Drug development ; Drug dosages ; Epidermal growth factor receptors ; Eye disorders ; Fasting ; Female ; Genital tract ; Glucose ; Handbooks ; Hemoglobin ; Humans ; Hypoglycemia ; Hypoglycemic agents ; Insulin ; Insulin resistance ; Intervention ; Ketoacidosis ; Laboratory testing ; Male ; Medicine and Health Sciences ; Meta-analysis ; Middle Aged ; Na+/glucose cotransporter ; Optimization ; Patients ; Physical Sciences ; Randomized Controlled Trials as Topic ; Regulatory agencies ; Renal function ; Research and Analysis Methods ; Risk Assessment ; Risk Factors ; Sodium-Glucose Transporter 2 Inhibitors - adverse effects ; Treatment Outcome ; Type 1 diabetes ; Urinary tract ; Young Adult</subject><ispartof>PLoS medicine, 2020-12, Vol.17 (12), p.e1003461</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Musso et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a meta-analysis and meta-regression of randomized controlled trials (RCTs) evaluating SGLT2i in T1DM to assess moderators of the relative risk (RR) of DKA, of glycemic (HbA1c, fasting plasma glucose, continuous glucose monitoring parameters, insulin dose, and insulin sensitivity indices) and non-glycemic (body mass index (BMI), systolic BP, renal function, albuminuria, and diabetic eye disorders) efficacy, and of other safety outcomes (including hypoglycemia, infections, major adverse cardiovascular events, and death). We searched MEDLINE, Cochrane Library, EMBASE, ClinicalTrials.gov, Cochrane CENTRAL Register of Controlled Trials, and other electronic sources through August 30, 2020, for RCTs comparing SGLT2i with active comparators or placebo in adult patients with T1DM. Reviewers extracted data for relevant outcomes, performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. The strength of evidence was summarized with the GRADE approach. Among 9,914 records identified, 18 placebo-controlled RCTs (7,396 participants, 50% males, mean age 42 y (range 23 to 55 y), 5 different SGLT2i evaluated), were included. Main outcome measures were effect sizes and moderators of glycemic and non-glycemic efficacy and of safety outcomes. In a multivariable meta-regression model, baseline BMI (β = 0.439 [95% CI: 0.211, 0.666], p &lt; 0.001) and estimated glucose disposal rate (eGDR) (β = -0.766 [-1.276, -0.256], p = 0.001) were associated with the RR of DKA (RR: 2.81; 95% CI:1.97, 4.01; p &lt; 0.001, R2 = 61%). A model including also treatment-related parameters (insulin dose change-to-baseline insulin sensitivity ratio and volume depletion) explained 86% of variance across studies in the risk of DKA (R2 = 86%). The association of DKA with a BMI &gt;27 kg/m2 and with an eGDR &lt;8.3 mg/kg/min was confirmed also in subgroup analyses. Among efficacy outcomes, the novel findings were a reduction in albuminuria (WMD: -9.91, 95% CI: -16.26, -3.55 mg/g, p = 0.002), and in RR of diabetic eye disorders (RR: 0.27[0.11, 0.67], p = 0.005) associated with SGLT2i. A SGLT2i dose-response gradient was consistently observed for main efficacy outcomes, but not for adverse events (AEs). Overall, predictors of DKA and of other AEs differed substantially from those of glycemic and non-glycemic efficacy. A limitation of our analysis was the relatively short (≤52 weeks) duration of included RCTs. The potential relevance for clinical practice needs also to be confirmed by real-world prospective studies. In T1DM, the risk of DKA and main therapeutic responses to SGLT2i are modified by baseline BMI and insulin resistance, by total insulin dose reduction-to-baseline insulin sensitivity ratio, and by volume depletion, which may enable the targeted use of these drugs in patients with the greatest benefit and the lowest risk of DKA.</description><subject>Adult</subject><subject>Bias</subject><subject>Biology and Life Sciences</subject><subject>Body mass index</subject><subject>Care and treatment</subject><subject>Comparative analysis</subject><subject>Complications and side effects</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1 - complications</subject><subject>Diabetes Mellitus, Type 1 - diagnosis</subject><subject>Diabetes Mellitus, Type 1 - drug therapy</subject><subject>Diabetic acidosis</subject><subject>Diabetic Ketoacidosis - chemically induced</subject><subject>Diabetic Ketoacidosis - diagnosis</subject><subject>Diabetics</subject><subject>Diagnosis</subject><subject>Distribution</subject><subject>Dosage and administration</subject><subject>Drug development</subject><subject>Drug dosages</subject><subject>Epidermal growth factor receptors</subject><subject>Eye disorders</subject><subject>Fasting</subject><subject>Female</subject><subject>Genital tract</subject><subject>Glucose</subject><subject>Handbooks</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Hypoglycemia</subject><subject>Hypoglycemic agents</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Intervention</subject><subject>Ketoacidosis</subject><subject>Laboratory testing</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Middle Aged</subject><subject>Na+/glucose cotransporter</subject><subject>Optimization</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Regulatory agencies</subject><subject>Renal function</subject><subject>Research and Analysis Methods</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Sodium-Glucose Transporter 2 Inhibitors - adverse effects</subject><subject>Treatment Outcome</subject><subject>Type 1 diabetes</subject><subject>Urinary tract</subject><subject>Young Adult</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNp1UsFu1DAQjRCIloU_QGCJCxyy2LETJz0grSoolVbiQDlbjj3Juk3iYDug_Rs-FYdNq660yAdb4zdv3sy8JHlN8JpQTj7e2skNsluPPeg1wZiygjxJzknOqpQUvHj66H2WvPD-FuOswhV-npxRSjmlRXme_Nl4D96boUVhB8gZf4dsg-4gWKmMtt54pCdAwSJvtZn6tO0mZT0gZYOTgx-tC-DQ--9X25sPaYbMsDO1Cdb5-ESjDAaG4NFvE3Yo7EdABGkjawjgL9AG9RBkKmMf-7mSHPQh4qB1syw7vEyeNbLz8Gq5V8mPL59vLr-m229X15ebbaoKSkLKCp1pyjXOVF1RpiqpiOQVQA4ZLzXLGMtpJSlozMtSqrycsbgpG5nVPK_pKnl74B0768UyXC8yVmFK8rzMI-L6gNBW3orRmV66vbDSiH8B61ohXTCqAwGZwhWnhCiNGcNNned5XVRlJjOJCSsj16el2lTH_ak4Iye7I9Ljn8HsRGt_Cc454XgmeLcQOPtzAh_-I3lBtTKqMkMz70z1xiuxKfIopJp9sErSE6gWBoiV7QCNieEj_PoEPh4NvVEnE9ghQTnrvYPmoVGCxWzme_FiNrNYzBzT3jwe0kPSvXvpX9ZP8uU</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Musso, Giovanni</creator><creator>Sircana, Antonio</creator><creator>Saba, Francesca</creator><creator>Cassader, Maurizio</creator><creator>Gambino, Roberto</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope><orcidid>https://orcid.org/0000-0002-8569-2872</orcidid></search><sort><creationdate>20201201</creationdate><title>Assessing the risk of ketoacidosis due to sodium-glucose cotransporter (SGLT)-2 inhibitors in patients with type 1 diabetes: A meta-analysis and meta-regression</title><author>Musso, Giovanni ; 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Ability to predict DKA risk and therapeutic responses would enable appropriate patient selection for SGLT2i. We conducted a meta-analysis and meta-regression of randomized controlled trials (RCTs) evaluating SGLT2i in T1DM to assess moderators of the relative risk (RR) of DKA, of glycemic (HbA1c, fasting plasma glucose, continuous glucose monitoring parameters, insulin dose, and insulin sensitivity indices) and non-glycemic (body mass index (BMI), systolic BP, renal function, albuminuria, and diabetic eye disorders) efficacy, and of other safety outcomes (including hypoglycemia, infections, major adverse cardiovascular events, and death). We searched MEDLINE, Cochrane Library, EMBASE, ClinicalTrials.gov, Cochrane CENTRAL Register of Controlled Trials, and other electronic sources through August 30, 2020, for RCTs comparing SGLT2i with active comparators or placebo in adult patients with T1DM. Reviewers extracted data for relevant outcomes, performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. The strength of evidence was summarized with the GRADE approach. Among 9,914 records identified, 18 placebo-controlled RCTs (7,396 participants, 50% males, mean age 42 y (range 23 to 55 y), 5 different SGLT2i evaluated), were included. Main outcome measures were effect sizes and moderators of glycemic and non-glycemic efficacy and of safety outcomes. In a multivariable meta-regression model, baseline BMI (β = 0.439 [95% CI: 0.211, 0.666], p &lt; 0.001) and estimated glucose disposal rate (eGDR) (β = -0.766 [-1.276, -0.256], p = 0.001) were associated with the RR of DKA (RR: 2.81; 95% CI:1.97, 4.01; p &lt; 0.001, R2 = 61%). A model including also treatment-related parameters (insulin dose change-to-baseline insulin sensitivity ratio and volume depletion) explained 86% of variance across studies in the risk of DKA (R2 = 86%). The association of DKA with a BMI &gt;27 kg/m2 and with an eGDR &lt;8.3 mg/kg/min was confirmed also in subgroup analyses. Among efficacy outcomes, the novel findings were a reduction in albuminuria (WMD: -9.91, 95% CI: -16.26, -3.55 mg/g, p = 0.002), and in RR of diabetic eye disorders (RR: 0.27[0.11, 0.67], p = 0.005) associated with SGLT2i. A SGLT2i dose-response gradient was consistently observed for main efficacy outcomes, but not for adverse events (AEs). Overall, predictors of DKA and of other AEs differed substantially from those of glycemic and non-glycemic efficacy. A limitation of our analysis was the relatively short (≤52 weeks) duration of included RCTs. The potential relevance for clinical practice needs also to be confirmed by real-world prospective studies. In T1DM, the risk of DKA and main therapeutic responses to SGLT2i are modified by baseline BMI and insulin resistance, by total insulin dose reduction-to-baseline insulin sensitivity ratio, and by volume depletion, which may enable the targeted use of these drugs in patients with the greatest benefit and the lowest risk of DKA.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33373368</pmid><doi>10.1371/journal.pmed.1003461</doi><orcidid>https://orcid.org/0000-0002-8569-2872</orcidid><oa>free_for_read</oa></addata></record>
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1549-1277
1549-1676
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source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central
subjects Adult
Bias
Biology and Life Sciences
Body mass index
Care and treatment
Comparative analysis
Complications and side effects
Diabetes
Diabetes mellitus (insulin dependent)
Diabetes Mellitus, Type 1 - complications
Diabetes Mellitus, Type 1 - diagnosis
Diabetes Mellitus, Type 1 - drug therapy
Diabetic acidosis
Diabetic Ketoacidosis - chemically induced
Diabetic Ketoacidosis - diagnosis
Diabetics
Diagnosis
Distribution
Dosage and administration
Drug development
Drug dosages
Epidermal growth factor receptors
Eye disorders
Fasting
Female
Genital tract
Glucose
Handbooks
Hemoglobin
Humans
Hypoglycemia
Hypoglycemic agents
Insulin
Insulin resistance
Intervention
Ketoacidosis
Laboratory testing
Male
Medicine and Health Sciences
Meta-analysis
Middle Aged
Na+/glucose cotransporter
Optimization
Patients
Physical Sciences
Randomized Controlled Trials as Topic
Regulatory agencies
Renal function
Research and Analysis Methods
Risk Assessment
Risk Factors
Sodium-Glucose Transporter 2 Inhibitors - adverse effects
Treatment Outcome
Type 1 diabetes
Urinary tract
Young Adult
title Assessing the risk of ketoacidosis due to sodium-glucose cotransporter (SGLT)-2 inhibitors in patients with type 1 diabetes: A meta-analysis and meta-regression
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