Sodium‐glucose co‐transporter 2 inhibitors and the risk of fractures: A propensity score‐matched cohort study

Purpose To determine the risk of fractures associated with sodium‐glucose co‐transporter 2 inhibitors (SGLT2i) compared with dipeptidyl peptidase‐4 inhibitors (DPP4i). Methods We conducted a retrospective cohort study using data from the Truven Health MarketScan (2009‐2015) databases. Our cohort inc...

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Veröffentlicht in:Pharmacoepidemiology and drug safety 2019-12, Vol.28 (12), p.1629-1639
Hauptverfasser: Adimadhyam, Sruthi, Lee, Todd A., Calip, Gregory S., Smith Marsh, Daphne E., Layden, Brian T., Schumock, Glen T.
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container_end_page 1639
container_issue 12
container_start_page 1629
container_title Pharmacoepidemiology and drug safety
container_volume 28
creator Adimadhyam, Sruthi
Lee, Todd A.
Calip, Gregory S.
Smith Marsh, Daphne E.
Layden, Brian T.
Schumock, Glen T.
description Purpose To determine the risk of fractures associated with sodium‐glucose co‐transporter 2 inhibitors (SGLT2i) compared with dipeptidyl peptidase‐4 inhibitors (DPP4i). Methods We conducted a retrospective cohort study using data from the Truven Health MarketScan (2009‐2015) databases. Our cohort included patients newly initiating treatment with SGLT2i or DPP‐4i between 1 April 2013 and 31 March 2015 that were matched 1:1 using high dimensional propensity scores. Patients were followed up in an as‐treated approach starting from initiation of treatment until the earliest of any fracture, treatment discontinuation, disenrollment, or end of data (31 December 2015). Risk of fractures was determined at any time during the follow‐up, early in therapy (1‐14 days of the follow‐up), and later in therapy (15 days and beyond). Cox proportional hazards models were used to determine hazard ratios and robust 95% confidence intervals (95% CI). Results After matching, our cohort included 30 549 patients in each treatment group. Over a median follow‐up of 219 days, there were 745 fractures overall. The most common site for fractures was the foot (32.7%). The effect estimates for fracture risk occurring at any time during follow‐up, early in therapy, and later in therapy were HR 1.11 [95% CI 0.96‐1.28], HR 1.82 [95% CI 0.99‐3.32], and HR 1.07 [95% CI 0.92‐1.24], respectively. Conclusion There is a possible increase in risk for fractures early in therapy with SGLT2i. Beyond this initial period, SGLT2is had no apparent effect on the incidence of fractures.
doi_str_mv 10.1002/pds.4900
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Methods We conducted a retrospective cohort study using data from the Truven Health MarketScan (2009‐2015) databases. Our cohort included patients newly initiating treatment with SGLT2i or DPP‐4i between 1 April 2013 and 31 March 2015 that were matched 1:1 using high dimensional propensity scores. Patients were followed up in an as‐treated approach starting from initiation of treatment until the earliest of any fracture, treatment discontinuation, disenrollment, or end of data (31 December 2015). Risk of fractures was determined at any time during the follow‐up, early in therapy (1‐14 days of the follow‐up), and later in therapy (15 days and beyond). Cox proportional hazards models were used to determine hazard ratios and robust 95% confidence intervals (95% CI). Results After matching, our cohort included 30 549 patients in each treatment group. Over a median follow‐up of 219 days, there were 745 fractures overall. The most common site for fractures was the foot (32.7%). The effect estimates for fracture risk occurring at any time during follow‐up, early in therapy, and later in therapy were HR 1.11 [95% CI 0.96‐1.28], HR 1.82 [95% CI 0.99‐3.32], and HR 1.07 [95% CI 0.92‐1.24], respectively. Conclusion There is a possible increase in risk for fractures early in therapy with SGLT2i. Beyond this initial period, SGLT2is had no apparent effect on the incidence of fractures.</description><identifier>ISSN: 1053-8569</identifier><identifier>EISSN: 1099-1557</identifier><identifier>DOI: 10.1002/pds.4900</identifier><identifier>PMID: 31646732</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>cohort ; Cohort analysis ; Dipeptidyl-peptidase IV ; Fractures ; Glucose ; Glucose transporter ; Health risk assessment ; Inhibitors ; Peptidase ; safety ; SGLT2 inhibitors ; Sodium ; Statistical models ; study diabetes</subject><ispartof>Pharmacoepidemiology and drug safety, 2019-12, Vol.28 (12), p.1629-1639</ispartof><rights>2019 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4540-1b323f0cda6fd68d6898f0eb9c08728adf1c56af898669aa141b7e5f52a4f0b43</citedby><cites>FETCH-LOGICAL-c4540-1b323f0cda6fd68d6898f0eb9c08728adf1c56af898669aa141b7e5f52a4f0b43</cites><orcidid>0000-0003-1377-3902 ; 0000-0002-7744-3518</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpds.4900$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpds.4900$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31646732$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Adimadhyam, Sruthi</creatorcontrib><creatorcontrib>Lee, Todd A.</creatorcontrib><creatorcontrib>Calip, Gregory S.</creatorcontrib><creatorcontrib>Smith Marsh, Daphne E.</creatorcontrib><creatorcontrib>Layden, Brian T.</creatorcontrib><creatorcontrib>Schumock, Glen T.</creatorcontrib><title>Sodium‐glucose co‐transporter 2 inhibitors and the risk of fractures: A propensity score‐matched cohort study</title><title>Pharmacoepidemiology and drug safety</title><addtitle>Pharmacoepidemiol Drug Saf</addtitle><description>Purpose To determine the risk of fractures associated with sodium‐glucose co‐transporter 2 inhibitors (SGLT2i) compared with dipeptidyl peptidase‐4 inhibitors (DPP4i). Methods We conducted a retrospective cohort study using data from the Truven Health MarketScan (2009‐2015) databases. Our cohort included patients newly initiating treatment with SGLT2i or DPP‐4i between 1 April 2013 and 31 March 2015 that were matched 1:1 using high dimensional propensity scores. Patients were followed up in an as‐treated approach starting from initiation of treatment until the earliest of any fracture, treatment discontinuation, disenrollment, or end of data (31 December 2015). Risk of fractures was determined at any time during the follow‐up, early in therapy (1‐14 days of the follow‐up), and later in therapy (15 days and beyond). Cox proportional hazards models were used to determine hazard ratios and robust 95% confidence intervals (95% CI). Results After matching, our cohort included 30 549 patients in each treatment group. Over a median follow‐up of 219 days, there were 745 fractures overall. The most common site for fractures was the foot (32.7%). The effect estimates for fracture risk occurring at any time during follow‐up, early in therapy, and later in therapy were HR 1.11 [95% CI 0.96‐1.28], HR 1.82 [95% CI 0.99‐3.32], and HR 1.07 [95% CI 0.92‐1.24], respectively. Conclusion There is a possible increase in risk for fractures early in therapy with SGLT2i. Beyond this initial period, SGLT2is had no apparent effect on the incidence of fractures.</description><subject>cohort</subject><subject>Cohort analysis</subject><subject>Dipeptidyl-peptidase IV</subject><subject>Fractures</subject><subject>Glucose</subject><subject>Glucose transporter</subject><subject>Health risk assessment</subject><subject>Inhibitors</subject><subject>Peptidase</subject><subject>safety</subject><subject>SGLT2 inhibitors</subject><subject>Sodium</subject><subject>Statistical models</subject><subject>study diabetes</subject><issn>1053-8569</issn><issn>1099-1557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kdtqFTEUhkNRelLwCSTgTW-m5jwT70oPKhQUqtdDJgd36sxkzMpQ9p2P4DP2Scy2VUEQAitr5eNjkR-hF5ScUkLY68XBqdCE7KFDSrRuqJTtk91d8qaTSh-gI4BbQuqbFvvogFMlVMvZIYKb5OI63X__8WVcbQKPbapNyWaGJeXiM2Y4zps4xJIyYDM7XDYe5whfcQo4ZGPLmj28wWd4yWnxM8SyxWBT9lU0mWI33lXrptowlNVtn6GnwYzgnz_WY_T56vLT-bvm-sPb9-dn140VUpCGDpzxQKwzKjjV1aO7QPygLela1hkXqJXKhDpWShtDBR1aL4NkRgQyCH6MTh68da9vq4fSTxGsH0cz-7RCzzjpJCNc84q--ge9TWue63aVYkJx2hL9V2hzAsg-9EuOk8nbnpJ-F0Rfg-h3QVT05aNwHSbv_oC_f74CzQNwF0e__a-o_3hx80v4E5zZlas</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Adimadhyam, Sruthi</creator><creator>Lee, Todd A.</creator><creator>Calip, Gregory S.</creator><creator>Smith Marsh, Daphne E.</creator><creator>Layden, Brian T.</creator><creator>Schumock, Glen T.</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1377-3902</orcidid><orcidid>https://orcid.org/0000-0002-7744-3518</orcidid></search><sort><creationdate>201912</creationdate><title>Sodium‐glucose co‐transporter 2 inhibitors and the risk of fractures: A propensity score‐matched cohort study</title><author>Adimadhyam, Sruthi ; Lee, Todd A. ; Calip, Gregory S. ; Smith Marsh, Daphne E. ; Layden, Brian T. ; Schumock, Glen T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4540-1b323f0cda6fd68d6898f0eb9c08728adf1c56af898669aa141b7e5f52a4f0b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>cohort</topic><topic>Cohort analysis</topic><topic>Dipeptidyl-peptidase IV</topic><topic>Fractures</topic><topic>Glucose</topic><topic>Glucose transporter</topic><topic>Health risk assessment</topic><topic>Inhibitors</topic><topic>Peptidase</topic><topic>safety</topic><topic>SGLT2 inhibitors</topic><topic>Sodium</topic><topic>Statistical models</topic><topic>study diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Adimadhyam, Sruthi</creatorcontrib><creatorcontrib>Lee, Todd A.</creatorcontrib><creatorcontrib>Calip, Gregory S.</creatorcontrib><creatorcontrib>Smith Marsh, Daphne E.</creatorcontrib><creatorcontrib>Layden, Brian T.</creatorcontrib><creatorcontrib>Schumock, Glen T.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Pharmacoepidemiology and drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Adimadhyam, Sruthi</au><au>Lee, Todd A.</au><au>Calip, Gregory S.</au><au>Smith Marsh, Daphne E.</au><au>Layden, Brian T.</au><au>Schumock, Glen T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sodium‐glucose co‐transporter 2 inhibitors and the risk of fractures: A propensity score‐matched cohort study</atitle><jtitle>Pharmacoepidemiology and drug safety</jtitle><addtitle>Pharmacoepidemiol Drug Saf</addtitle><date>2019-12</date><risdate>2019</risdate><volume>28</volume><issue>12</issue><spage>1629</spage><epage>1639</epage><pages>1629-1639</pages><issn>1053-8569</issn><eissn>1099-1557</eissn><abstract>Purpose To determine the risk of fractures associated with sodium‐glucose co‐transporter 2 inhibitors (SGLT2i) compared with dipeptidyl peptidase‐4 inhibitors (DPP4i). Methods We conducted a retrospective cohort study using data from the Truven Health MarketScan (2009‐2015) databases. Our cohort included patients newly initiating treatment with SGLT2i or DPP‐4i between 1 April 2013 and 31 March 2015 that were matched 1:1 using high dimensional propensity scores. Patients were followed up in an as‐treated approach starting from initiation of treatment until the earliest of any fracture, treatment discontinuation, disenrollment, or end of data (31 December 2015). Risk of fractures was determined at any time during the follow‐up, early in therapy (1‐14 days of the follow‐up), and later in therapy (15 days and beyond). Cox proportional hazards models were used to determine hazard ratios and robust 95% confidence intervals (95% CI). Results After matching, our cohort included 30 549 patients in each treatment group. Over a median follow‐up of 219 days, there were 745 fractures overall. The most common site for fractures was the foot (32.7%). The effect estimates for fracture risk occurring at any time during follow‐up, early in therapy, and later in therapy were HR 1.11 [95% CI 0.96‐1.28], HR 1.82 [95% CI 0.99‐3.32], and HR 1.07 [95% CI 0.92‐1.24], respectively. Conclusion There is a possible increase in risk for fractures early in therapy with SGLT2i. Beyond this initial period, SGLT2is had no apparent effect on the incidence of fractures.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31646732</pmid><doi>10.1002/pds.4900</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1377-3902</orcidid><orcidid>https://orcid.org/0000-0002-7744-3518</orcidid></addata></record>
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source Wiley Online Library Journals Frontfile Complete
subjects cohort
Cohort analysis
Dipeptidyl-peptidase IV
Fractures
Glucose
Glucose transporter
Health risk assessment
Inhibitors
Peptidase
safety
SGLT2 inhibitors
Sodium
Statistical models
study diabetes
title Sodium‐glucose co‐transporter 2 inhibitors and the risk of fractures: A propensity score‐matched cohort study
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