Sodium-Glucose Cotransporter-2 Inhibitors and the Risk for Severe Urinary Tract Infections A Population-Based Cohort Study

被引:166
作者
Dave, Chintan V. [1 ,2 ,3 ]
Schneeweiss, Sebastian [1 ,2 ,3 ]
Kim, Dae [1 ,2 ,3 ]
Fralick, Michael [1 ,2 ,3 ]
Tong, Angela [1 ,2 ,3 ]
Patorno, Elisabetta [1 ,2 ,3 ]
机构
[1] Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
[2] Harvard Med Sch, Boston, MA 02115 USA
[3] 1620 Tremont St,Suite 3030, Boston, MA 02120 USA
关键词
SGLT2; INHIBITORS; BACTERIURIA; OUTCOMES; ADULTS; DEATH; WOMEN;
D O I
10.7326/M18-3136
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Prior studies evaluating risk for severe urinary tract infections ( UTIs) with sodium-glucose cotransporter-2 ( SGLT-2) inhibitors have reported conflicting findings. Objective: To assess whether patients initiating use of SGLT-2 inhibitors were at increased risk for severe UTI events compared with those initiating use of dipeptidyl peptidase-4 ( DPP-4) inhibitors or glucagon-like peptide-1 receptor ( GLP-1) agonists. Design: Population-based cohort study. Setting: 2 large, U. S.-based databases of commercial claims ( March 2013 to September 2015). Participants: Within each database, 2 cohorts were created and matched 1: 1 on propensity score. Patients were aged 18 years or older, had type 2 diabetes mellitus, and were initiating use of SGLT-2 inhibitors versus DPP-4 inhibitors ( cohort 1) or GLP-1 agonists ( cohort 2). Measurements: The primary outcome was a severe UTI event, defined as a hospitalization for primary UTI, sepsis with UTI, or pyelonephritis; the secondary outcome was outpatient UTI treated with antibiotics. Hazard ratios ( HRs) were estimated in each propensity score-matched cohort, with adjustment for more than 90 baseline characteristics. Results: After 1: 1 matching on propensity score, 123 752 patients were identified in cohort 1 and 111 978 in cohort 2 in the 2 databases. In cohort 1, persons newly receiving SGLT-2 inhibitors had 61 severe UTI events ( incidence rate [ IR] per 1000 person-years, 1.76), compared with 57 events in the DPP-4 inhibitor group ( IR, 1.77) ( HR, 0.98 [ 95% CI, 0.68 to 1.41]). In cohort 2, those receiving SGLT-2 inhibitors had 73 events ( IR, 2.15), compared with 87 events in the GLP-1 agonist group ( IR, 2.96) ( HR, 0.72 [ CI, 0.53 to 0.99]). Findings were robust across sensitivity analyses; within several subgroups of age, sex, and frailty; and for canagliflozin and dapagliflozin individually. In addition, SGLT-2 inhibitors were not associated with increased risk for outpatient UTIs ( cohort 1: HR, 0.96 [ CI, 0.89 to 1.04]; cohort 2: HR, 0.91 [ CI, 0.84 to 0.99]). Limitation: Generalizability of the study findings may be limited to patients with commercial insurance. Conclusion: In a large cohort of patients seen in routine clinical practice, risk for severe and nonsevere UTI events among those initiating SGLT-2 inhibitor therapy was similar to that among patients initiating treatment with other second-line antidiabetic medications.
引用
收藏
页码:248 / +
页数:28
相关论文
共 28 条
[1]  
[Anonymous], 2015, FDA Drug Safety Communication: FDA warns that SGLT2 inhibitors for diabetes may result in a serious condition of too much acid in the blood
[2]   Clinical presentation of urinary tract infection (UTI) differs with aging in women [J].
Arinzon, Zeev ;
Shabat, Shay ;
Peisakh, Alexander ;
Berner, Yitshal .
ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2012, 55 (01) :145-147
[3]   A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (01) :119-151
[4]   A basic introduction to fixed-effect and random-effects models for meta-analysis [J].
Borenstein, Michael ;
Hedges, Larry V. ;
Higgins, Julian P. T. ;
Rothstein, Hannah R. .
RESEARCH SYNTHESIS METHODS, 2010, 1 (02) :97-111
[5]  
Chaplin S., 2016, PRESCRIBER, V27, P26, DOI DOI 10.1002/PSB.1521
[6]   Comparative risk of genital infections associated with sodium-glucose co-transporter-2 inhibitors [J].
Dave, Chintan V. ;
Schneeweiss, Sebastian ;
Patorno, Elisabetta .
DIABETES OBESITY & METABOLISM, 2019, 21 (02) :434-438
[7]   A Propensity-score-based Fine Stratification Approach for Confounding Adjustment When Exposure Is Infrequent [J].
Desai, Rishi J. ;
Rothman, Kenneth J. ;
Bateman, Brian T. ;
Hernandez-Diaz, Sonia ;
Huybrechts, Krista F. .
EPIDEMIOLOGY, 2017, 28 (02) :249-257
[8]   Metrics for covariate balance in cohort studies of causal effects [J].
Franklin, Jessica M. ;
Rassen, Jeremy A. ;
Ackermann, Diana ;
Bartels, Dorothee B. ;
Schneeweiss, Sebastian .
STATISTICS IN MEDICINE, 2014, 33 (10) :1685-1699
[9]   Use of SGLT2 inhibitors for diabetes and risk of infection: Analysis using general practice records from the NPS MedicineWise MedicineInsight program [J].
Gadzhanova, Svetla ;
Pratt, Nicole ;
Roughead, Elizabet .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2017, 130 :180-185
[10]   Effect of glucose and pH on uropathogenic and non-uropathogenic Escherichia coli:: studies with urine from diabetic and non-diabetic individuals [J].
Geerlings, SE ;
Brouwer, EC ;
Gaastra, W ;
Verhoef, J ;
Hoepelman, AIM .
JOURNAL OF MEDICAL MICROBIOLOGY, 1999, 48 (06) :535-539