scholarly journals Second-generation antipsychotics and the risk of chronic kidney disease: a population-based case-control study

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e038247 ◽  
Author(s):  
Mikkel Højlund ◽  
Lars Christian Lund ◽  
Jonas Leander Emming Herping ◽  
Maija Bruun Haastrup ◽  
Per Damkier ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Second Generation ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Secondary Outcome ◽  
Increased Risk ◽  
Second Generation Antipsychotics ◽  
Control Study

ObjectivesTo examine the association between use of second-generation antipsychotics (SGA) and the risk of chronic kidney disease (CKD).DesignPopulation-based case-control study.SettingRoutinely collected laboratory, prescription and diagnostic information on all inhabitants with creatinine measurements residing on the island of Funen, Denmark (2001 to 2015).Participants21 434 cases with incident CKD matched with 85 576 CKD-free population controls by risk-set sampling using age, sex and calendar year.Primary and secondary outcome measuresCKD was defined as an estimated glomerular filtration rate below 60 mL/min/1.73 m2 in a period longer than 3 months. Information on drug exposure and comorbidities were obtained from the Danish National Prescription Register and the Danish National Patient Register. We calculated OR for the association between SGA use and CKD using conditional logistic regression.ResultsUse of SGAs was associated with increased risk of CKD among ever users (OR 1.24, 95% CI: 1.12 to 1.37) and current users (OR 1.26, 95% CI: 1.12 to 1.42). We found no clear evidence of dose-response relationship. Both short duration (one to two antipsychotic prescriptions; OR 1.22, 95% CI: 1.01 to 1.48) as well as long-term use (>30 prescriptions; OR 1.45, 95% CI 1.19 to 1.76) were associated with an increased risk of CKD. Both use of SGAs with mild and high risk of metabolic disturbances was associated with increased risk of CKD (OR 1.21, 95% CI: 1.06 to 1.39 and OR 1.36, 95% CI: 1.11 to 1.68, respectively). Recent use of non-steroidal anti-inflammatory drugs, prior use of lithium, hypertension or prior acute kidney injury were not clearly associated with development of CKD connected to SGA exposure. The highest risk of CKD was found for clozapine (OR 1.81, 95% CI: 1.22 to 2.69).ConclusionUse of SGA is associated with a small-to-moderately increased risk of incident CKD. All investigated SGAs, except for aripiprazole, were associated with an increased risk of CKD.

scholarly journals Association of Individual Non-Steroidal Anti-Inflammatory Drugs and Chronic Kidney Disease: A Population-Based Case Control Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0122899 ◽  
Author(s):  
Ylenia Ingrasciotta ◽  
Janet Sultana ◽  
Francesco Giorgianni ◽  
Andrea Fontana ◽  
Antonio Santangelo ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Inflammatory Drugs ◽  
Anti Inflammatory ◽  
Control Study

Chronic Kidney Disease Mortality Among Farmers From Brazil: A Population-Based Case-Control Study

2015 ◽  
Vol 2015 (1) ◽  
pp. 1048
Author(s):  
Adalberto L. Miranda-Filho ◽  
Samantha Serrano ◽  
Carmen Freire ◽  
Gina Torres Rego Monteiro
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Disease Mortality ◽  
Control Study

scholarly journals Benzodiazepine and Z-drug use and risk of pneumonia in patients with chronic kidney disease: A population-based nested case-control study

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0179472 ◽  
Author(s):  
Meng-Ting Wang ◽  
Yun-Han Wang ◽  
Hsin-An Chang ◽  
Chen-Liang Tsai ◽  
Ya-Sung Yang ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Drug Use ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Nested Case Control ◽  
Control Study

A case-control study of the effects of nephrolithiasis in cats with chronic kidney disease

2007 ◽  
Vol 230 (12) ◽  
pp. 1854-1859 ◽  
Author(s):  
Sheri J. Ross ◽  
Carl A. Osborne ◽  
Chalermpol Lekcharoensuk ◽  
Lori A. Koehler ◽  
David J. Polzin
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

scholarly journals Risk Factors for Herpes Zoster Infection in Patients With Chronic Kidney Disease: A Case-control Study

2021 ◽  
Author(s):  
Qiao Wang ◽  
Jiahui Ma ◽  
Zhenxing Li ◽  
Zhi Li ◽  
Dong Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Herpes Zoster ◽  
Kidney Disease ◽  
Odds Ratio ◽  
Case Control Study ◽  
Immunosuppressive Agents ◽  
Tertiary Hospital ◽  
Case Control ◽  
Control Study

Abstract Background: Chronic kidney disease (CKD) increases the susceptibility to the infection of herpes zoster (HZ). Less is known about the risk factors of HZ in CKD patients.Methods and Participants: This is a case-control study. CKD patients diagnosed with HZ infection between January 2015 and October 2020 in a tertiary hospital were identified. One age- and gender- matched control was paired for each case, matched to the date of initial HZ diagnose. The uni- and multivariate analysis were used to evaluate the risk factors for development of HZ in CKD patients.Results: Forty-six HZ patients and controls were identified. In general, about 80% (72 out of 92) patients were classified at end-stage renal disease (ESRD, CKD Ⅳ to Ⅴ). Multivariate analyses revealed that immunosuppressive agents (odds ratio: 12.50, 95% CI: 1.53-102.26, P=0.021) and dialysis (odds ratio: 3.33, 95% CI: 1.13-9.78, P=0.029) were independent risk factors of HZ in patient with CKD. Conclusion: Immunosuppressive medication and dialysis were associated with HZ infection in CKD. Further guideline may highlight the necessity of zoster vaccine for patients with CKD, who undertake immunosuppressive or dialysis treatment.

scholarly journals Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
C. Airoldi ◽  
C. Magnani ◽  
F. Lazzarato ◽  
D. Mirabelli ◽  
S. Tunesi ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Malignant Mesothelioma ◽  
Case Control Study ◽  
Disease Risk ◽  
Population Based ◽  
Case Control ◽  
Contour Plot ◽  
Increased Risk ◽  
The Impact ◽  
Control Study

Abstract Background Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. Methods A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. Results One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant (p < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. Conclusions In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials.

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