Literature DB >> 33191264

Association of nephrolithiasis with the risk of cardiovascular diseases: a longitudinal follow-up study using a national health screening cohort.

So Young Kim1, Woo Jin Bang2, Chanyang Min3, Hyo Geun Choi4.   

Abstract

OBJECTIVES: The aim of this study was to explore the associations of stroke and ischaemic heart disease in patients with nephrolithiasis.
DESIGN: A longitudinal follow-up study.
SETTING: Data from the Korean National Health Insurance Service-Health Screening Cohort (2002-2013) were retrieved to identify the occurrence of nephrolithiasis. PARTICIPANTS AND
INTERVENTIONS: In total, 19 103 patients with nephrolithiasis were matched at a 1:4 ratio with control participants for age, sex, income and region of residence. PRIMARY AND SECONDARY OUTCOME MEASURES: The occurrence of stroke and ischaemic heart disease was analysed in both patients with nephrolithiasis and control participants. The primary outcome was HRs of stroke and ischaemic heart disease in a stratified Cox proportional hazards model. Smoking, alcohol consumption, obesity and Charlson Comorbidity Index were adjusted for as covariates. Subgroup analyses according to age and sex were also performed.
RESULTS: Eight per cent (1615/19 103) of patients with nephrolithiasis and 7.2% (5476/76 412) of control participants had stroke. Nine per cent (1879/19 103) of patients with nephrolithiasis and 7.7% (5895/76 412) of control participants had ischaemic heart disease. Patients with nephrolithiasis had risks of stroke and ischaemic heart disease that were 1.18 times (95% CI=1.11 to 1.24) and 1.24 times (95% CI=1.18 to 1.31) those of the control participants, respectively. The age and sex subgroups showed consistent results.
CONCLUSIONS: Nephrolithiasis was associated with increased risks of stroke and ischaemic heart disease. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cohort studies; myocardial ischemia; nephrolithiasis; risk factors; stroke

Mesh:

Year:  2020        PMID: 33191264      PMCID: PMC7668357          DOI: 10.1136/bmjopen-2020-040034

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This study adds to previous findings by analysing a large cohort. The large study population provided many control participants matched for age, sex, income and region of residence. The lifestyle factors of obesity, smoking status and alcohol consumption and the additional factors of Charlson Comorbidity Index, total cholesterol and fasting blood glucose were adjusted for to minimise confounding by these covariates. Because these data were based on medical claim codes, subclinical or untreated patients might have been missed in this study.

Introduction

Nephrolithiasis is a common urinary tract disease. Approximately 4.2%–10.1% of the worldwide population and 3.5% of the Korean population have nephrolithiasis.1–3 The prevalence of nephrolithiasis is increasing worldwide.4 The increasing prevalence of obesity has been suspected to promote the formation of nephrolithiasis.5 Acute renal colic due to blockage of the ureter is an acute urinary manifestation of nephrolithiasis. In addition, nephrolithiasis can be associated with systemic comorbidities, including metabolic syndrome.6 For decades, a growing number of epidemiological studies have suggested the association of nephrolithiasis with systemic comorbidities, such as diabetes and hypertension.7 8 Because these comorbidities are predisposing conditions for cardiovascular disorders, researchers have also explored the associations between nephrolithiasis and cardiovascular disorders.9–11 Previous studies have reported an association between nephrolithiasis and stroke.9 10 However, to our knowledge, neither our prior study nor most other published studies have considered the impacts of lifestyle factors, including obesity, smoking and alcohol consumption, on the association between nephrolithiasis and stroke. Because renal stone formation, as well as cardiovascular disease, has been suggested to be related to obesity and smoking, the possible confounding effects of these covariates should be controlled to elucidate the true association between nephrolithiasis and cardiovascular diseases.12 13 In addition, because cerebrovascular disease (stroke) and cardiovascular disease (ischaemic heart disease) are associated with each other, these vascular disorders need to be independently considered regarding their relationship with nephrolithiasis. We hypothesised that nephrolithiasis might increase the risks of both stroke and ischaemic heart disease, probably due to their shared pathophysiology. This study is an improvement on our previous study on the association between nephrolithiasis and stroke due to the inclusion of ischaemic heart disease. In addition, potential confounders, including obesity, smoking and alcohol consumption, were considered. The risks of stroke and ischaemic heart disease were analysed by adjusting for medical histories using the Charlson Comorbidity Index (CCI) and lifestyle factors, including obesity, smoking and alcohol consumption. Because prior studies indicated that there might be sex-based differences in the association between nephrolithiasis and cardiovascular disease,10 subgroup analyses were conducted.

Materials and methods

Study population

A detailed description of the Korean National Health Insurance Service–Health Screening Cohort (NHIS-NSC) data is available elsewhere.14

Definition of nephrolithiasis

Nephrolithiasis was defined if the participants were diagnosed with the International Classification of Diseases, 10th Revision (ICD-10) code N20 ≥2 times, as in our previous studies.9 15

Definition of stroke and ischaemic heart disease

Stroke and ischaemic heart disease were identified based on ICD-10 codes (I60-I69 for stroke and I20-I25 for ischaemic heart disease), as in our previous study.9

Participant selection

Patients with ephrolithiasis (n=22 003) were selected from 514 866 participants with 497 931 549 medical claim codes. The control group included participants who were never diagnosed with nephrolithiasis from 2002 to 2013 (n=492 863). Patients with nephrolithiasis were matched at a 1:4 ratio with the control participants for age, sex, income and region of residence. To minimise selection bias, the control participants were selected with random number generation. The index date of each patient with nephrolithiasis was considered the date of the first diagnosis of nephrolithiasis. The index date of the control participants was considered the index date of their matched patient with nephrolithiasis. Therefore, each matched patient with nephrolithiasis and their respective control participants had the same index date. Nine patients with nephrolithiasis who had previous stroke or ischaemic heart disease before the index date were excluded. Control participants who had previous stroke or ischaemic heart disease before the index date were also excluded. Among the control participants, 404 887 were excluded during the matching procedure. Finally, 19 103 patients with nephrolithiasis were 1:4 matched with 76 412 control participants (figure 1). The patients with nephrolithiasis who visited the emergency department or were hospitalised were classified as having severe nephrolithiasis, whereas others were classified as having mild to moderate nephrolithiasis.
Figure 1

A schematic illustration of the participant selection process that was used in this study. Of a total of 514 866 participants, 21 994 patients with nephrolithiasis were matched with 87 976 control participants for age, sex, income and region of residence.

A schematic illustration of the participant selection process that was used in this study. Of a total of 514 866 participants, 21 994 patients with nephrolithiasis were matched with 87 976 control participants for age, sex, income and region of residence.

Covariates

Patients were divided into age groups with 5-year intervals: 40–44, 45–49, 50–54, … and 85+ years. A total of 10 age groups were specified. There were five income classes (classes 1 (lowest income) to 5 (highest income)). The region of residence was categorised as urban (Seoul, Busan, Daegu, Incheon, Gwangju, Daejeon and Ulsan) or rural (Gyeonggi, Gangwon, Chungcheongbuk, Chungcheongnam, Jeollabuk, Jeollanam, Gyeongsangbuk, Gyeongsangnam and Jeju). Tobacco smoking was categorised based on the participant’s current smoking status (non-smoker, past smoker or current smoker). Alcohol consumption was categorised based on the frequency of alcohol consumption (non-drinker, 1–3 times a month and ≥1 time a week) because previous studies indicated a positive association of nephrolithiasis with binge drinking16 and a negative association with moderate alcohol consumption.17 Obesity was determined according to the body mass index (BMI, kg/m2). Missing BMI variables were replaced by the mean BMI of the final selected participants. BMI was categorised as <18.5 (underweight), ≥18.5 to <23 (normal), ≥23 to <25 (overweight), ≥25 to <30 (obese I) or ≥30 (obese II) based on the Asia-Pacific criteria produced by the Western Pacific Regional Office 2000.18 Serum levels of total cholesterol (mg/dL) and fasting glucose (mg/dL) were included as continuous variables. The CCI has been widely used to measure the disease burden based on 17 comorbidities. A score was calculated for each participant depending on the number and severity of diseases. The CCI was measured as a continuous variable (0 (no comorbidities) to 29 (multiple comorbidities)).19 20 The scores excluding cerebrovascular disease were calculated. The CCI score was evaluated as a continuous variable.

Statistical analyses

The general characteristics were compared between the nephrolithiasis and control groups with χ2 tests. To analyse the HRs and 95% CIs of stroke and ischaemic heart disease in patients with nephrolithiasis compared with control participants, a stratified Cox proportional hazards model was used. In this analysis, a crude model and a model adjusted for obesity, smoking status, alcohol consumption and CCI score were generated. The analysis was stratified by matching variables such as age, sex, income and region of residence. Kaplan-Meier curves were constructed, and log-rank tests were performed. For the subgroup analyses, we stratified the participants by age and sex (aged <60 years and ≥60 years; men and women) and severity of nephrolithiasis (mild to moderate and severe), and analysed the crude and adjusted models. Two-tailed analyses were performed, and significance was defined as a p value less than 0.05. SAS V.9.4 (SAS Institute) was used for statistical analyses.

Patient and public involvement

This national cohort study used data from the NHIS-NSC. Detailed descriptions of these data are available in our previous studies.21 22 No patients were involved in the development of the research question or the design of the study. We have no plan to disseminate the results to the patients. Because the NHIS-NSC data are based on national health claim codes, release of the data by the researcher is illegal. All data are available from the National Health Insurance Sharing Service (NHISS) database (https://nhiss.nhis.or.kr/). The NHISS allows all of these data to be used by any researcher who promises to follow the research ethics guidelines, with some associated costs. If one wants to access the data described in this article, one could download them from the website after promising to adhere to the research ethics requirements.

Results

Age, sex, income and region of residence were exactly matched between the nephrolithiasis and control groups (p=1.000). The rates of low CCI, overweight, obesity I, obesity II and non-smoker status were higher in the nephrolithiasis group than in the control group (each p<0.05). The distribution of alcohol consumption and the serum level of total cholesterol were different between the nephrolithiasis group and the control group (each p<0.001). The prevalence of stroke and ischaemic heart disease was lower in the nephrolithiasis group than in the control group (p<0.001; table 1).
Table 1

General characteristics of participants

CharacteristicsTotal participants
NephrolithiasisControlP value
Age (years), n (%)1.000
 40–441593 (8.3)6372 (8.3)
 45–493659 (19.2)14 636 (19.2)
 50–544570 (23.9)18 280 (23.9)
 55–593525 (18.5)14 100 (18.5)
 60–642570 (13.5)10 280 (13.5)
 65–691709 (9.0)6836 (9.0)
 70–74955 (5.0)3820 (5.0)
 75–79402 (2.1)1608 (2.1)
 80–84102 (0.5)408 (0.5)
 85+18 (0.1)72 (0.1)
Sex, n (%)1.000
 Male12 303 (64.4)49 212 (64.4)
 Female6800 (35.6)27 200 (35.6)
Income, n (%)1.000
 1 (lowest)2576 (13.5)10 304 (13.5)
 22269 (11.9)9076 (11.9)
 32893 (15.1)11 572 (15.1)
 44108 (21.5)16 432 (21.5)
 5 (highest)7257 (38.0)29 028 (38.0)
Region of residence, n (%)1.000
 Urban8667 (45.4)34 668 (45.4)
 Rural10 436 (54.6)41 744 (54.6)
CCI score, n (%)0.005*
 018 735 (98.1)74 671 (97.7)
 158 (0.3)370 (0.5)
 272 (0.4)336 (0.4)
 353 (0.3)257 (0.3)
 ≥4185 (1.0)778 (1.0)
Obesity (BMI, kg/m2), n (%)<0.001*
 <18.5 (underweight)267 (1.4)1642 (2.2)
 ≥18.5 to <23 (normal)5546 (29.0)27 089 (35.5)
 ≥23 to <25 (overweight)5586 (29.2)21 246 (27.8)
 ≥25 to <30 (obese I)7069 (37.0)24 472 (32.0)
 ≥30 (obese II)635 (3.3)1963 (2.6)
Smoking status, n (%)<0.001*
 Non-smoker12 434 (65.1)48 225 (63.1)
 Past smoker2490 (13.0)9512 (12.5)
 Current smoker4179 (21.9)18 675 (24.4)
Alcohol consumption, n (%)<0.001*
 Non-drinker11 030 (57.7)40 219 (52.6)
 1–3 times per month2985 (15.6)12 417 (16.3)
 ≥1 time per week5088 (26.6)23 776 (31.1)
Total cholesterol(mg/dL), mean (SD)201.8 (37.2)199.4 (37.3)<0.001†
Fasting blood glucose(mg/dL), mean (SD)99.8 (28.8)99.5 (29.9)0.186
Stroke, n (%)1615 (8.5)5476 (7.2)<0.001*
Ischaemic heart disease, n (%)1879 (9.8)5895 (7.7)<0.001*

*χ2 test. Significance at p<0.05.

†Independent t test. Significance at p<0.05.

BMI, body mass index; CCI, Charlson Comorbidity Index.

General characteristics of participants *χ2 test. Significance at p<0.05. †Independent t test. Significance at p<0.05. BMI, body mass index; CCI, Charlson Comorbidity Index. The adjusted HR of stroke in the nephrolithiasis group was 1.18 (95% CI=1.11 to 1.24, p<0.001) (figure 2A). In the subgroup analyses according to age and sex, the adjusted HRs of stroke were higher in the nephrolithiasis group than in the control group, except for in the subgroup of men aged ≥60 years (table 2).
Figure 2

Kaplan-Meier survival analysis. (A) The cumulative rate of stroke was higher in the nephrolithiasis group than in the control group. (B) The cumulative rate of ischaemic heart disease was higher in the nephrolithiasis group than in the control group.

Table 2

Crude and adjusted HRs (95% CIs) for stroke in the nephrolithiasis and control groups

CharacteristicsHRs for stroke
Crude*P valueAdjusted*†P value
Total participants (n=95 515)
 Nephrolithiasis1.19 (1.12 to 1.25)<0.001‡1.18 (1.11 to 1.24)<0.001‡
 Control1.001.00
Age <60 years, men (n=44 595)
 Nephrolithiasis1.23 (1.12 to 1.36)<0.001‡1.22 (1.11 to 1.35)<0.001‡
 Control1.001.00
Age <60 years, women (n=22 140)
 Nephrolithiasis1.32 (1.16 to 1.51)<0.001‡1.27 (1.11 to 1.44)<0.001‡
 Control1.001.00
Age ≥60 years, men (n=16 920)
 Nephrolithiasis1.03 (0.93 to 1.15)0.5431.03 (0.92 to 1.14)0.614
 Control1.001.00
Age ≥60 years, women (n=11 860)
 Nephrolithiasis1.23 (1.09 to 1.38)0.001‡1.22 (1.08 to 1.37)0.001‡
 Control1.001.00

*Models stratified by age, sex, income and region of residence.

†Adjusted for obesity, smoking, alcohol consumption, fasting blood glucose, total cholesterol and Charlson Comorbidity Index scores.

‡Cox proportional hazards regression model, significance at p<0.05.

Kaplan-Meier survival analysis. (A) The cumulative rate of stroke was higher in the nephrolithiasis group than in the control group. (B) The cumulative rate of ischaemic heart disease was higher in the nephrolithiasis group than in the control group. Crude and adjusted HRs (95% CIs) for stroke in the nephrolithiasis and control groups *Models stratified by age, sex, income and region of residence. †Adjusted for obesity, smoking, alcohol consumption, fasting blood glucose, total cholesterol and Charlson Comorbidity Index scores. ‡Cox proportional hazards regression model, significance at p<0.05. The adjusted HR of ischaemic heart disease in the nephrolithiasis group was 1.24 (95% CI=1.18 to 1.31, p<0.001) (figure 2B). In the subgroup analyses according to age and sex, the adjusted HRs of ischaemic heart disease were higher in the nephrolithiasis group than in the control group (table 3). The associations of stroke and ischaemic heart disease with nephrolithiasis remained consistent when considering a 1-year washout period (online supplemental tables S1 and S2). Patients with both mild to moderate and severe nephrolithiasis had higher odds of stroke and ischaemic heart disease (online supplemental tables S3 and S4). When the participants were stratified by smoking, alcohol consumption and obesity, the association of nephrolithiasis with stroke was consistent in all subgroups, except for in the past smoker, underweight and obese II subgroups (online supplemental tables S5 and S6).
Table 3

Crude and adjusted HRs (95% CIs) for ischaemic heart disease in the nephrolithiasis and control groups

CharacteristicsHRs for ischaemic heart disease
Crude*P valueAdjusted*†P value
Total participants (n=95 515)
 Nephrolithiasis1.29 (1.23 to 1.36)<0.001‡1.24 (1.18 to 1.31)<0.001‡
 Control1.001.00
Age <60 years, men (n=44 595)
 Nephrolithiasis1.29 (1.19 to 1.39)<0.001‡1.24 (1.14 to 1.34)<0.001‡
 Control1.001.00
Age <60 years, women (n=22 140)
 Nephrolithiasis1.51 (1.34 to 1.70)<0.001‡1.43 (1.27 to 1.62)<0.001‡
 Control1.001.00
Age ≥60 years, men (n=16 920)
 Nephrolithiasis1.23 (1.10 to 1.37)<0.001‡1.18 (1.05 to 1.32)0.004‡
 Control1.001.00
Age ≥60 years, women (n=11 860)
 Nephrolithiasis1.18 (1.04 to 1.35)0.009‡1.16 (1.02 to 1.32)0.024‡
 Control1.001.00

*Models stratified by age, sex, income and region of residence.

†Adjusted for obesity, smoking, alcohol consumption, fasting blood glucose, total cholesterol and Charlson Comorbidity Index scores.

‡Cox proportional hazards regression model, significance at p<0.05.

Crude and adjusted HRs (95% CIs) for ischaemic heart disease in the nephrolithiasis and control groups *Models stratified by age, sex, income and region of residence. †Adjusted for obesity, smoking, alcohol consumption, fasting blood glucose, total cholesterol and Charlson Comorbidity Index scores. ‡Cox proportional hazards regression model, significance at p<0.05.

Discussion

Patients with nephrolithiasis had 1.18 times and 1.25 times higher risks of stroke and ischaemic heart disease, respectively. These increased risks of stroke and ischaemic heart disease were consistent in all age and sex subgroups, except for in men aged ≥60 years, in whom there was no association between nephrolithiasis and stroke. This study added to previous findings by analysing a large cohort. The large study population provided many control participants matched for age, sex, income and region of residence. Furthermore, the lifestyle factors of obesity, smoking status and alcohol consumption, and medical histories were adjusted for to minimise confounding by these covariates. This study was a longitudinal follow-up study that explored the causal relationship between nephrolithiasis and stroke or ischaemic heart disease. Participants who had previous histories of stroke or ischaemic heart disease before the index date were excluded. In addition, participants who had histories of stroke or ischaemic heart disease at 1 year and 2 years after the index date were excluded from the supplementary analyses. The metabolic perturbations in patients with nephrolithiasis, which manifest as hypercalciuria, hyperuricaemia or hyperoxaluria, could mediate the increased risk of cardiovascular plaque formation and metabolic changes associated with cardiovascular disorders. It has been suggested that the abnormal calcification process is similar in the atherosclerosis of cerebral or coronary vasculature and in the formation of nephrolithiasis.23 There is evidence of the presence of these metabolic changes in patients with nephrolithiasis; the levels of calcification inhibitors were found to be decreased in the blood and urine of patients with atherosclerosis and nephrolithiasis.23 In addition to the direct calcification process, other indirect metabolic changes in patients with nephrolithiasis might impact the risk of cardiovascular disorders. Patients with metabolic syndrome had 1.25 times (95% CI=1.03 to 1.50) higher odds of nephrolithiasis in a cross-sectional study.24 In an experimental animal study, a metabolic syndrome rat model with insulin resistance had an increased risk of urinary calcium stone formation.25 In a clinical study, the metabolic syndrome traits of obesity, hypertension, diabetes and dyslipidaemia were 1.78 times (95% CI=1.22 to 2.66) more common in patients with nephrolithiasis with recurrent or multiple stones.26 Therefore, nephrolithiasis should be considered a systemic metabolic disease rather than a local metabolic disease involving calcification. These systemic metabolic disturbances in patients with nephrolithiasis might mediate the increased risk of cardiovascular disorders. The risk of stroke was greater in patients with nephrolithiasis than in control participants in this study. Our previous study reported a 1.13 times (95% CI=1.06 to 1.21) greater risk of ischaemic stroke in patients with nephrolithiasis than in the control group.9 A recent meta-analysis reported that a history of nephrolithiasis was associated with a 1.23-fold (95% CI=1.06 to 1.38) increased relative risk of stroke.11 However, few previous studies considered smoking, obesity and alcohol consumption, and only selected comorbidities were used for adjustment. After adjusting for both lifestyle factors and medical histories, the risk of stroke was greater in patients with nephrolithiasis than in controls in this study. Moreover, the risk of ischaemic heart disease was greater in patients with nephrolithiasis than in controls in this study. A recent meta-analysis reported that the relative risk of coronary heart disease was 1.24 times (95% CI=1.14 to 1.36) higher in patients with nephrolithiasis.11 This figure is similar to the present HR of 1.25 (95% CI=1.18 to 1.31). The age and sex subgroup analyses indicated increased risks of stroke and ischaemic heart disease in patients with nephrolithiasis, except for in men aged ≥60 years. A meta-analysis showed that the pooled HR for myocardial infarction was 1.49 (95% CI=1.21 to 1.82) in the female group, whereas there was no association between nephrolithiasis and myocardial infarction in the male group.10 This female-specific association between nephrolithiasis and myocardial infarction can be explained by the higher rate of urinary tract infection in women than in men, which makes the female population vulnerable to systemic inflammation and atherosclerotic changes.27 28 In this study, the risk of ischaemic heart disease was increased in both male and female patients with nephrolithiasis. Further analyses adjusting for urinary tract infection (ICD-10: N30, 300,301, 302, 303, 304, 308, 309, 340, 341 and 342) were conducted, which showed the consistent association of nephrolithiasis with stroke and ischaemic heart disease, except for in the subgroup of women aged ≥60 years, in whom there was no significant association between nephrolithiasis and ischaemic heart disease (online supplemental tables S7–S9). The large sample population, matched control group and adjusted covariates meant that there were sufficient participants in the male subgroups, increasing the statistical power of this study. On the contrary, there was no association between nephrolithiasis and stroke in the ≥60-year-old male group in this study. The relatively small size of this subgroup could have led to the non-significant association in this group. In addition, the decreased rate of urinary tract infection and increased health-related quality of life in older men could attenuate the impact of nephrolithiasis on stroke.27 29 The longitudinal follow-up study design with a control group matched for demographic and socioeconomic factors enabled the elucidation of the previously mixed results on the causal association between nephrolithiasis and cardiovascular diseases. Medical histories and lifestyle factors were comprehensively adjusted for using the CCI and a survey of obesity, smoking and alcohol consumption. In addition, subgroup analyses were performed stratified by obesity, smoking and alcohol consumption. However, primarily because this study used medical claims data, a few limitations should be considered when interpreting the present results. Because these data were based on medical claim codes, laboratory findings, such as serum creatinine, bicarbonate, haemoglobin A1c and serum calcium levels, could not be obtained. In addition, subclinical or untreated patients might have been missed in the present results. The types of nephrolithiasis were not specified; thus, nephrolithiasis was heterogeneous in this study. To estimate the differences according to the severity of nephrolithiasis, subgroup analyses were conducted comparing patients with mild to moderate and severe nephrolithiasis. In addition, this study used a Korean national cohort; therefore, there could be ethnic differences in the association between nephrolithiasis and cardiovascular diseases.30

Conclusion

Nephrolithiasis was associated with increased risks of stroke and ischaemic heart disease in men and women aged ≥40 years. Mild to moderate and severe nephrolithiasis were related to elevated risks of stroke and ischaemic heart disease. This relationship was consistent after considering comorbidities and lifestyle factors, including obesity, smoking and alcohol consumption.
  29 in total

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Journal:  J Urol       Date:  2019-07-08       Impact factor: 7.450

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Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

4.  Myocardial infarction and alcohol consumption: a population-based case-control study.

Authors:  Helmut Schröder; Angels Masabeu; Maria Josep Marti; Montserrat Cols; Josep Maria Lisbona; Cristina Romagosa; Teresa Carión; Esther Vilert; Jaume Marrugat
Journal:  Nutr Metab Cardiovasc Dis       Date:  2006-10-30       Impact factor: 4.222

Review 5.  Nephrolithiasis as a systemic disorder.

Authors:  Khashayar Sakhaee
Journal:  Curr Opin Nephrol Hypertens       Date:  2008-05       Impact factor: 2.894

6.  Tobacco Smoking and Alcohol Consumption Are Related to Benign Parotid Tumor: A Nested Case-Control Study Using a National Health Screening Cohort.

Authors:  So Young Kim; Chanyang Min; Dong Jun Oh; Hyo Geun Choi
Journal:  Clin Exp Otorhinolaryngol       Date:  2019-05-14       Impact factor: 3.372

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8.  Body Mass Index and Kidney Stones: A Cohort Study of Japanese Men.

Authors:  Eiichi Yoshimura; Susumu S Sawada; I-Min Lee; Yuko Gando; Masamitsu Kamada; Munehiro Matsushita; Ryoko Kawakami; Ryosuke Ando; Takashi Okamoto; Koji Tsukamoto; Motohiko Miyachi; Steven N Blair
Journal:  J Epidemiol       Date:  2015-11-28       Impact factor: 3.211

9.  Bidirectional association between gastroesophageal reflux disease and depression: Two different nested case-control studies using a national sample cohort.

Authors:  So Young Kim; Hyung-Jong Kim; Hyun Lim; Il Gyu Kong; Miyoung Kim; Hyo Geun Choi
Journal:  Sci Rep       Date:  2018-08-06       Impact factor: 4.379

10.  Nephrolithiasis predicts ischemic stroke: A longitudinal follow-up study using a national sample cohort.

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Journal:  Life (Basel)       Date:  2022-04-28

3.  Global Variations in the Mineral Content of Bottled Still and Sparkling Water and a Description of the Possible Impact on Nephrological and Urological Diseases.

Authors:  Simone J M Stoots; Guido M Kamphuis; Rob Geraghty; Liffert Vogt; Michaël M E L Henderickx; B M Zeeshan Hameed; Sufyan Ibrahim; Amelia Pietropaolo; Enakshee Jamnadass; Sahar M Aljumaiah; Saeed B Hamri; Eugenio Ventimiglia; Olivier Traxer; Vineet Gauhar; Etienne X Keller; Vincent De Coninck; Otas Durutovic; Nariman K Gadzhiev; Laurian B Dragos; Tarik Emre Sener; Nick Rukin; Michele Talso; Panagiotis Kallidonis; Esteban Emiliani; Ewa Bres-Niewada; Kymora B Scotland; Naeem Bhojani; Athanasios Vagionis; Angela Piccirilli; Bhaskar K Somani
Journal:  J Clin Med       Date:  2021-06-27       Impact factor: 4.241

  3 in total

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