1.Body Mass Index and Outcomes in Patients with Severe Sepsis or Septic Shock.
Minjung Kathy CHAE ; Dae Jong CHOI ; Tae Gun SHIN ; Kyeongman JEON ; Gee Young SUH ; Min Seob SIM ; Keun Jeong SONG ; Yeon Kwon JEONG ; Ik Joon JO
The Korean Journal of Critical Care Medicine 2013;28(4):266-271
BACKGROUND: The aim of this study was to investigate the association between body mass index (BMI) and survival in patients with severe sepsis or septic shock. METHODS: We analyzed the sepsis registry of patients presenting to the emergency department (ED) of a tertiary urban hospital and meeting the criteria for severe sepsis or septic shock from August 2008 to March 2012. We categorized patients into the underweight group (BMI < 18.5 kg/m2), the normal weight group (18.5 < or = BMI < 25 kg/m2) and the obese group (BMI > or = 25 kg/m2). Then, we analyzed the registry to evaluate the relation between obesity and in-hospital mortality. RESULTS: A total of 770 adult patients with severe sepsis and septic shock were analyzed. In-hospital mortality rate of the underweight group (n = 86), the normal weight group (n = 489) and the obese group (n = 195) was 22.1%, 15.3% and 16.4%, respectively. In a multivariate regression analysis, the underweight group had a significant association with in-hospital mortality compared with the normal weight group (odds ratio [OR], 1.12; 95% confidence interval [CI], 0.68-1.87; p = 0.028). The obese group showed no significant difference in mortality (OR, 2.04; 95% CI, 1.08-3.86; p = 0.65). CONCLUSIONS: The underweight patients showed significantly higher mortality than the normal weight patients with severe sepsis and septic shock.
Adult
;
Body Mass Index*
;
Emergencies
;
Hospital Mortality
;
Hospitals, Urban
;
Humans
;
Mortality
;
Obesity
;
Sepsis*
;
Shock, Septic*
;
Thinness
2.Time-varying effects of body mass index on mortality among hemodialysis patients: Results from a nationwide Korean registry
Sejoong KIM ; Jong Cheol JEONG ; Shin Young AHN ; Kibbeum DOH ; Dong Chan JIN ; Ki Young NA
Kidney Research and Clinical Practice 2019;38(1):90-99
BACKGROUND: Unlike patterns observed in the general population, obesity is associated with better survival among hemodialysis patients, which could be explained by reverse causation or illness-related weight loss. However, the time-varying effect of body mass index (BMI) on hemodialysis survival has not been investigated. Therefore, this study investigated the time-varying effect of BMI on mortality after starting hemodialysis. METHODS: In the present study, we examined Korean Society of Nephrology data from 16,069 adult patients who started hemodialysis during or after the year 2000. Complete survival data were obtained from Statistics Korea. Survival analysis was performed using Cox regression and a non-proportional hazard fractional polynomial model. RESULTS: During the median follow-up of 8.6 years, 9,272 patients (57.7%) died. Compared to individuals with normal BMI (18.5–24.9 kg/m²), the underweight group (< 18.5 kg/m²) had a higer mortality hazard ratio (HR, 1.292; 95% confidence interval [CI], 1.203–1.387; P < 0.001) and the overweight group (25.0–29.9 kg/m²) had a lower mortality HR (0.904; 95% CI, 0.829–0.985; P = 0.022). The underweight group had increasing HRs during the first 3 to 7 years after starting hemodialysis, which varied according to age group. The young obese group (< 40 years old) had a U-shaped temporal trend in their mortality HRs, which reflected increased mortality after 7 years. CONCLUSION: The obese hemodialysis group had better survival during the early post-dialysis period, although the beneficial effect of obesity disappeared 7 years after starting hemodialysis. The young obese group also had an increased mortality HR after 7 years.
Adult
;
Body Mass Index
;
Follow-Up Studies
;
Humans
;
Korea
;
Models, Statistical
;
Mortality
;
Nephrology
;
Obesity
;
Overweight
;
Renal Dialysis
;
Thinness
;
Weight Loss
3.The Association of Preoperative Body Mass Index with Acute Kidney Injury in Liver Transplantation Recipients: A Retrospective Study.
Ju Yeon PARK ; Jung Hyun PARK ; Su Sung LEE ; Hyun Su RI ; Hye jin KIM ; Yun Mi CHOI ; Yoon Ji CHOI ; Ji Uk YOON
Korean Journal of Critical Care Medicine 2017;32(3):265-274
BACKGROUND: Liver transplantation (LT) is a complicated procedure with a high incidence of postoperative acute kidney injury (AKI). Previous studies indicate that even transient or mild post-LT AKI can result in critical conditions, including prolonged stays in hospitals and intensive care units and increased morbidity and mortality. The aim of this study was to investigate the association between body mass index (BMI) and occurrence of AKI in LT recipients. METHODS: Medical data from 203 patients who received LT surgery from January 2010 to August 2016 in a single university hospital setting were retrospectively collected and analyzed. Patients were classified as either underweight (BMI <20 kg/m²) or normal weight (20 ≤ BMI < 30 kg/m²). Demographic data, anesthetic methods, complications, and perioperative laboratory test values of each patient were assessed. Propensity analyses and logistic regression were performed to evaluate the association between BMI and post-LT AKI. RESULTS: There was no significant difference in occurrence of post-LT AKI between underweight and normal weight patients. The underweight patient group had significantly longer hospital stay compared with the normal weight patient group (P = 0.023). CONCLUSIONS: BMI classification was neither a positive nor negative predictor of postoperative AKI occurrence. However, patients with lower BMI had significantly longer hospital stay compared with their counterparts. Although our study was limited by its retrospective design, our observations suggest that lower BMI might play a role in post-LT AKI.
Acute Kidney Injury*
;
Body Mass Index*
;
Classification
;
Humans
;
Incidence
;
Intensive Care Units
;
Length of Stay
;
Liver Transplantation*
;
Liver*
;
Logistic Models
;
Mortality
;
Retrospective Studies*
;
Thinness
4.The Association of Preoperative Body Mass Index with Acute Kidney Injury in Liver Transplantation Recipients: A Retrospective Study
Ju Yeon PARK ; Jung Hyun PARK ; Su Sung LEE ; Hyun Su RI ; Hye jin KIM ; Yun Mi CHOI ; Yoon Ji CHOI ; Ji Uk YOON
The Korean Journal of Critical Care Medicine 2017;32(3):265-274
BACKGROUND: Liver transplantation (LT) is a complicated procedure with a high incidence of postoperative acute kidney injury (AKI). Previous studies indicate that even transient or mild post-LT AKI can result in critical conditions, including prolonged stays in hospitals and intensive care units and increased morbidity and mortality. The aim of this study was to investigate the association between body mass index (BMI) and occurrence of AKI in LT recipients. METHODS: Medical data from 203 patients who received LT surgery from January 2010 to August 2016 in a single university hospital setting were retrospectively collected and analyzed. Patients were classified as either underweight (BMI <20 kg/m²) or normal weight (20 ≤ BMI < 30 kg/m²). Demographic data, anesthetic methods, complications, and perioperative laboratory test values of each patient were assessed. Propensity analyses and logistic regression were performed to evaluate the association between BMI and post-LT AKI. RESULTS: There was no significant difference in occurrence of post-LT AKI between underweight and normal weight patients. The underweight patient group had significantly longer hospital stay compared with the normal weight patient group (P = 0.023). CONCLUSIONS: BMI classification was neither a positive nor negative predictor of postoperative AKI occurrence. However, patients with lower BMI had significantly longer hospital stay compared with their counterparts. Although our study was limited by its retrospective design, our observations suggest that lower BMI might play a role in post-LT AKI.
Acute Kidney Injury
;
Body Mass Index
;
Classification
;
Humans
;
Incidence
;
Intensive Care Units
;
Length of Stay
;
Liver Transplantation
;
Liver
;
Logistic Models
;
Mortality
;
Retrospective Studies
;
Thinness
5.Association between Health Risk Factors and Mortality over Initial 6 Year Period in Juam Cohort.
Sang Yong KIM ; Su Jin LEE ; Seok Joon SOHN ; Jin Su CHOI
Journal of Agricultural Medicine & Community Health 2007;32(1):13-26
OBJECTIVES: This study was conducted to investigate the association between health risk factors and mortality in Juam cohort. METHODS: The subjects were 1,447 males and 1,889 females who had been followed up for 68.5 months to 1 January 2001. Whether they were alive or not was confirmed by the mortality data of the National Statistical Office. A total of 289 persons among them died during the follow-up period. The Cox's proportional hazard regression model was used for survival analysis. RESULTS: Age, type of medical insurance, self cognitive health level, habit of alcohol drinking, smoking, exercise and BMI level were included in Cox's proportional hazard model by gender. The hazard ratio of age was 1.07(95% CI: 1.05-1.10) in men, 1.09(95% CI: 1.06-1.12) in women. The hazard ratio of medical aid(lower socioeconomic state) was 1.43(95% CI 1.02-2.19) in women. The hazard ratios of current alcohol drinking and current smoking were respectively 1.69(95% CI: 1.01-2.98), 1.52(95% CI: 1.02-2.28) in women. The hazard ratio of underweight was 1.56(95% CI 1.08-2.47) in men. The hazard ratios of underweight, normoweight, overweight, and obesity were respectively 1.63(95% CI: 1.02-2.67), 1.0(referent), 0.62(95% CI: 0.32-1.63), 1.27(95% CI: 0.65-3.06), which supported the U-shaped relationship between body mass index and mortality among the men over 65. CONCLUSIONS: The health risk factors increasing mortality were age, underweight in male, age, lower socioeconomic state, current alcohol drinking, current smoking in female. To evaluate long-term association between health risk factors and mortality, further studies need to be carried out.
Alcohol Drinking
;
Body Mass Index
;
Cohort Studies*
;
Female
;
Follow-Up Studies
;
Health Status
;
Humans
;
Insurance
;
Male
;
Mortality*
;
Obesity
;
Overweight
;
Proportional Hazards Models
;
Risk Factors*
;
Smoke
;
Smoking
;
Thinness
6.The Trends of Underweight in South Korean between 1998 and 2015
Kyung Jin LEE ; Juwon LIM ; Juhyun LEE ; Soshin KYE ; Taesil JIN ; Yungsang YOON ; Kwangeun AHN
Korean Journal of Family Practice 2019;9(2):190-195
BACKGROUND: Underweight is associated with increased mortality, relative to the normal weight category. The importance of managing underweight patients has not yet been recognized seriously in South Korea, and little information is available on the prevalence of underweight and its associated risk factors. This study aims to investigate changes in the prevalence of underweight by gender and age and analyze its trend.METHODS: Data were obtained from individuals aged >20 years, from the Korean National Health and Nutrition Examination Survey between 1995 and 2015. The subjects of this study included 134,613 adults (male, 61,152; female, 73,461). The prevalence of underweight was determined as defined by the Asia-Pacific Perspective, and socioeconomic factors associated with a predisposition to underweight were analyzed using the chi-squared test and multiple logistic regression analysis.RESULTS: Among Korean adults, the age-adjusted prevalence of underweight (body mass index < 18.5 kg/m²) was 3.1% in men and 6.3% in women. Overall, a U-shaped relationship was established between the prevalence of underweight by gender and age. There was no significant difference in socioeconomic factors related to the prevalence of underweight in men and women in their twenties. The prevalence of underweight in women aged 20–59 years showed an increasing trend (P for trends < 0.05).CONCLUSION: In individuals aged 20–29 years, the prevalence of being underweight was higher in women than in men. Recently, there has been an increasing trend in the prevalence of underweight young women of reproductive age. This requires national public health attention.
Adult
;
Body Mass Index
;
Female
;
Humans
;
Korea
;
Life Style
;
Logistic Models
;
Male
;
Mortality
;
Nutrition Surveys
;
Prevalence
;
Public Health
;
Risk Factors
;
Social Class
;
Socioeconomic Factors
;
Thinness
7.Preoperative Underweight Patients with Upper Tract Urothelial Carcinoma Survive Less after Radical Nephroureterectomy.
Ho Won KANG ; Hae Do JUNG ; Yun Sok HA ; Tae Hwan KIM ; Tae Gyun KWON ; Seok Soo BYUN ; Seok Joong YUN ; Wun Jae KIM ; Young Deuk CHOI
Journal of Korean Medical Science 2015;30(10):1483-1489
The prognostic impact of body mass index (BMI) in patients with upper tract urothelial carcinoma (UTUC) is an ongoing debate. Our study aimed to investigate the prognostic role of BMI in patients treated with radical nephroureterectomy (RNU) for UTUC from a multi-institutional Korean collaboration. We retrospectively reviewed data from 440 patients who underwent RNU for UTUC at four institutions in Korea. To avoid biasing the survival estimates, patients who had previous or concomitant muscle-invasive bladder tumors were excluded. BMI was categorized into approximate quartiles with the lowest quartile assigned to the reference group. Kaplan-Meier and multivariate Cox regression analyses were performed to assess the influence of BMI on survival. The lower quartile BMI group showed significantly increased overall mortality (OM) and cancer specific mortality (CSM) compared to the 25%-50% quartiles and upper quartile BMI groups. Kaplan-Meier estimates showed similar results. Based on multivariate Cox regression analysis, preoperative BMI as a continuous variable was an independent predictor for OM and CSM. In conclusion, preoperative underweight patients with UTUC in Korea survive less after RNU. Preoperative BMI may provide additional prognostic information to establish risk factors.
Aged
;
Asian Continental Ancestry Group
;
Body Mass Index
;
Carcinoma, Transitional Cell/*mortality
;
Cystectomy/*mortality
;
Female
;
Humans
;
Kidney Pelvis/surgery
;
Male
;
Nephrectomy/*mortality
;
Republic of Korea
;
Retrospective Studies
;
Thinness/*mortality
;
Ureter/surgery
;
Urinary Bladder/surgery
;
Urologic Neoplasms/*mortality/pathology/*surgery
;
Urothelium/pathology/*surgery
8.Sociodemographic Characteristics of Underweight Korean Adults: Korea National Health and Nutrition Examination Survey, 2007-2010.
Sung Il PARK ; Young Gyu CHO ; Jae Heon KANG ; Hyun Ah PARK ; Kyoung Woo KIM ; Yang Im HUR ; Hye Jin KANG
Korean Journal of Family Medicine 2013;34(6):385-392
BACKGROUND: Underweight is associated with increased risk of mortality and morbidity. It is reported that the prevalence of underweight is increasing among Korean young women. However, there have been few studies on sociodemographic factors related to being underweight. This study was conducted to elucidate the sociodemographic characteristics of Korean underweight adults. METHODS: This study is a cross-sectional study of 7,776 adults aged 25 to 69 years using data from the Korea National Health and Nutrition Examination Survey, 2007-2010. Study subjects were composed of underweight and normal-weight adults excluding overweight adults. Body mass index was calculated from measured height and weight. Health behaviors such as smoking, drinking, and physical activity were surveyed through self-administered questionnaires, and socioeconomic status, marital status, and history of morbidity were surveyed through face-to-face interviews. RESULTS: Women had a higher frequency of underweight (10.4% vs. 7.0%, P < 0.001) than men. Among men, current smoking (odds ratio [OR], 1.62) and past history of cancer (OR, 2.55) were independently related to underweight. Among women, young age (OR, 2.06), former smoking (OR, 1.69), and being unmarried (OR, 1.56) were identified as independently related factors of underweight. In addition, among both men and women, alcohol drinking (men OR, 0.57; women OR, 0.77) and past history of chronic diseases (men OR, 0.55; women OR, 0.43) were independently related to a lower frequency of underweight. CONCLUSION: We showed that various sociodemographic factors were associated with underweight. It was ascertained that there were differences in the sociodemographic factors related to underweight between Korean men and women.
Adult*
;
Alcohol Drinking
;
Body Mass Index
;
Chronic Disease
;
Cross-Sectional Studies
;
Demography
;
Drinking
;
Female
;
Health Behavior
;
Humans
;
Korea*
;
Male
;
Marital Status
;
Mortality
;
Motor Activity
;
Nutrition Surveys*
;
Overweight
;
Prevalence
;
Single Person
;
Smoke
;
Smoking
;
Social Class
;
Sociology
;
Thinness*
;
Surveys and Questionnaires
9.HIV/AIDS related mortality in southern Shanxi province and its risk factors.
Shaoping NING ; Zidong XUE ; Jun WEI ; Email: 0359-2052102@163.COM. ; Shengcai MU ; Yajuan XU ; Shaoxian JIA ; Chao QIU ; Jianqing XU
Chinese Journal of Epidemiology 2015;36(3):245-249
OBJECTIVETo explore factors influencing mortality rate of HIV/AIDS and to improve the effectiveness of antiretroviral therapy (ART).
METHODSBy means of retrospective cohort study and the AIDS control information system, HIV/AIDS case reports and antiviral treatment information of 4 cities in southern Shanxi province up to end of December 2012 were selected, to calculate the mortality rate and treatment coverage based on further data collected, along with analysis using the Cox proportional hazards survival regression.
RESULTS4 040 cases confirmed of HIV/AIDS were included in this study. The average age was (36.0 ± 12.9) years, with 65.3% being male, 56.5% being married, 73.5% having junior high school education or lower, 58.4% being peasants, 54.3% with sexually transmitted infection (40.1% were heterosexual, 14.2% were homosexual), and 38.9% were infected via blood transmission (20.2% were former plasma donors, 16.2% blood transfusion or products recipients, 2.4% were injection drug users). Overall mortality decreased from 40.2 per 100 person/year in 2004 to 6.3 per 100 person/year in 2012, with treatment coverage concomitantly increasing from almost 14.8% to 63.4%. Cox proportional hazards survival regression was used on 4 040 qualified cases, demonstrating the top mortality risk factor was without antiretroviral therapy (RR = 14.9, 95% CI: 12.7-17.4). Cox proportional hazards survival regression was made on 1 938 cases of antiviral treatment, demonstrating that the mortality risk of underweight or obese before treatment was higher than those of normal and overweight cases (RR = 2.7, 95% CI: 1.6-4.5), and the mortality of those having a CD4(+) T-lymphocyte count ≤ 50 cells per µl before treatment was more than 50 cases (RR = 2.6, 95% CI: 1.5-4.5); Cox proportional hazards survival regression was made on 2 102 cases of untreated cases, demonstrating the mortality risk of those initially diagnosed as AIDS was higher than those initially diagnosed as HIV (RR = 3.4, 95% CI: 2.9-4.0).
CONCLUSIONThe ART could successfully make lower HIV/AIDS mortality rate, indicating effective ART can further decrease mortality.
Acquired Immunodeficiency Syndrome ; mortality ; Adult ; Anti-HIV Agents ; Antiviral Agents ; Blood Donors ; Blood Transfusion ; Cities ; Cohort Studies ; Communicable Diseases ; Female ; Heterosexuality ; Homosexuality ; Humans ; Male ; Marriage ; Middle Aged ; Obesity ; Overweight ; Retrospective Studies ; Risk ; Risk Factors ; Thinness ; Young Adult
10.Differential Signature of Obesity in the Relationship with Acute Kidney Injury and Mortality after Coronary Artery Bypass Grafting.
Hongran MOON ; Yeonhee LEE ; Sejoong KIM ; Dong Ki KIM ; Ho Jun CHIN ; Kwon Wook JOO ; Yon Su KIM ; Ki Young NA ; Seung Seok HAN
Journal of Korean Medical Science 2018;33(48):e312-
BACKGROUND: Obesity is related to several comorbidities and mortality, but its relationship with acute kidney injury (AKI) and long-term mortality remain undetermined in patients undergoing coronary artery bypass grafting. METHODS: Data from 3,018 patients (age ≥ 18 years) who underwent coronary artery bypass graft surgery from two tertiary referral centers were retrospectively reviewed between 2004 and 2015. Obesity was defined using the body mass index, according to the World Health Organization's recommendation. The odds and hazard ratios in post-surgical, AKI, and all-cause mortality were calculated after adjustment for multiple covariates. Patients were followed for 90 ± 40.9 months (maximum: 13 years). RESULTS: Among the cohort, 37.4%, 2.4%, 21.1%, 35.1%, and 4.0% of patients were classified as normal weight, underweight, overweight-at-risk, obese I, and obese II, respectively. Post-surgical AKI developed in 799 patients (26.5%). Patients in the obese groups (overweight-at-risk to obese II) had a higher risk of AKI than did those in the normal-weight group. During the follow-up period, 787 patients (26.1%) died. Underweight patients had a higher risk of mortality than did normal-weight patients, whereas overweight-at-risk, obese I, and obese II patients showed better survival rates. CONCLUSION: After coronary artery bypass graft surgery, obese patients encountered a high risk of AKI, and underweight patients exhibited a low chance of survival. Awareness of both obese and underweight statuses should be raised in these patients.
Acute Kidney Injury*
;
Body Mass Index
;
Cohort Studies
;
Comorbidity
;
Coronary Artery Bypass*
;
Coronary Vessels*
;
Follow-Up Studies
;
Global Health
;
Humans
;
Mortality*
;
Obesity*
;
Retrospective Studies
;
Survival Rate
;
Tertiary Care Centers
;
Thinness
;
Transplants