1.Associated factors of osteoporosis and the impact of osteoporosis on all-cause mortality in incident hemodialysis older patients
Seunghye LEE ; Yoomee KANG ; Yu Ah HONG ; Sung Joon SHIN ; Soon Hyo KWON ; Sungjin CHUNG ; Young Youl HYUN ; Sang Heon SONG ; Jae Won YANG ; Won Min HWANG ; Jang-Hee CHO ; Kyung Don YOO ; In O SUN ; Gang-Jee KO ; Byung Chul YU ; Hyunsuk KIM ; Woo Yeong PARK ; Tae Won LEE ; Dong Jun PARK ; Eunjin BAE ;
Kidney Research and Clinical Practice 2026;45(1):110-119
Background:
With the aging population and advancements in medical care worldwide, the number of older patients with end-stage kidney disease continues to rise. This study aimed to identify factors associated with osteoporosis and osteopenia in older patients undergoing incident hemodialysis and assess their impact on mortality.
Methods:
We analyzed a large multicenter retrospective cohort of patients aged ≥70 years undergoing incident hemodialysis to identify factors associated with osteoporosis using logistic regression analysis and to assess the association of death with osteoporosis and osteopenia using Cox multivariable analysis.
Results:
Among 710 patients, 39.0% and 19.6% had osteoporosis and osteopenia, respectively. Osteoporosis was significantly associated with female sex, a history of fractures, and the absence of phosphate binder use. During a median follow-up of 36.8 months, 348 participants (58.8%) died. Mortality rates were the highest in the osteoporosis group (79.8%), followed by the osteopenia (77.2%) and normal bone mineral density (BMD) groups (35.2%). Cox regression analysis revealed that even after adjusting for covariates, the osteoporosis group was significantly associated with a higher mortality risk than the normal BMD group. Osteoporosis at the start of hemodialysis was significantly associated with higher mortality.
Conclusion
We should consider the importance of bone health in patients undergoing incident hemodialysis and pay attention to the use of phosphate binders and fracture prevention.
2.Impact of obesity on renal function in elderly Korean adults: a national population-based cohort study
Jihyun YANG ; Hui Seung LEE ; Chi-Yeon LIM ; Hyunsuk KIM ; Sungjin CHUNG ; Soon Hyo KWON ; Jang-Hee CHO ; Kyung Don YOO ; Woo Yeong PARK ; In O SUN ; Byung Chul YU ; Gang-Jee KO ; Jae Won YANG ; Won Min HWANG ; Sang Heon SONG ; Sung Joon SHIN ; Yu Ah HONG ; Eunjin BAE ; Young Youl HYUN
Kidney Research and Clinical Practice 2026;45(1):65-76
Background:
Obesity is a well-known risk factor for chronic kidney disease and its progression. However, the impact of obesity on the renal function of the elderly population is uncertain. We investigated the association between obesity and renal outcomes in the elderly.
Methods:
We analyzed 130,504 participants from the Korean National Health Insurance Service-Senior cohort. Obesity was classified according to body mass index (BMI), sex-specific waist circumference (WC), and the presence of metabolic syndrome. The primary outcome was renal function decline, defined as a decline in the estimated glomerular filtration rate (eGFR) of at least 50% from baseline or new-onset end-stage renal disease.
Results:
During a follow-up period of 559,531.1 person-years (median, 4.3 years), 2,486 participants (19.0%; incidence rate of 4.44 per 1,000 person-years) showed renal function decline. A multivariate Cox proportional hazards model revealed that BMI/WC was not associated with renal function decline. However, the group with metabolic syndrome had a significantly increased risk of renal function decline compared to the group without metabolic syndrome (adjusted hazard ratio [HR], 1.24; 95% confidence interval [CI], 1.13–1.36). Compared with the non-metabolic syndrome group, the adjusted HRs (95% CI) for participants with one through five components were 0.96 (0.84–1.11), 1.10 (0.96–1.27), 1.24 (1.06–1.45), 1.37 (1.12–1.66), and 1.99 (1.42–2.79), respectively (p for trend < 0.001).
Conclusion
In elderly Korean adults, metabolic syndrome and the number of its components were associated with a higher risk of renal function decline, but BMI or WC was not significant.
3.Prediction model for 6-month mortality in incident older hemodialysis patients in South Korea
Woo Yeong PARK ; Eunjin BAE ; Hui-Seung LEE ; Chi-Yeon LIM ; Jang-Hee CHO ; Byung Chul YU ; Miyeun HAN ; Sang Heon SONG ; Gang-Jee KO ; Jae Won YANG ; Sungjin CHUNG ; Yu Ah HONG ; Young Youl HYUN ; In O SUN ; Hyunsuk KIM ; Won Min HWANG ; Sung Joon SHIN ; Soon Hyo KWON ; Kyung Don YOO ;
Kidney Research and Clinical Practice 2025;44(4):664-678
Early mortality following hemodialysis initiation hinders survival improvement in older patients. This study aimed to develop a clinical risk model for predicting 6-month mortality after dialysis initiation in older Korean hemodialysis patients. Methods: We analyzed data from incident hemodialysis patients aged >70 years from the Korean Society of Geriatric Nephrology (KSGN) database. A prediction model was developed using multivariate logistic regression analysis and externally validated with independent datasets. Results: Among 1,751 incident hemodialysis patients, the 6-month mortality rate was 15.5%. Using multivariate logistic analysis, we constructed the KSGN score as an independent risk factor for 6-month mortality, and its components and score are as follows: old age at dialysis initiation (≥85 years, score 2); hypertension and renovascular disease as a primary etiology of end-stage kidney disease (ESKD) (score 1); malignancy history (yes, score 1); low serum albumin (<3.5 g/dL, score 1); hypertension treatment (yes, score –1); prepared vascular access on maintenance dialysis (arteriovenous fistula/arteriovenous graft, score –3). In the development cohort, the area under the curve (AUC) for the KSGN score was significantly higher than the Alberta Wick’s score (0.707 vs. 0.683, p = 0.001). In the validation cohort, the KSGN score’s performance was comparable to existing models. Conclusion: The KSGN score may be a valuable tool for predicting early mortality after dialysis initiation in older patients with ESKD, aiding in decision-making and management regarding dialysis initiation.
4.Successful diagnosis and treatment of recurrent atypical hemolytic uremic syndrome posttransplantation caused by the heterozygous deletion of CFH in a patient with end-stage kidney disease of uncertain etiology
Haeun LEE ; Hoon Seok KIM ; Hanbi LEE ; Sang Hun EUM ; In O SUN ; Jaehoon SHIN ; Yeong Jin CHOI ; Chul Woo YANG ; Myungshin KIM ; Byung Ha CHUNG
Kidney Research and Clinical Practice 2024;43(1):125-129
6.Phenotypes of Severe Cutaneous Adverse Reactions Caused by Nonsteroidal Anti-inflammatory Drugs
Suh Young LEE ; Young Hee NAM ; Young Il KOH ; Sae Hoon KIM ; Sujeong KIM ; Hye Ryun KANG ; Min Hye KIM ; Jun Gyu LEE ; Jung Won PARK ; Hye Kyung PARK ; Hyen O LA ; Mi Yeong KIM ; Seong Ju PARK ; Yong Eun KWON ; Jae Woo JUNG ; Sang Hyon KIM ; Cheol Woo KIM ; Min Seok YANG ; Min Gyu KANG ; Jin Yong LEE ; Joo Hee KIM ; Sang Heon KIM ; Gyu Young HUR ; Young Koo JEE ; Hyun Jung JIN ; Chan Sun PARK ; Yi Yeong JEONG ; Young Min YE
Allergy, Asthma & Immunology Research 2019;11(2):212-221
PURPOSE: Nonsteroidal anti-inflammatory drugs (NSAIDs) are common cause of severe cutaneous adverse reactions (SCARs). The present study aimed to investigate the characteristics of SCARs induced by NSAIDs in the Korean SCAR registry. METHODS: A retrospective survey of NSAID-induced SCARs recorded between 2010 and 2015 at 27 university hospitals in Korea was conducted. Clinical phenotypes of SCARs were classified into Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), SJS-TEN overlap syndrome and drug reaction with eosinophilia and systemic symptoms (DRESS). Causative NSAIDs were classified into 7 groups according to their chemical properties: acetaminophen, and propionic, acetic, salicylic, fenamic and enolic acids. RESULTS: A total of 170 SCARs, consisting of 85 SJS, 32 TEN, 17 SJS-TEN overlap syndrome and 36 DRESS reactions, were induced by NSAIDs: propionic acids (n=68), acetaminophen (n=38), acetic acids (n=23), salicylic acids (n=16), coxibs (n=8), fenamic acids (n=7), enolic acids (n=5) and unclassified (n=5). Acetic acids (22%) and coxibs (14%) accounted for higher portions of DRESS than other SCARs. The phenotypes of SCARs induced by both propionic and salicylic acids were similar (SJS, TEN and DRESS, in order). Acetaminophen was primarily associated with SJS (27%) and was less involved in TEN (10%). DRESS occurred more readily among subjects experiencing coxib-induced SCARs than other NSAID-induced SCARs (62.5% vs. 19.7%, P = 0.013). The mean time to symptom onset was longer in DRESS than in SJS or TEN (19.1 ± 4.1 vs. 6.8 ±1.5 vs. 12.1 ± 3.8 days). SCARs caused by propionic salicylic acids showed longer latency, whereas acetaminophen- and acetic acid-induced SCARs appeared within shorter intervals. CONCLUSIONS: The present study indicates that the phenotypes of SCARs may differ according to the chemical classifications of NSAIDs. To establish the mechanisms and incidences of NSAID-induced SCARs, further prospective studies are needed.
Acetaminophen
;
Acetates
;
Acetic Acid
;
Anti-Inflammatory Agents, Non-Steroidal
;
Cicatrix
;
Classification
;
Cyclooxygenase 2 Inhibitors
;
Diethylpropion
;
Drug Hypersensitivity
;
Drug Hypersensitivity Syndrome
;
Hospitals, University
;
Incidence
;
Korea
;
Phenotype
;
Propionates
;
Prospective Studies
;
Retrospective Studies
;
Salicylates
;
Salicylic Acid
;
Stevens-Johnson Syndrome
7.Adverse Events and Risk Factors Associated with Chloral Hydrate Sedation for Brain Magnetic Resonance Imaging in the Neonatal Intensive Care Unit
Byeong Sub PARK ; Yeong Myong YOO ; O Kyu NOH ; Moon Sung PARK ; Jang Hoon LEE
Neonatal Medicine 2019;26(2):85-90
PURPOSE: This study investigated the incidence of adverse events (AEs) and risk factors associated with sedation using chloral hydrate (CH) for brain magnetic resonance imaging (MRI) in the neonatal intensive care unit (NICU). METHODS: This was a retrospective study of infants who received CH for brain MRI in the NICU. Among the enrolled infants (n=143), 12.6% (n=18) were included in the AE group and 87.4% (n=125) were in the non-adverse event group (NAE). RESULTS: Gestational age (GA) at birth and corrected GA at sedation were 35+0±7+2 and 39+5±3+1 respectively. The rate of AEs was 12.6%, included oxygen desaturation (5.6%), aspiration (4.9%), paradoxical agitation (0.7%), tachycardia or bradycardia (0.7%), and arrest (0.7%). In univariate analysis, the AE group was younger in corrected GA at sedation than the NAE group (37+2 [range, 36+0 to 40+0] vs. 40+1 [range, 38+2 to 41+4], P=0.015). There was no significant difference in CH dosage (50.0 [range, 50.0 to 50.0] vs. 50.0 [range, 50.0 to 50.0], P=0.092), cardiopulmonary (33.3% [n=6] vs. 17.6% [n= 22], P=0.209) and central nervous system (61.1% [n=11] vs. 65.6% [n=82], P=0.054) morbidity. In multivariate analysis, CH dosage was the only significant risk factor for AEs associated with sedation (odds ratio, 1.04; 95% confidence interval, 1.01 to 1.07; P=0.0186). CONCLUSION: AEs associated with sedation using CH are not uncommon and should be considered when using high dose CH for diagnostic testing in the NICU.
Bradycardia
;
Brain
;
Central Nervous System
;
Chloral Hydrate
;
Diagnostic Tests, Routine
;
Dihydroergotamine
;
Gestational Age
;
Humans
;
Incidence
;
Infant
;
Infant, Newborn
;
Intensive Care, Neonatal
;
Magnetic Resonance Imaging
;
Multivariate Analysis
;
Oxygen
;
Parturition
;
Retrospective Studies
;
Risk Factors
;
Tachycardia
8.Severe Cutaneous Adverse Reactions to Antiepileptic Drugs: A Nationwide Registry-Based Study in Korea
Chan Sun PARK ; Dong Yoon KANG ; Min Gyu KANG ; Sujeong KIM ; Young Min YE ; Sae Hoon KIM ; Hye Kyung PARK ; Jung Won PARK ; Young Hee NAM ; Min Suk YANG ; Young Koo JEE ; Jae Woo JUNG ; Sang Hyon KIM ; Cheol Woo KIM ; Mi Yeong KIM ; Joo Hee KIM ; Jaechun LEE ; Jun Gyu LEE ; Sang Hyun KIM ; Hyen O LA ; Min Hye KIM ; Seoung Ju PARK ; Young Il KOH ; Sang Min LEE ; Yong Eun KWON ; Hyun Jung JIN ; Hee Kyoo KIM ; Hye Ryun KANG ; Jeong Hee CHOI ;
Allergy, Asthma & Immunology Research 2019;11(5):709-722
PURPOSE: Severe cutaneous adverse reactions (SCARs), including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), and drug reaction with eosinophilia and systemic symptoms (DRESS) to antiepileptic drug (AED), are rare, but result in significant morbidity and mortality. We investigated the major culprit drugs, clinical characteristics, and clinical course and outcomes of AED-induced SCARs using a nationwide registry in Korea. METHODS: A total of 161 patients with AED-induced SCARs from 28 referral hospitals were analyzed. The causative AEDs, clinical characteristics, organ involvements, details of treatment, and outcomes were evaluated. We compared the clinical and laboratory parameters between SJS/TEN and DRESS according to the leading causative drugs. We further determined risk factors for prolonged hospitalization in AED-induced SCARs. RESULTS: Carbamazepine and lamotrigine were the most common culprit drugs causing SCARs. Valproic acid and levetiracetam also emerged as the major causative agents. The disease duration and hospital stay in carbamazepine-induced SJS/TEN were shorter than those in other AEDs (P< 0.05, respectively). In younger patients, lamotrigine caused higher incidences of DRESS than other drugs (P= 0.045). Carbamazepine, the most common culprit drug for SCARs, was associated with a favorable outcome related with prolonged hospitalization in SJS (odds ratio, 0.12; 95% confidence interval, 0.02-0.63, P= 0.12), and thrombocytopenia was found to be a risk factor for prolonged hospitalization in DRESS. CONCLUSION: This was the first large-scale epidemiological study of AED-induced SCARs in Korea. Valproic acid and levetiracetam were the significant emerging AEDs causing SCARs in addition to the well-known offending AEDs such as carbamazepine and lamotrigine. Carbamazepine was associated with reduced hospitalization, but thrombocytopenia was a risk factor for prolonged hospitalization. Our results suggest that the clinical characteristics and clinical courses of AED-induced SCARs might vary according to the individual AEDs.
Anticonvulsants
;
Carbamazepine
;
Cicatrix
;
Drug Hypersensitivity Syndrome
;
Epidemiologic Studies
;
Hospitalization
;
Humans
;
Incidence
;
Korea
;
Length of Stay
;
Mortality
;
Referral and Consultation
;
Risk Factors
;
Stevens-Johnson Syndrome
;
Thrombocytopenia
;
Valproic Acid
9.Microscopic polyangiitis with crescentic glomerulonephritis initially presenting as acute pancreatitis.
A Young CHO ; Byeong Gwan KIM ; Sang Sun KIM ; Seong Hee LEE ; Hong Shik SHIN ; Yeong Jin CHOI ; In O SUN
The Korean Journal of Internal Medicine 2016;31(2):403-405
No abstract available.
Acute Disease
;
Biopsy
;
Fatal Outcome
;
Female
;
Fluorescent Antibody Technique
;
Glomerulonephritis/*complications/diagnosis/drug therapy/immunology
;
Humans
;
Immunosuppressive Agents/therapeutic use
;
Microscopic Polyangiitis/*complications/diagnosis/drug therapy/immunology
;
Middle Aged
;
Pancreatitis/diagnosis/drug therapy/*etiology/immunology
;
Treatment Outcome
10.Acute interstitial nephritis induced by Solanum nigrum.
Sung Sik OH ; Myung Woo CHOI ; Mi Rim CHOI ; Jong Hwa LEE ; Hyun Ju YANG ; Yeong Jin CHOI ; A Young CHO ; Kwang Young LEE ; In O SUN
Kidney Research and Clinical Practice 2016;35(4):252-254
Acute interstitial nephritis (AIN) is an important cause of reversible acute kidney injury and pathologically characterized by inflammatory infiltrate in the renal interstitium. Solanum nigrum (S. nigrum) is a medicinal plant member of the Solanaceae family. Although S. nigrum has been traditionally used to treat various ailments such as pain, inflammation, and fever, it has also been reported to have a toxic effect, resulting in anticholinergic symptoms. However, there have been no reports of AIN caused by S. nigrum. Here, we report the first case of biopsy-confirmed AIN after ingestion of S. nigrum. The patient was successfully treated using corticosteroid therapy.
Acute Kidney Injury
;
Eating
;
Fever
;
Humans
;
Inflammation
;
Nephritis, Interstitial*
;
Plants, Medicinal
;
Solanaceae
;
Solanum nigrum*
;
Solanum*

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