1.Cerebral Air Embolism Observed on Susceptibility-Weighted Magnetic Resonance Imaging
Sukmin LEE ; Myungjun LEE ; Gha Hyun LEE
Journal of the Korean Neurological Association 2019;37(3):314-315
No abstract available.
Embolism, Air
;
Magnetic Resonance Imaging
2.Analysis of the distribution and association of periodontal disease-causing bacteria in saliva according to the severity of periodontitis in the elderly in some communities
Sukmin LEE ; Yun-Sook JUNG ; Keun-Bae SONG ; Youn-Hee CHOI
Journal of Korean Academy of Oral Health 2020;44(4):240-245
Objectives:
Periodontitis-causing microorganisms and their virulence factors can provoke periodontal destruction in the host. This study was aimed at evaluating the distribution of periodontal disease and its relationship with 11 periodontal disease-causing bacteria in the elderly.
Methods:
Individuals aged 60 years or above were recruited after obtaining informed consent. The clinical attachment loss was measured at studied sites to determine the severity of periodontitis. Further, the stimulated salivary samples were collected and analyzed with real-time polymerase chain reaction to detect 11 strains of periodontitis-causing bacteria.
Results:
The severity of periodontal disease was proportional to the amount of periodontal diseasecausing bacteria. Porphyromonas gingivalis in the red complex increased from 6.60±5.50 in stage 1 to 5.36±5.39 in stage 2 and 7.19±5.56 in stage 3 (P=0.003). Tannerella forsythia increased from 6.54±4.60 in stage 1 to 7.44±4.56 in stage 2 and 8.49±4.70 in stage 3 (P=0.007).
Conclusions
The presence of complex bacterial groups and their number of strains were high in participants with severe periodontitis. Controlling periodontitis-related bacteria is important for periodontal health in the elderly.
3.Geriatric Nutritional Risk Index as a Possible Predictor of Decline in Kidney Function in Older People
Sukmin YOON ; Nak Gyeong KO ; Yu-Ji LEE
Annals of Geriatric Medicine and Research 2024;28(2):164-170
Background:
The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals.
Methods:
This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the 5-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively.
Results:
The analysis included a total of 1,599 participants (median age, 63 years; interquartile range [IQR], 61–67; 54% males). The mean±standard deviation of GNRI was 114±7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper 5-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of −0.50 (−0.86, −0.14), −0.29 (−0.63, 0.05), and −0.19 (−0.53, 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 years (IQR, 4.6–12.4). During this period, we identified 108 deaths (7.8 per 1,000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio of 2.20; 95% CI 1.23, 3.95).
Conclusion
Nutritional status, as evaluated using the GNRI, was associated with 5-year changes in kidney function and all-cause mortality in older individuals.
4.Geriatric Nutritional Risk Index as a Possible Predictor of Decline in Kidney Function in Older People
Sukmin YOON ; Nak Gyeong KO ; Yu-Ji LEE
Annals of Geriatric Medicine and Research 2024;28(2):164-170
Background:
The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals.
Methods:
This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the 5-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively.
Results:
The analysis included a total of 1,599 participants (median age, 63 years; interquartile range [IQR], 61–67; 54% males). The mean±standard deviation of GNRI was 114±7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper 5-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of −0.50 (−0.86, −0.14), −0.29 (−0.63, 0.05), and −0.19 (−0.53, 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 years (IQR, 4.6–12.4). During this period, we identified 108 deaths (7.8 per 1,000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio of 2.20; 95% CI 1.23, 3.95).
Conclusion
Nutritional status, as evaluated using the GNRI, was associated with 5-year changes in kidney function and all-cause mortality in older individuals.
5.Geriatric Nutritional Risk Index as a Possible Predictor of Decline in Kidney Function in Older People
Sukmin YOON ; Nak Gyeong KO ; Yu-Ji LEE
Annals of Geriatric Medicine and Research 2024;28(2):164-170
Background:
The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals.
Methods:
This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the 5-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively.
Results:
The analysis included a total of 1,599 participants (median age, 63 years; interquartile range [IQR], 61–67; 54% males). The mean±standard deviation of GNRI was 114±7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper 5-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of −0.50 (−0.86, −0.14), −0.29 (−0.63, 0.05), and −0.19 (−0.53, 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 years (IQR, 4.6–12.4). During this period, we identified 108 deaths (7.8 per 1,000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio of 2.20; 95% CI 1.23, 3.95).
Conclusion
Nutritional status, as evaluated using the GNRI, was associated with 5-year changes in kidney function and all-cause mortality in older individuals.
6.Geriatric Nutritional Risk Index as a Possible Predictor of Decline in Kidney Function in Older People
Sukmin YOON ; Nak Gyeong KO ; Yu-Ji LEE
Annals of Geriatric Medicine and Research 2024;28(2):164-170
Background:
The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals.
Methods:
This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the 5-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively.
Results:
The analysis included a total of 1,599 participants (median age, 63 years; interquartile range [IQR], 61–67; 54% males). The mean±standard deviation of GNRI was 114±7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper 5-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of −0.50 (−0.86, −0.14), −0.29 (−0.63, 0.05), and −0.19 (−0.53, 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 years (IQR, 4.6–12.4). During this period, we identified 108 deaths (7.8 per 1,000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio of 2.20; 95% CI 1.23, 3.95).
Conclusion
Nutritional status, as evaluated using the GNRI, was associated with 5-year changes in kidney function and all-cause mortality in older individuals.
7.Comparison of Neuropathological Characteristics between Multiple System Atrophy Cerebellar Type and Parkinsonian Type
Eun-Joo KIM ; Sukmin LEE ; Sung-Hwan JANG ; Myung Jun LEE ; Jae-Hyeok LEE ; Jin-Hong SHIN ; Young Min LEE ; Kyoungjune PAK ; Na-Yeon JUNG ; Jin A YOON ; Jun Kyeung KO ; Jae Meen LEE ; Kangyoon LEE ; Chungsu HWANG ; Jae Woo AHN ; Suk SUNG ; Kyung-Un CHOI ; Gi Yeong HUH
Journal of the Korean Neurological Association 2020;38(3):194-203
Background:
Multiple system atrophy (MSA) is a sporadic neurodegenerative disease characterized by various combinations of parkinsonism, cerebellar ataxia, autonomic dysfunction and pyramidal signs. Two clinical subtypes are recognized: MSA with predominant cerebellar ataxia (MSA-C) and MSA with predominant parkinsonism (MSA-P). The aim of this study was to compare pathological features between MSA-C and MSA-P.
Methods:
Two autopsy confirmed cases with MSA were included from the Pusan National University Hospital Brain Bank. Case 1 had been clinically diagnosed as MSA-C and case 2 as MSA-P. The severity of neuronal loss and gliosis as well as the glial and neuronal cytoplasmic inclusions were semiquantitatively assessed in both striatonigral and olivopontocerebellar regions. Based on the grading system, pathological phenotypes of MSA were classified as striatonigral degeneration (SND) predominant (SND type), olivopontocerebellar degeneration (OPC) predominant (OPC type), or equivalent SND and OPC pathology (SND=OPC type).
Results:
Both cases showed widespread and abundant α-synuclein positive glial cytoplasmic inclusions in association with neurodegenerative changes in striatonigral or olivopontocerebellar structures, leading to the primary pathological diagnosis of MSA. Primary age-related tauopathy was incidentally found but Lewy bodies were not in both cases. The pathological phenotypes of MSA were MSA-OPC type in case 1 and MSA-SND=OPC type in case 2.
Conclusions
Our data suggest that clinical phenotypes of MSA reflect the pathological characteristics.