• 한국산학기술학회논문지
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• 제19권11호
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• pp.126-136
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• 2018

본 연구는 머신러닝을 활용하여 급성 뇌졸중 퇴원 환자의 중증도 보정 사망 예측 모형 개발을 목적으로 시행하였다. 전국 단위의 퇴원손상심층조사 2006~2015년 자료 중 한국표준질병사인분류(Korean standard classification of disease-KCD 7)에 따라 뇌졸중 코드 I60-I63에 해당하는 대상자를 추출하여 분석하였다. 동반질환 중증도 보정 도구로는 Charlson comorbidity index(CCI), Elixhauser comorbidity index(ECI), Clinical classification software(CCS)의 3가지 도구를 사용하였고 중증도 보정 모형 예측 개발은 로지스틱회귀분석, 의사결정나무, 신경망, 서포트 벡터 머신 기법을 활용하여 비교해 보았다. 뇌졸중 환자의 동반질환으로는 ECI에서는 합병증을 동반하지 않은 고혈압(hypertension, uncomplicated)이 43.8%로, CCS에서는 본태성고혈압(essential hypertension)이 43.9%로 다른 질환에 비해 가장 월등하게 높은 것으로 나타났다. 동반질환 중중도 보정 도구를 비교해 본 결과 CCI, ECI, CCS 중 CCS가 가장 높은 AUC값으로 분석되어 가장 우수한 중증도 보정 도구인 것으로 확인되었다. 또한 CCS, 주진단, 성, 연령, 입원경로, 수술유무 변수를 포함한 중증도 보정 모형 개발 AUC값은 로지스틱 회귀분석의 경우 0.808, 의사결정나무 0.785, 신경망 0.809, 서포트 벡터 머신 0.830로 분석되어 가장 우수한 예측력을 보인 것은 서포트 벡터머신 기법인 것으로 최종 확인되었고 이러한 결과는 추후 보건의료정책 수립에 활용될 수 있을 것이다.

• Perspectives in Nursing Science
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• 제10권1호
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• pp.52-64
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• 2013

Purpose: The purpose of this study was to explore the utilization of health care of patients with lung cancer in Korea and identify determinants of these patients' health care utilization. Methods: This was a descriptive analytical study. The national medical fees claims data of patients with lung cancer were used. Using SPSS Statistics 20, the ${\chi}^2$-test and logistic regression were performed to determine the factors influencing health care utilization. Results: There were significant differences by sex, age, disease type, stage, comorbidity index, region of institutions, and type of institutions in the utilization of surgical procedures; by age, disease type, stage, comorbidity index, region of institutions, and type of institutions in the utilization of chemotherapy; and by age, stage, comorbidity index, region of institutions, and type of institutions in the utilization of radiotherapy. Conclusion: The findings of this study suggest that democratic and clinical characteristics of patients as well as institutional characteristics affect health care utilization of patients with lung cancer. Additional research is needed to determine the factors influencing health care utilization of patients with lung cancer.

• 디지털융복합연구
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• 제17권2호
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• pp.217-230
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• 2019

본 연구는 기존 동반질환을 이용한 중증도 보정 방법의 제한점을 보완하기 위해 급성심근경색증 환자의 맞춤형 중증도 보정방법을 개발하고, 이의 타당성을 평가하기 위해 수행되었다. 이를 위하여 질병관리본부에서 2006년부터 2015년까지 10년간 수집한 퇴원손상심층조사 자료 중 주진단이 급성심근경색증인 한국표준질병사인분류(KCD-7) 코드 I20.0~I20.9의 대상자를 추출하였고, 동반질환 중증도 보정 도구로는 기존 활용되고 있는 CCI(Charlson comorbidity index), ECI(Elixhauser comorbidity index)와 새로이 제안하는 CCS(Clinical Classification Software)를 사용하였다. 이에 대한 중증도 보정 사망예측모형 개발을 위하여 머신러닝 기법인 로지스틱 회귀분석, 의사결정나무, 신경망, 서포트 벡터 머신기법을 활용하여 비교하였고 각각의 AUC(Area Under Curve)를 이용하여 개발된 모형을 평가하였다. 이를 평가한 결과 중증도 보정도구로는 CCS 가 가장 우수한 것으로 나타났으며, 머신러닝 기법 중에서는 서포트 벡터 머신을 이용한 모형의 예측력이 가장 우수한 것으로 확인되었다. 이에 향후 의료서비스 결과평가 등 중증도 보정을 위한 연구에서는 본 연구에서 제시한 맞춤형 중증도 보정방법과 머신러닝 기법을 활용하도록 하는 것을 제안한다.

• 정신신체의학
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• 제24권1호
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• pp.74-82
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• 2016

연구목적 자살시도자는 일반적인 경우에 비해 의사결정 능력이 떨어지며, 다시 자살을 시도할 위험성이 높기 때문에 재시도 전에 정신건강의학과 치료로 연계하는 것이 중요하다. 특히 신체적 질병이 있는 사람은 자살시도를 할 확률이 높고, 사망률 역시 높아진다. 이 연구는 자살시도자의 특성을 조사하고, 자살시도 후 응급실에 방문하여 정신건강의학과 치료를 받기로 결정하는 데 신체적 질병이 어떤 영향을 주는지 분석하였다. 방 법 2012년 1월부터 12월까지 경기도의 일 종합병원 응급실에 내원한 132명의 자살시도자를 대상으로 하였다. 환자의 의무 기록을 후향적으로 검토해 인구통계학적, 임상적 요인을 조사하였고 정신건강의학과 치료 연계여부에 따라 분석하였다. 결 과 입원과 외래 상관 없이 정신건강의학과 치료를 받는 것에 영향을 주는 요인은 정신건강의학과 진단 유무, 직업 유무, 정신건강의학과 치료 과거력, 자살시도 과거력이었다. 정신건강의학과 치료 형태를 입원과 외래로 나누어 동반된 의학적 질병의 심각도(Charlson comorbidity index)를 비교했을 때, 입원을 통해 정신건강의학과 치료를 받은 자살시도자와 치료 자체를 거부한 자살시도자는 외래에서 치료를 받은 자살시도자보다 동반된 의학적 질병의 심각도가 높게 나타났다. 결 론 이 연구 결과 응급실에 내원한 자살시도자에게 동반된 의학적 질병의 심각도(Charlson comorbidity index)가 정신건강의학과 치료 형태에 영향을 미친다는 점을 알 수 있었다. 따라서 정신건강의학과 의사는 응급실에 내원한 자살시도자에 대해 의학적 동반질병의 여부 및 심각도를 평가하여 동반된 의학적 질병이 상대적으로 심각함에도 불구하고 자의퇴원을 진행하려고 하는 자살시도자에게 좀 더 합리적인 의사결정을 할 수 있도록 도움을 줄 수 있어야 한다.

• 생물정신의학
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• 제16권1호
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• pp.37-45
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• 2009

Objectives : It is reported that panic disorder is frequently comorbid with other psychiatric illnesses. The aim of this study was to investigate differences of psychiatric comorbidity according to age of onset of panic disorder. Methods : Three hundred-two patients participated in the study. All the patients were evaluated by clinical instruments for the assessment the presence of other comorbid psychiatric disorders and various clinical features; Korean version of Mini International Neuropsychiatric Interview, Self-report questionnaires(Beck Anxiety Inventory, Beck Depression Inventory, Anxiety Sensitivity Index and State-Trait Anxiety Inventory) and clinical rating scale (Hamilton Anxiety Scale, Hamilton Depression Scale and Global Assessment of Functional score). Chi-square test was used to determine the difference between early onset and late onset panic disorder. Results : Forty percent of panic patients were found to have at least one comorbid psychiatric diagnosis. There were no differences among the groups divided by number of comorbidity in sex, agoraphobia comorbidity, duration of panic disorder, except onset age of panic disorder. Early onset group had more comorbidy with social phobia, agoraphobia, PTSD. We also found that Early onset panic disorder patients were more likely to experience derealization, nausea, parethesia than late onset panic disorder patients. Conclusion : The results of our study are in keeping with previous data from other parts of the world. Our finding suggest that earier onset of panic disorder related to more psychiatric comorbidity.

• Journal of Periodontal and Implant Science
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• 제48권2호
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• pp.92-102
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• 2018

Purpose: This study investigated the validity of the Charlson comorbidity index (CCI) as a predictor of periodontal disease (PD) over a 12-year period. Methods: Nationwide representative samples of 149,785 adults aged ${\geq}60$ years with PD (International Classification of Disease, 10th revision [ICD-10], K052-K056) were derived from the National Health Insurance Service-Elderly Cohort during 2002-2013. The degree of comorbidity was measured using the CCI (grade 0-6), including 17 diseases weighted on the basis of their association with mortality, and data were analyzed using multivariate Cox proportional-hazards regression in order to investigate the associations of comorbid diseases (CDs) with PD. Results: The multivariate Cox regression analysis with adjustment for sociodemographic factors (sex, age, household income, insurance status, residence area, and health status) and CDs (acute myocardial infarction, congestive heart failure, peripheral vascular disease, cerebral vascular accident, dementia, pulmonary disease, connective tissue disorders, peptic ulcer, liver disease, diabetes, diabetes complications, paraplegia, renal disease, cancer, metastatic cancer, severe liver disease, and human immunodeficiency virus [HIV]) showed that the CCI in elderly comorbid participants was significantly and positively correlated with the presence of PD (grade 1: hazard ratio [HR], 1.11; P<0.001; grade ${\geq}2$: HR, 1.12, P<0.001). Conclusions: We demonstrated that a higher CCI was a significant predictor of greater risk for PD in the South Korean elderly population.

• Journal of Korean Neurosurgical Society
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• 제64권6호
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• pp.995-1003
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• 2021

Objective : People are living longer and the elderly population continues to increase. The incidence of degenerative spinal diseases (DSDs) in the elderly population is quite high. Therefore, we are facing more cases of DSD and offering more surgical solutions in geriatric patients. Understanding the significance and association of frailty and central sarcopenia as risk factors for spinal surgery in elderly patients will be helpful in improving surgical outcomes. We conducted a retrospective cohort analysis of prospectively collected data to assess the impact of preoperative central sarcopenia, frailty, and comorbidity on surgical outcome in elderly patients with DSD. Methods : We conducted a retrospective analysis of patients who underwent elective spinal surgery performed from January 1, 2019 to September 30, 2020 at our hospital. We included patients aged 65 and over who underwent surgery on the thoracic or lumbar spine and were diagnosed as DSD. Central sarcopenia was measured by the 50th percentile of psoas : L4 vertebral index (PLVI) using the cross-sectional area of the psoas muscle. We used the Korean version of the fatigue, resistance, ambulation, illnesses, and loss of weight (K-FRAIL) scale to measure frailty. Comorbidity was confirmed and scored using the Charlson Comorbidity Index (CCI). As a tool for measuring surgical outcome, we used the Clavien-Dindo (CD) classification for postoperative complications and the length of stay (LOS). Results : This study included 85 patients (35 males and 50 females). The mean age was 74.05±6.47 years. Using the K-FRAIL scale, four patients were scored as robust, 44 patients were pre-frail and 37 patients were frail. The mean PLVI was 0.61±0.19. According to the CD classification, 50 patients were classified as grade 1, 19 as grade 2, and four as grade 4. The mean LOS was 12.35±8.17 days. Multivariate stepwise regression analysis showed that postoperative complication was significantly associated with surgical invasiveness and K-FRAIL scale. LOS was significantly associated with surgical invasiveness and CCI. K-FRAIL scale showed a significant correlation with CCI and PLVI. Conclusion : The present study demonstrates that frailty, comorbidity, and surgical invasiveness are important risk factors for postoperative complications and LOS in elderly patients with DSD. Preoperative recognition of these factors may be useful for perioperative optimization, risk stratification, and patient counseling.

• Journal of Preventive Medicine and Public Health
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• 제43권1호
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• pp.42-49
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• 2010

Objectives: To compare the performance of three International Statistical Classification of Diseases, 10th Revision translations of the Charlson comorbidities when predicting in-hospital among patients with myocardial infarction (MI). Methods: MI patients ${\geq}20$ years of age with the first admission during 2006 were identified(n=20,280). Charlson comorbidities were drawn from Heath Insurance Claims Data managed by Health Insurance Review and Assessment Service in Korea. Comparisions for various conditions included (a) three algorithms (Halfon, Sundararajan, and Quan algorithms), (b) lookback periods (1-, 3- and 5-years), (c) data range (admission data, admission and ambulatory data), and (d) diagnosis range (primary diagnosis and first secondary diagnoses, all diagnoses). The performance of each procedure was measured with the c-statistic derived from multiple logistic regression adjusted for age, sex, admission type and Charlson comorbidity index. A bootstrapping procedure was done to determine the approximate 95% confidence interval. Results: Among the 20,280 patients, the mean age was 63.3 years, 67.8% were men and 7.1% died while hospitalized. The Quan and Sundararajan algorithms produced higher prevalences than the Halfon algorithm. The c-statistic of the Quan algorithm was slightly higher, but not significantly different, than that of other two algorithms under all conditions. There was no evidence that on longer lookback periods, additional data, and diagnoses improved the predictive ability. Conclusions: In health services study of MI patients using Health Insurance Claims Data, the present results suggest that the Quan Algorithm using a 1-year lookback involving primary diagnosis and the first secondary diagnosis is adequate in predicting in-hospital mortality.

• Journal of Preventive Medicine and Public Health
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• 제42권2호
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• pp.117-122
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• 2009

Objectives : We tried to evaluate the agreement of the Charlson comorbidity index values(CCI) obtained from different sources(medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the prognostic value of these data for predicting 1-year mortality and length of the hospital stay(length of stay). Methods : Medical records of 284 gastric cancer patients were reviewed, and their National Health Insurance claims data and death certificates were also investigated. To evaluate agreement, the kappa coefficient was tested. Multiple logistic regression analysis and multiple linear regression analysis were performed to evaluate and compare the prognostic power for predicting 1 year mortality and length of stay. Results : The CCI values for each comorbid condition obtained from 2 different data sources appeared to poorly agree(kappa: 0.00-0.59). It was appeared that the CCI values based on both sources were not valid prognostic indicators of 1-year mortality. Only medical record-based CCI was a valid prognostic indicator of length of stay, even after adjustment of covariables($\beta$ = 0.112, 95% CI = [0.017-1.267]). Conclusions : There was a discrepancy between the data sources with regard to the value of CCI both for the prognostic power and its direction. Therefore, assuming that medical records are the gold standard for the source for CCI measurement, claims data is not an appropriate source for determining the CCI, at least for gastric cancer.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제34권4호
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• pp.275-282
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• 2023

Objectives: This study aimed to identify the psychiatric comorbidity status of adult patients diagnosed with attention-deficit hyperactivity disorder (ADHD) and determine the impact of comorbidities on neuropsychological outcomes in ADHD. Methods: The study participants were 124 adult patients with ADHD. Clinical psychiatric assessments were performed by two board-certified psychiatrists in accordance with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. All participants were assessed using the Mini-International Neuropsychiatric Interview Plus version 5.0.0 to evaluate comorbidities. After screening, neuropsychological outcomes were assessed using the Comprehensive Attention Test (CAT) and the Korean version of the Wechsler Adult Intelligence Scale, Fourth Edition (K-WAIS-IV). Results: Mood disorders (38.7%) were the most common comorbidity of ADHD, followed by anxiety (18.5%) and substance use disorders (13.7%). The ADHD with comorbidities group showed worse results on the Perceptual Organization Index and Working Memory Index sections of the K-WAIS than the ADHD-alone group (p=0.015 and p=0.024, respectively). In addition, the presence of comorbidities was associated with worse performance on simple visual commission errors in the CAT tests (p=0.024). Conclusion: These findings suggest that psychiatric comorbidities are associated with poor neuropsychological outcomes in adult patients with ADHD, highlighting the need to identify comorbidities in these patients.