• Title/Summary/Keyword: Charlson Comorbidity Index (CCI)

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Convergence Study in Development of Severity Adjustment Method for Death with Acute Myocardial Infarction Patients using Machine Learning (머신러닝을 이용한 급성심근경색증 환자의 퇴원 시 사망 중증도 보정 방법 개발에 대한 융복합 연구)

  • Baek, Seol-Kyung;Park, Hye-Jin;Kang, Sung-Hong;Choi, Joon-Young;Park, Jong-Ho
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.217-230
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    • 2019
  • This study was conducted to develop a customized severity-adjustment method and to evaluate their validity for acute myocardial infarction(AMI) patients to complement the limitations of the existing severity-adjustment method for comorbidities. For this purpose, the subjects of KCD-7 code I20.0 ~ I20.9, which is the main diagnosis of acute myocardial infarction were extracted using the Korean National Hospital Discharge In-depth Injury survey data from 2006 to 2015. Three tools were used for severity-adjustment method of comorbidities : CCI (charlson comorbidity index), ECI (Elixhauser comorbidity index) and the newly proposed CCS (Clinical Classification Software). The results showed that CCS was the best tool for the severity correction, and that support vector machine model was the most predictable. Therefore, we propose the use of the customized method of severity correction and machine learning techniques from this study for the future research on severity adjustment such as assessment of results of medical service.

Factors Affecting Falls of Demented Inpatients (치매 입원환자의 낙상 영향 요인)

  • Kim, Sang-Mi;Lee, Seong-A
    • 한국노년학
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    • v.39 no.2
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    • pp.231-240
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    • 2019
  • The study aimed to identify risk factors for falls as well as hospitalization status according to disease and demographic characteristics of demented inpatients by investigating the in-depth Injury Patient Surveillance System data collected by Korea Centers for Disease Control and Prevention(KCDC). Older adults over 60 years old who were diagnosed with dementia were included(n=1,732). Their data were analyzed after being assigned to either a fall group or a non-fall group. STATA was used for statistical analyses, such as frequency analysis, chi-square (χ2) test, and logistics regression. It was found that 8.0% of the demented inpatients experienced falls. According to the analysis on category of fall and non-fall group were statistically significant difference in age and Charlson Comorbidity Index(CCI) and bone density deficiency. Based on the logistic regression analysis of factors affecting falls, older adults over 80 are 2.386 times more likely to fall and based on a target with a CCI of 0, the risk of falls is 0.421 times lower, finally based on those without bone density disorder, the fall risk for those with bone density disorder was 3.581 times higher. Therefore, we expect that the important about the factors relating to falls identified in this can not only be found valuable for educating inpatients with dementia and care-givers, but also be used as reference that supports clinical professionals to make decisions on falls management for patients with dementia.

Pain-related Prescribing Patterns and Associated Factor in Breast Cancer Patients (유방암 환자의 통증 관련 약물 현황과 통증에 미치는 요인)

  • Lee, Jin;Park, Ie Byung;Seo, Hwa Jeong
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.2
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    • pp.115-124
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    • 2021
  • Background: With an increase in the number of breast cancer survivors, greater importance is attached to health-related quality of life, particularly pain and symptom control. This study aimed to identify the factors that are associated with pain in cancer patients based on the patterns of prescribing opioid, non-opioid, and adjuvant analgesics. Methods: This analysis included new patients who had developed breast cancer between 2003 and 2012. The degree of pain was analyzed based on the socio-demographic (age, income quintile, number of hospitalizations, and duration of disease), indicator (Body Mass Index; BMI, Charlson Comorbidity Index; CCI, Cumulative Analgesic Consumption Score; CACS), operation (mastectomy, lymph node dissection), and therapy (chemotherapy, radiation therapy), as well as complication-related variable (lymphedema). Results: As for the patterns of prescribing analgesics by stages, non-opioid and opioid analgesics constituted 30.7 and 69.3%, respectively. The mean value and variance of CACS were 5.596 and 12.567, respectively. The factors that significantly affected the degree of pain were age (≥50; IRR: 1.848, 95% CI 1.564-2.184, p=0.000), income quintile (IRR: 0.964, 95% CI 0.938-0.991, p=0.008), BMI (≥ 25; IRR: 1.479, 95% CI 1.222-1.795, p=0.000), CCI (≥ 4; IRR: 1.649, 95% CI 1.344-2.036, p=0.000), and lymphedema (yes; IRR: 1.267, 95% CI 1.006-1.610, p=0.047). Conclusions: It is necessary to develop systematic and comprehensive pain control measures to improve the quality of life for breast cancer survivors, especially for those who are 50 years or older, lie in the lower-income quintile, have BMI of ≥25 and CCI score ≥ 4, or have lymphedema.

Potentially Inappropriate Medications and Regimen Complexity on Readmission of Elderly Patients with Polypharmacy: A Retrospective Study

  • Sunmin Lee
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.1
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    • pp.1-7
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    • 2023
  • Background: Along with the increase in the elderly population, concerns about polypharmacy, which can cause medication-related problems, are increasing. This study aimed to find out the association between drug-related factors and readmission in elderly patients within 30 days after discharge. Methods: Data of patients aged ≥65 years who were discharged from the respiratory medicine ward of a tertiary hospital between January and March 2016 were retrospectively obtained. The medication regimen complexity at discharge was calculated using the medication regimen complexity index (MRCI) score, comorbidity status was assessed using the Charlson comorbidity index (CCI), potentially inappropriate medications (PIMs) were evaluated based on the Beer 2019 criteria, and adverse drug events (ADEs) were examined using the ADE reporting system. Multivariable logistic regression analysis was used to evaluate the effect of medication-related problems on hospital readmission after controlling for other variables. Results: Of the 206 patients included, 84 (40.8%) used PIMs, 31 (15%) had ADEs, and 32 (15.5%) were readmitted. The mean age, total medications, MRCI, CCI, and PIMs in the readmission group were significantly higher than those in the non-readmission group. Age significantly decreased the risk of readmission (odds ratio [OR], 0.89; 95% confidence interval [CI], 0.84-0.96) after adjusting for sex, length of hospital stay, and ADEs. The use of PIMs (OR, 2.38; 95% CI, 1.10-5.16) and increased CCI (OR, 1.50; 95% CI, 1.16-1.93) and MRCI (OR, 1.04; 95% CI, 1.01-1.07) were associated with an increased occurrence of readmission. Conclusion: PIMs were associated with a significantly greater risk for readmission than MRCI.

Central Sarcopenia, Frailty and Comorbidity as Predictor of Surgical Outcome in Elderly Patients with Degenerative Spine Disease

  • Kim, Dong Uk;Park, Hyung Ki;Lee, Gyeoung Hae;Chang, Jae Chil;Park, Hye Ran;Park, Sukh Que;Cho, Sung Jin
    • Journal of Korean Neurosurgical Society
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    • v.64 no.6
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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.

The Influence of Comorbidities on Reoperations Following Primary Surgery of Lumbar Degenerative Diseases : A Nationwide Population-Based Retrospective Cohort Study from 2009-2016

  • Park, Hyung-Ki;Park, Su-Yeon;Lee, Poong-Hhoon;Park, Hye-Ran;Park, Sukh-Que;Cho, Sung-Jin;Chang, Jae-Chil
    • Journal of Korean Neurosurgical Society
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    • v.63 no.6
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    • pp.730-737
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    • 2020
  • Objective : Spinal degeneration is a progressive disease, worsening over time. Lumbar degenerative disease (LDD) is a major spinal disease in elderly patients. Surgical treatment is considered for medically intractable patients with LDD and reoperation after primary surgery is not uncommon. The surgical outcome is occasionally unpredictable because of comorbidities. In the present study, the relationship between comorbidities and the incidence of reoperation for LDD over time was determined. Methods : The claims data of the health insurance national database were used to identify a cohort of patients who underwent spinal surgery for LDD in 2009. The patients were followed up until 2016. Medical comorbidity was assessed according to the Charlson comorbidity index (CCI). Cox proportional hazard regression modeling was used to identify significant differences in sex, surgery, age, causative disease, and comorbidity. Results : The study cohort included 78241 patients; 10328 patients (13.2%) underwent reoperation during the observation period. The reoperation rate was statistically higher (p<0.01) in males, patients 55-74 years and 65-74 years of age, and patients with decompression or discectomy. Significant association was found between increasing reoperation rate and CCI score (p<0.01). Based on multivariate analysis of comorbidities, the significantly higher reoperation rates were observed in patients with peripheral vascular disease, pulmonary lung disease, peptic ulcer, diabetes, and diabetes complications (p<0.01). Conclusion : The study results indicate the reoperation rate for LDD is associated with patient comorbidities. The comorbidities identified in this study could be helpful in future LDD studies.

Increased Prevalence of Chronic Disease in Back Pain Patients Living in Car-dependent Neighbourhoods in Canada: A Cross-sectional Analysis

  • Zeglinski-Spinney, Amy;Wai, Denise C.;Phan, Philippe;Tsai, Eve C.;Stratton, Alexandra;Kingwell, Stephen P.;Roffey, Darren M.;Wai, Eugene K.
    • Journal of Preventive Medicine and Public Health
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    • v.51 no.5
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    • pp.227-233
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    • 2018
  • Objectives: Chronic diseases, including back pain, result in significant patient morbidity and societal burden. Overall improvement in physical fitness is recommended for prevention and treatment. Walking is a convenient modality for achieving initial gains. Our objective was to determine whether neighbourhood walkability, acting as a surrogate measure of physical fitness, was associated with the presence of chronic disease. Methods: We conducted a cross-sectional study of prospectively collected data from a prior randomized cohort study of 227 patients referred for tertiary assessment of chronic back pain in Ottawa, ON, Canada. The Charlson Comorbidity Index (CCI) was calculated from patient-completed questionnaires and medical record review. Using patients' postal codes, neighbourhood walkability was determined using the Walk Score, which awards points based on the distance to the closest amenities, yielding a score from 0 to 100 (0-50: car-dependent; 50-100: walkable). Results: Based on the Walk Score, 134 patients lived in car-dependent neighborhoods and 93 lived in walkable neighborhoods. A multivariate logistic regression model, adjusted for age, gender, rural postal code, body mass index, smoking, median household income, percent employment, pain, and disability, demonstrated an adjusted odds ratio of 2.75 (95% confidence interval, 1.16 to 6.53) times higher prevalence for having a chronic disease for patients living in a car-dependent neighborhood. There was also a significant dose-related association (p=0.01; Mantel-Haenszel chi-square=6.4) between living in car-dependent neighbourhoods and more severe CCI scores. Conclusions: Our findings suggest that advocating for improved neighbourhood planning to permit greater walkability may help offset the burden of chronic disease.

In-hospital malnutrition among adult patients in a national referral hospital in Indonesia

  • Dyah Purnamasari;Nur Chandra Bunawan;Dwi Suseno;Ikhwan Rinaldi;Drupadi HS Dillon
    • Nutrition Research and Practice
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    • v.17 no.2
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    • pp.218-227
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    • 2023
  • BACKGROUND/OBJECTIVES: Malnutrition during hospitalization is linked to increased morbidity and mortality, but there are insufficient studies observing clinical factors contributing to weight loss during hospitalization in Indonesia. This study was therefore undertaken to determine the rate of weight loss during hospitalization and the contributing factors. SUBJECTS/METHODS: This was a prospective study involving hospitalized adult patients aged 18-59 yrs, conducted between July and September 2019. Body weight measurement was taken at the time of admission and on the last day of hospitalization. The factors studied were malnutrition at admission (body mass index < 18.5 kg/m2), immobilization, depression (Beck Depression Inventory-II Indonesia), polypharmacy, inflammatory status (neutrophil-lymphocytes ratio; NLR), comorbidity status (Charlson Comorbidity Index; CCI), and length of stay. RESULTS: Totally, 55 patients were included in the final analysis, with a median age of 39 (18-59 yrs) yrs. Of these, 27% had malnutrition at admission, 31% had a CCI score > 2, and 26% had an NLR value of ≥ 9. In all, 62% presented with gastrointestinal symptoms, and depression was documented in one-third of the subjects at admission. Overall, we recorded a mean weight loss of 0.41 kg (P = 0.038) during hospitalization, with significant weight loss observed among patients hospitalized for 7 days or more (P = 0.009). The bivariate analysis revealed that inflammatory status (P = 0.016) was associated with in-hospital weight loss, while the multivariate analysis determined that the contributing factors were length of stay (P < 0.001) and depression (P = 0.019). CONCLUSIONS: We found that inflammatory status of the patient might influence the incidence of weight loss during hospitalization, while depression and length of stay were independent predictors of weight loss during hospitalization.

Multilevel Analysis of Factors Related to Cost and Length of Stay in Acute Myocardial Infarction Patients with Coronary Stenting: Based on Korean National Health Insurance Service's Customized Database in 2010 and 2015 (관상동맥 스텐트를 삽입한 급성 심근경색 환자의 진료비 및 재원일수 관련 요인에 대한 다수준분석: 2010년과 2015년 국민건강보험공단 맞춤형 데이터베이스 자료를 바탕으로)

  • Choi, Boyoung;Lee, Hae-Jong
    • Health Policy and Management
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    • v.30 no.3
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    • pp.418-429
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    • 2020
  • Background: This study aims to analyze the cost and the length of stay (LOS) of acute myocardial infarction (AMI) patients with coronary artery stenting according to the characteristics of individuals and institutions. Methods: The data was collected from Korean National Health Insurance Service's customized database in 2010 and 2015. Chi-square test, t-test, analysis of variance, and multilevel analysis were performed. Results: The intraclass correlation coefficients for cost were 7.02% in 2010, 5.61% in 2015 and for LOS were 3.17%, 1.40%, respectively. The average costs were 9,067,000 won in 2010 and 9,889,000 won in 2015 (p<0.0001). However, the cost in 2015 was lower than the cost applying increased fee. The costs increased in aged 50-59 years, 60-69 years, and aged ≥70 years versus in aged under 49 years. The cost was higher in Charlson comorbidity index (CCI) 3 to 4 and ≥5 than in CCI 0. The costs were lower in male, medical aid recipients, metropolises, and local hospitals in other regions in 2010. LOS decreased from 8.1 days in 2010 to 7.4 days in 2015. It decreased in male, high income group, and the group of admission via emergency room. However, it increased in higher ages and medical aid recipients, and it also increased when CCI rose. The Internal Herfindahl Index was related to LOS in 2010. Conclusion: The variation of hospital level was small compared to the patient level. Therefore, it is important to implement applicable policies at the patient level in order to reduce cost and LOS of AMI patients.

Associations among Physical Activity, Comorbidity, Functional Capacity, Peripheral Muscle Strength and Depression in Breast Cancer Survivors

  • Vardar-Yagli, Naciye;Sener, Gul;Saglam, Melda;Calik-Kutukcu, Ebru;Arikan, Hulya;Inal-Ince, Deniz;Savci, Sema;Altundag, Kadri;Kutluk, Tezer;Ozisik, Yavuz;Kaya, Ergun Baris
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.2
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    • pp.585-589
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    • 2015
  • Physical inactivity may an important outcome in the prognosis of breast cancer. Physical activity levels decrease significantly for breast cancer patients following the treatment and remain low after oncology treatment is completed. The aim of this study was to determine physical activity levels and to examine associations among physical activity, comorbidity, functional capacity, peripheral muscle strength, and psychosocial status in breast cancer patients. Forty breast cancer survivors were included in this study. Demographic and clinical characteristics were recorded. Physical activity was assessed with a short form of the International Physical Activity Questionnaire (IPAQ). We defined comorbid diseases according to the Charlson Comorbidity Index (CCI). Functional capacity was evaluated with a six-minute walk test (6MWT). Peripheral muscle strength was measured for quadriceps femoris muscle with a hand-held dynamometer. Psychosocial status was measured with the Hospital Anxiety Depression Scale (HADS). Forty percent of patients were inactive. The IPAQ total score was significantly related with quadriceps muscle strength (r=0.492; p<0.001) and HADS depression score (r=0.341; p<0.05). Marked correlations were also observed between IPAQ walking score and quadriceps muscle strength (r=0.449; p<0.001), HADS depression score (r=0.341; p<0.05), and CCI (r=-0.433; p<0.001). The CCI score was also markedly associated with quadriceps muscle strength (r=-0.413; p<0.001). 6MWT distance was not significantly correlated with any of the parameters. Regression analyses revealed that psychosocial status and peripheral muscle strength were significant predictors of physical activity estimated with the IPAQ short form and when combined, they explained 35% of the variance. Comorbidities, peripheral muscle strength and psychosocial status partially explain the variability of physical activity level in breast cancer survivors. These results suggest that physical inactivity contributes to worsening health in breast cancer survivors.