Han, Myung-Hoon;Ryu, Je Il;Kim, Choong Hyun;Kim, Jae Min;Cheong, Jin Hwan;Yi, Hyeong-Joong
Journal of Korean Neurosurgical Society
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제60권2호
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pp.239-249
/
2017
Objective : The purpose of this study is to evaluate the associations between 30-day mortality and various radiological and clinical factors in patients with traumatic acute subdural hematoma (SDH). During the 11-year study period, young patients who underwent surgery for SDH were followed for 30 days. Patients who died due to other medical comorbidities or other organ problems were not included in the study population. Methods : From January 1, 2004 to December 31, 2014, 318 consecutive surgically-treated traumatic acute SDH patients were registered for the study. The Kaplan-Meier method was used to analyze 30-day survival rates. We also estimated the hazard ratios of various variables in order to identify the independent predictors of 30-day mortality. Results : We observed a negative correlation between 30-day mortality and Glasgow coma scale score (per 1-point score increase) (hazard ratio [HR], 0.60; 95% confidence interval [CI], 0.52-0.70; p<0.001). In addition, use of antithrombotics (HR, 2.34; 95% CI, 1.27-4.33; p=0.008), history of diabetes mellitus (HR, 2.28; 95% CI, 1.20-4.32; p=0.015), and accompanying traumatic subarachnoid hemorrhage (hazard ratio, 2.13; 95% CI, 1.27-3.58; p=0.005) were positively associated with 30-day mortality. Conclusion : We found significant associations between short-term mortality after surgery for traumatic acute SDH and lower Glasgow Coma Scale scores, use of antithrombotics, history of diabetes mellitus, and accompanying traumatic subarachnoid hemorrhage at admission. We expect these findings to be helpful for selecting patients for surgical treatment of traumatic acute SDH, and for making accurate prognoses.
Objective To investigate the effect of a rehabilitation program in terms of De Morton Mobility Index (DEMMI) score, in hematologic cancer patients after chemotherapy. Methods Hematologic cancer patients admitted for chemotherapy were reviewed. They received a rehabilitation program during their hospital stay. DEMMI score measurement was performed, before and after rehabilitation. Demographics, diagnosis, chemotherapy information, rehabilitation program duration, mortality, body mass index (BMI), and laboratory test results were collected. For analysis, patients were classified according to diagnosis (multiple myeloma, leukemia, and others), mortality, and additional chemotherapy. Results There was statistically significant improvement in DEMMI score of 10.1 points (95% confidence interval, 5.9-14.3) after rehabilitation. It was more evident in the multiple myeloma group, and they revealed less mortality. When patients were divided according to mortality, survivors received the program earlier, and in a shorter period than in mortality cases. Although survivors revealed higher initial DEMMI score, improvement after rehabilitation did not differ significantly. Conclusion In hematologic cancer patients, rehabilitation program was effective for recovery from deconditioning, revealing significant increase in DEMMI score. Multiple myeloma patients may be good candidates for rehabilitation. Rehabilitation could be sustained during chemotherapy and for high-risk patients.
Kim, Ho Jin;Kim, Joon Bum;Kim, Seon-Ok;Yun, Sung-Cheol;Lee, Sak;Lim, Cheong;Choi, Jae Woong;Hwang, Ho Young;Kim, Kyung Hwan;Lee, Seung Hyun;Yoo, Jae Suk;Sung, Kiick;Je, Hyung Gon;Hong, Soon Chang;Kim, Yun Jung;Kim, Sung-Hyun;Chang, Byung-Chul
Journal of Chest Surgery
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제54권2호
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pp.88-98
/
2021
Background: This study aimed to develop a new risk prediction model for operative mortality in a Korean cohort undergoing heart valve surgery using the Korea Heart Valve Surgery Registry (KHVSR) database. Methods: We analyzed data from 4,742 patients registered in the KHVSR who underwent heart valve surgery at 9 institutions between 2017 and 2018. A risk prediction model was developed for operative mortality, defined as death within 30 days after surgery or during the same hospitalization. A statistical model was generated with a scoring system by multiple logistic regression analyses. The performance of the model was evaluated by its discrimination and calibration abilities. Results: Operative mortality occurred in 142 patients. The final regression models identified 13 risk variables. The risk prediction model showed good discrimination, with a c-statistic of 0.805 and calibration with Hosmer-Lemeshow goodness-of-fit p-value of 0.630. The risk scores ranged from -1 to 15, and were associated with an increase in predicted mortality. The predicted mortality across the risk scores ranged from 0.3% to 80.6%. Conclusion: This risk prediction model using a scoring system specific to heart valve surgery was developed from the KHVSR database. The risk prediction model showed that operative mortality could be predicted well in a Korean cohort.
Ergues, Kazim;Yurekli, Ismail;Celik, Ersin;Yetkin, Ufuk;Yilik, Levent;Gurbuz, Ali
Journal of Chest Surgery
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제46권6호
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pp.444-448
/
2013
Background: We aimed to investigate the preoperative, operative, and postoperative factors affecting intra-aortic balloon pump (IABP) insertion in patients undergoing isolated on-pump coronary artery bypass grafting (CABG). We also investigated factors affecting morbidity, mortality, and survival in patients with IABP support. Methods: Between January 2002 and December 2009, 1,657 patients underwent isolated CABG in Izmir Katip Celebi University Ataturk Training and Research Hospital. The number of patients requiring support with IABP was 134 (8.1%). Results: In a multivariate logistic regression analysis, prolonged cardiopulmonary bypass time and prolonged operation time were independent predictive factors of IABP insertion. The postoperative mortality rate was 35.8% and 1% in patients with and without IABP support, respectively (p=0.000). Postoperative renal insufficiency, prolonged ventilatory support, and postoperative atrial fibrillation were independent predictive factors of postoperative mortality in patients with IABP support. The mean follow-up time was $38.55{\pm}22.70$ months and $48.78{\pm}25.20$ months in patients with and without IABP support, respectively. The follow-up mortality rate was 3% (n=4) and 5.3% (n=78) in patients with and without IABP support, respectively. Conclusion: The patients with IABP support had a higher postoperative mortality rate and a longer length of intensive care unit and hospital stay. The mid-term survival was good for patients surviving the early postoperative period.
Background: To prepare for future work stoppages in the medical industry, this study aimed to identify the effects of healthcare worker strikes on the mortality rate of patients visiting the emergency department (ED) at six training hospitals in Daegu, South Korea. Methods: We used a retrospective, cross-sectional, multicenter design to analyze the medical records of patients who visited six training hospitals in Daegu (August 21-September 8, 2020). For comparison, control period 1 was set as the same period in the previous year (August 21-September 8, 2019) and control period 2 was set as July 1-19, 2020. Patient characteristics including age, sex, and time of ED visit were investigated along with mode of arrival, length of ED stay, and in-hospital mortality. The experimental and control groups were compared using t-tests, and Mann-Whitney U-test, chi-square test, and Fisher exact tests, as appropriate. Univariate logistic regression was performed to identify significant factors, followed by multivariate logistic regression analysis. Results: During the study period, 31,357 patients visited the ED, of which 7,749 belonged to the experimental group. Control periods 1 and 2 included 13,100 and 10,243 patients, respectively. No significant in-hospital mortality differences were found between strike periods; however, the results showed statistically significant differences in the length of ED stay. Conclusion: The ED resident strike did not influence the mortality rate of patients who visited the EDs of six training hospitals in Daegu. Furthermore, the number of patients admitted and the length of ED stay decreased during the strike period.
Hoe Jeong Chung;Doo Sup Kim;Jin Woo Lee;Seok In Hong
Hip & pelvis
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제34권3호
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pp.150-160
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2022
Purpose: The purpose of this study is to determine risk factors that affect mortality following osteoporotic hip fracture in patients 50 years or older using the National Health Insurance Service (NHIS) sample cohort 2.0 database. Materials and Methods: Data from 2,533 patients who satisfied the inclusion criteria for the NHIS sample cohort 2.0 database were used in this study. Data from patients who suffered osteoporotic hip fractures between 2002-2015 were used. An analysis of correlations between the incidence of osteoporotic hip fractures and various factors (sex, age, underlying diseases, etc.) was performed. Analysis of the associations between the mortality of osteoporotic hip fracture and the various factors with hazard ratio (HR) was performed using Cox regression models. Results: Patient observation continued for an average of 38.12±32.09 months. During the observation period, a higher incidence of hip fracture was observed in women; however, higher mortality following the fracture was observed in men (HR=0.728; 95% confidence interval [CI], 0.635-0.836). The incidence and mortality of fractures increased when there were increasing age, more than three underlying diseases (HR=1.945; 95% CI, 1.284-2.945), cerebrovascular diseases (HR=1.429; 95% CI, 1.232-1.657), and renal diseases (HR=1.248; 95% CI, 1.040-1.497). Also, higher mortality was observed in patients who were underweight (HR=1.342; 95% CI, 1.079-1.669), current smokers (HR=1.338; 95% CI, 1.104-1.621), and inactivity (HR=1.379; 95% CI, 1.189-1.601). Conclusion: Male gender, the presence of cerebrovascular or kidney disease, a more than three underlying diseases, underweight, a current smoker, and inactivity were risk factors that increased mortality.
Peter Pin-Sung Liu;Jui-Chih Chang;Jin-Yi Hsu;Huei-Kai Huang;Ching-Hui Loh;Jih-I Yeh
Korean Circulation Journal
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제54권3호
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pp.126-137
/
2024
Background and Objectives: The impact of off-hours admission (such as weekends, nighttime, and non-working hours) vs. regular hours (weekdays and daytime working hours) on the mortality risk of patients undergoing surgery for type A aortic dissection (TAAD) repair is still uncertain. To address this uncertainty, we undertook a comprehensive systematic review and meta-analysis. We aimed to assess the potential link between off-hours admission and the risk of mortality in patients undergoing TAAD repair surgery. Methods: We conducted a thorough search of the PubMed, Embase, and Cochrane Library databases, covering the period from their inception to May 20, 2023. Our inclusion criteria encompassed all studies that examined the potential relationship between off-hour admission and mortality in individuals who had undergone surgery for TAAD repair. The odds ratios (ORs) were extracted and combined utilizing a random effects model for our synthesis. Results: Nine studies with 16,501 patients undergoing TAAD repair surgery were included in the meta-analysis. Overall, patients who underwent surgery during the weekend had higher in-hospital mortality (pooled OR, 1.41; 95% confidence interval [CI], 1.14-1.75; p=0.002) than those treated on weekdays. However, the mortality risks among patients who underwent TAAD surgery during nighttime and non-working hours were not significantly elevated compared to daytime and working hours admission. Conclusions: Weekend surgery for TAAD was associated with a higher in-hospital mortality risk than weekday surgery. However, further studies are warranted to identify and develop strategies to improve the quality of round-the-clock care for patients with TAAD.
Purpose: Using a propensity analysis, a recent study reported that blood transfusion might not be an independent predictor of mortality in critically ill patients, which contradicted the results of earlier studies. This study aims to reveal whether or not blood transfusion is an independent predictor of mortality in trauma patients. Methods: A total of three hundred fifty consecutive trauma patients who were admitted to our emergency center from January 2004 to October 2005 and who underwent an arterial blood gas analysis and a venous blood analysis were included in this study. Their medical records were collected prospectively and retrospectively. Using a multivariate logistic analysis, data on the total population and on the propensity-score -matched population were retrospectively analyzed for association with mortality. Results: Of the three hundred fifty patients, one hundred twenty-nine (36.9%) received a blood transfusion. These patients were older (mean age: 48 vs. 44 years; p=0.019) and had a higher mortality rate (27.9% vs. 7.7%; p<0.001). In the total population, the multivariate analysis revealed that the Glasgow coma scale score, the systolic blood pressure, bicarbonate, the need for respiratory support, past medical history of heart disease, the amount of blood transfusion for 24 hours, and hemoglobin were associated with mortality. In thirty-seven pairs of patients matched with a propensity score, potassium, new injury severity score, amount of blood transfusion for 24 hours, and pulse rate were associated with mortality in the multivariate analysis. Therefore, blood transfusion was a significant independent predictor of mortality in trauma patients. Conclusion: Blood transfusion was revealed to be a significant independent predictor of mortality in the total population of trauma patients and in the propensity-score-matched population.
Youshik Jeong;Yesung Lee;Eunchan Mun;Eunhye Seo;Daehoon Kim;Jaehong Lee;Jinsook Jeong;Woncheol Lee
Annals of Occupational and Environmental Medicine
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제34권
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pp.40.1-40.9
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2022
Background: According to the occupational accident status analysis in 2020, of 1,180 occupational deaths, 463 were caused by cardiovascular disease (CVD). Workers should be assessed for CVD risk at regular intervals to prevent work-related CVD in accordance with the rules on occupational safety and health standards. However, no previous study has addressed risk and mortality. Therefore, this longitudinal study was conducted to evaluate the relationship between 10-year cardiovascular risk of the general health checkup and mortality. Methods: The study included 545,859 participants who visited Kangbuk Samsung Total Healthcare Centers from January 1, 2002, to December 31, 2017. We performed 10-year cardiovascular risk assessment for the participants and the risk was divided into 4 groups (low, moderate, high, and very high). The study used death data from the Korea National Statistical Office for survival status as an outcome variable by December 31, 2019, and the cause of death based on the International Classification of Diseases, 10th Revision (ICD-10) was identified. Statistical analysis was performed using Cox proportional hazards regression analysis, and the sum of the periods from the first visit to the date of death or December 31, 2019, was used as a time scale. We also performed a stratified analysis for age at baseline and sex. Results: During 5,253,627.9 person-years, 4,738 overall deaths and 654 cardiovascular deaths occurred. When the low-risk group was set as a reference, in the multivariable-adjusted model, the hazard ratios (HRs) (95% confidence interval [CI]) for overall mortality were 3.36 (2.87-3.95) in the moderate-risk group, 11.08 (9.27-13.25) in the high-risk group, and 21.20 (17.42-25.79) in the very-high-risk group, all of which were statistically significant. In cardiovascular deaths, the difference according to the risk classification was more pronounced. The HRs (95% CI) were 8.57 (4.95-14.83), 38.95 (21.77-69.69), and 78.81 (42.62-145.71) in each group. As a result of a subgroup analysis by age and sex, the HRs of all-cause mortality and cardiovascular mortality tended to be higher in the high-risk group. Conclusions: This large-scale longitudinal study confirmed that the risk of death increases with the 10-year cardiovascular risk of general health checkup.
da Costa, Joao Cordeiro;Manso, Maria Conceicao;Gregorio Susana;Leite, Marcia;Pinto, Joao Moreira
Tuberculosis and Respiratory Diseases
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제85권4호
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pp.349-357
/
2022
Background: The most consistently identified mortality determinants for the new coronavirus 2019 (COVID-19) infection are aging, male sex, cardiovascular/respiratory diseases, and cancer. They were determined from heterogeneous cohorts that included patients with different disease severity and previous conditions. The main goal of this study was to determine if activities of daily living (ADL) dependence measured by Barthel's index could be a predictor for COVID-19 mortality. Methods: A prospective cohort study was performed with a consecutive sample of 340 COVID-19 patients representing patients from all over the northern region of Portugal from October 2020 to March 2021. Mortality risk factors were determined after controlling for demographics, ADL dependence, admission time, comorbidities, clinical manifestations, and delay-time for diagnosis. Central tendency measures were used to analyze continuous variables and absolute numbers (proportions) for categorical variables. For univariable analysis, we used t test, chi-square test, or Fisher exact test as appropriate (α=0.05). Multivariable analysis was performed using logistic regression. IBM SPSS version 27 statistical software was used for data analysis. Results: The cohort included 340 patients (55.3% females) with a mean age of 80.6±11.0 years. The mortality rate was 19.7%. Univariate analysis revealed that aging, ADL dependence, pneumonia, and dementia were associated with mortality and that dyslipidemia and obesity were associated with survival. In multivariable analysis, dyslipidemia (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.17-0.71) was independently associated with survival. Age ≥86 years (pooled OR, 2.239; 95% CI, 1.100-4.559), pneumonia (pooled OR, 3.00; 95% CI, 1.362-6.606), and ADL dependence (pooled OR, 6.296; 95% CI, 1.795-22.088) were significantly related to mortality (receiver operating characteristic area under the curve, 82.1%; p<0.001). Conclusion: ADL dependence, aging, and pneumonia are three main predictors for COVID-19 mortality in an elderly population.
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