Predictors of In-hospital Mortality in Oldest-Old Patients in Taiwan

Hwang, Lee-Ching; Hsu, Chen H.; Tjung, Jin-Jin; Shih, Shou-Chuan; Lin, Chao-Cheng; Huang, Tsu-Hsueh

doi:10.1016/j.ijge.2012.07.005

Cited by 16 publications

(9 citation statements)

References 25 publications

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“…The risk factors associated with mortality in the oldest patients admitted to the ICU include age >85 years, being transferred from the emergency department, observation unit or surgical wards, shock, undergoing emergency surgery, and hyperglycemia, this is similar to the findings by the recent study of Hwang el al . [ 15 ]…”

Section: Discussionmentioning

confidence: 99%

Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital

Reyes

Alonso

Fonseca³

et al. 2016

Indian Journal of Critical Care Medicine

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Aim:To study all the elderly patients (≥75 years) who were admitted in an Intensive Care Unit (ICU) of a Spanish hospital and identify factors associated with mortality.Patients and Methods:A retrospective, observational data collected prospectively in patients ≥75 years recruited from the ICU in the period of January 2004 to December 2010.Results:During the study period, 1661 patients were admitted to our unit, of whom 553 (33.3%) were older than 75 years. The mean age was 79.9 years, 317 (57.3%) were male, and the overall in-hospital mortality was 94 patients (17% confidence interval 14–20.3%). When comparing patients who survived to those who died, we found significant differences in mean age (P = 0.001), Acute Physiologic Assessment and Chronic Health Evaluation II and Simplified Acute Physiology Scoring II (SAPS II) on admission (P < 0.0001, postoperative patients (P = 0.001), and need for mechanical ventilation (P < 0.0001). Comparing age groups, we found statistically significant differences in SAPS II (P = 0.007), diagnosis of non-ST-segment elevation myocardial infarction (P = 0.014), complicated postoperative period (P = 0.001), and pacemaker (P = 0.034). Mortality between the groups was statistically significant (P = 0.004). The survival between the group of 65 and 74 years and patients >75 years was not significant (P = 0.1390).Conclusions:The percentage of elderly patients in our unit is high, with low mortality rates. The age itself is not the sole determinant for admission to the ICU and other factors should be taken into account.

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Section: Discussionmentioning

confidence: 99%

Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital

Reyes

Alonso

Fonseca³

et al. 2016

Indian Journal of Critical Care Medicine

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“…Also, in South Africa, out of 11,254 older adults admitted to medical services during a four-year period, 15.1% of deaths were reported [9]. Mortality among hospitalized older adults in Africa is higher than that reported in Europe and Asia [8,27,28], suggesting poor quality of health care for older adults. Several reasons may explain these differences such as a more performant technical platform and a higher number of geriatricians.…”

Section: Discussionmentioning

confidence: 93%

Predictors of three-month mortality among hospitalized older adults in Togo

Gbeasor-Komlanvi

Tchankoni

Bakoubayi

et al. 2020

Preprint

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Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

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Section: Discussionmentioning

confidence: 93%

“…Even during hospitalization, the exact causes of death are often di cult to document [48]. Abnormal laboratory tests results such as abnormal levels of hemoglobin, creatinine, urea, blood sugar have been found to be predictors of mortality in older adults [8,26,27]. For this study, we could not collect blood samples for laboratory testing due to the lack of nancial means.…”

Section: Discussionmentioning

confidence: 99%

Predictors of three-month mortality among hospitalized older adults in Lomé, Togo

Gbeasor-Komlanvi

Tchankoni

Bakoubayi

et al. 2020

Preprint

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Abstract Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, cardiovascular diseases excluding stroke, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

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Predictors of In-hospital Mortality in Oldest-Old Patients in Taiwan

Cited by 16 publications

References 25 publications

Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital

Characteristics and mortality of elderly patients admitted to the Intensive Care Unit of a district hospital

Predictors of three-month mortality among hospitalized older adults in Togo

Predictors of three-month mortality among hospitalized older adults in Lomé, Togo

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