Evaluation of comorbidity indices for inpatient mortality prediction models

Martins, Mônica; Blais, Régis

doi:10.1016/j.jclinepi.2005.11.017

Cited by 36 publications

(34 citation statements)

References 17 publications

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“…Comorbidity severity was evaluated with the Charlson Comorbidity Index (CCI); scores range from 0 to 37, and higher scores indicating worse comorbidity severity (34). This questionnaire has been previously used in a Brazilian population, and its validity was examined (35). Depressive symptoms were evaluated by the Beck Depression Inventory (BDI-II) and were defined as present if the score was greater than 16 (36).…”

Section: Outcome Measuresmentioning

confidence: 99%

Associations among physical activity, comorbidities, depressive symptoms and health-related quality of life in type 2 diabetes

Daniele

Oliveira

Pompeu

et al. 2013

Arq Bras Endocrinol Metab

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Objective: To investigate associations between physical activity, comorbidity severity, depressive symptoms, and health-related quality of life in type 2 diabetes mellitus. Subjects and methods: All individuals, 200 patients and 50 controls, aged from 40 to 60 years, were investigated by interview, and all variables were measured concurrently. Physical activity was evaluated by the International Physical Activity Questionnaire (IPAQ), Health-Related Quality of Life (HRQL) by the Short-Form Health Survey (SF-36), comorbidity severity by the Charlson Comorbidity Index (CCI), and depressive symptoms by the Beck Depression Inventory (BDI-II ≥ 16). Single and multiple regression analysis evaluated the effects of independent variables on physical activity. Results: The patients had more depressive symptoms and greater comorbidity severity (p < 0.005). Diabetic patients showed better activity levels (IPAQ) (p < 0.005). Functional Capacity, General State of Health, and Physical Limitation were the most affected subscales in the SF-36 evaluation of the HRQL. Sedentary diabetic patients had higher waist circumference, waist-to-hip ratios, more depressive symptoms, and worse HRQL. Functional capacity (p = 0.000), followed by General State of Health (p = 0.02), were the health status measure subscales independently associated with physical activity. Conclusions: The findings suggest that increasing patient independence and treating depressive symptoms can promote physical activity for type 2 diabetes mellitus patients. It is suggested that group activities and caregivers/family support might compensate for the patient dependence, and increase adherence to exercise programs in those that are less active. Arq Bras Endocrinol Metab. 2013;57(1):44-50 Keywords Type 2 diabetes; physical activity; quality of life; depressive symptoms; functional capacity RESUMO Objetivo: Investigar as associações entre atividade física, gravidade das comorbidades, sintomas depressivos e qualidade de vida relacionada à saúde em pacientes com diabetes mellitus tipo 2. Sujeitos e métodos: Todos os indivíduos, 200 pacientes e 50 controles, com idades entre 40 e 60 anos, foram analisados por entrevistas, e todas as variáveis foram medidas neste mesmo momento. A atividade física foi avaliada pelo International Physical Activity Questionnaire (IPAQ); a qualidade de vida relacionada à saúde (QVRS), pelo Short-Form Health Survey (SF-36); a gravidade das comorbidades, pelo Índice de Comorbidade de Charlson (CCI); e os sintomas depressivos foram avaliados pelo Inventário de Depressão de Beck (BDI-II ≥ 16). A análise de regressão simples e múltipla avaliou os efeitos das variáveis independentes sobre a atividade física. Resultados: Os pacientes apresentaram mais sintomas depressivos e maior gravidade das comorbidades (p < 0,005). Os pacientes diabéticos apresentaram melhores níveis de atividade (IPAQ) (p < 0,005). A Capacidade Funcional, a Condição Geral de Saúde e a Limitação Física foram as subescalas mais afetadas na avaliação da QVRS no SF-36. Os ...

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Section: Outcome Measuresmentioning

confidence: 99%

Associations among physical activity, comorbidities, depressive symptoms and health-related quality of life in type 2 diabetes

Daniele

Oliveira

Pompeu

et al. 2013

Arq Bras Endocrinol Metab

View full text Add to dashboard Cite

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“…In a more recent study, however, it was found that non-medically trained raters and oncologists would have varying interpretations of comorbidity when assessing the same patient's medical records [6]. The Charlson Comorbidity Index (CCI) has been extensively studied and validated as a predictor of re-hospitalization [7], functional decline [8,9], and mortality in a number of populations [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Cumulative Illness Rating Scale (CIRS) can be Used to Predict Hospital Outcomes in Older Adults

Osborn¹

2017

J Geriatr Med Gerontol

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“…[31][32][33] In addition, risk adjustment models have been validated for predicting outcome across a broad range of patients with and without preexisting respiratory illnesses. [34][35][36][37][38][39][40] Because of the especially high risk inherent to worsening of acute respiratory compromise, data relevant to gas exchange and the need for respiratory support are particularly applicable. 41 Thorough assessment of severity and risk may require consideration of several different models.…”

Section: The Current Challenge Of Respiratory Compromisementioning

confidence: 99%

Respiratory Compromise as a New Paradigm for the Care of Vulnerable Hospitalized Patients

et al. 2017

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Acute respiratory compromise describes a deterioration in respiratory function with a high likelihood of rapid progression to respiratory failure and death. Identifying patients at risk for respiratory compromise coupled with monitoring of patients who have developed respiratory compromise might allow earlier interventions to prevent or mitigate further decompensation. The National Association for the Medical Direction of Respiratory Care (NAMDRC) organized a workshop meeting with representation from many national societies to address the unmet needs of respiratory compromise from a clinical practice perspective. Respiratory compromise may arise de novo or may complicate preexisting lung disease. The group identified distinct subsets of respiratory compromise that present similar opportunities for early detection and useful intervention to prevent respiratory failure. The subtypes were characterized by the pathophysiological mechanisms they had in common: impaired control of breathing, impaired airway protection, parenchymal lung disease, increased airway resistance, hydrostatic pulmonary edema, and right-ventricular failure. Classification of acutely ill respiratory patients into one or more of these categories may help in selecting the screening and monitoring strategies that are most appropriate for the patient's particular pathophysiology. Standardized screening and monitoring practices for patients with similar mechanisms of deterioration may enhance the ability to predict respiratory failure early and prevent its occurrence.

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Evaluation of comorbidity indices for inpatient mortality prediction models

Cited by 36 publications

References 17 publications

Associations among physical activity, comorbidities, depressive symptoms and health-related quality of life in type 2 diabetes

Associations among physical activity, comorbidities, depressive symptoms and health-related quality of life in type 2 diabetes

Cumulative Illness Rating Scale (CIRS) can be Used to Predict Hospital Outcomes in Older Adults

Respiratory Compromise as a New Paradigm for the Care of Vulnerable Hospitalized Patients

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