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      Mortality risk factors during readmission at the Department of Medicine


      Therapeutics and Clinical Risk Management

      Dove Medical Press

      readmission, mortality, predictors

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          Readmission is an indicator of quality of inpatient care. A study from Hong Kong found readmission mortality rate to be 5.1%. There are limited reports on risk factors for mortality other than co-morbid diseases in readmission patients. This study, thus, aims to evaluate risk factors for mortality during readmission.


          This study was conducted at a university hospital in Thailand. The inclusion criteria were patients aged ≥15 years and readmission to internal medicine wards within 28 days after discharge. The outcome of the study was death during readmission. Risk factors for readmission mortality were analyzed using multivariate logistic regression analysis.


          There were 10,389 admissions to the Department of Medicine, Khon Kaen University, of which 407 required readmission (3.90%). Of those patients, 75 (18.43%) died during readmission. There were 6 independent factors associated with death in patients who were readmitted, including advanced age (>60 years), presence of more than 2 co-morbid diseases, admission duration of >14 days, fever at previous discharge, low hemoglobin (<12 g/dL), and having undergone over 5 procedures.


          Older age, co-morbid diseases, readmission duration, presence of low hemoglobin at previous discharge, and numbers of procedures at readmission were significantly associated with increased mortality risk for readmission patients.

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          Most cited references 11

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          Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model.

          Because effective interventions to reduce hospital readmissions are often expensive to implement, a score to predict potentially avoidable readmissions may help target the patients most likely to benefit. To derive and internally validate a prediction model for potentially avoidable 30-day hospital readmissions in medical patients using administrative and clinical data readily available prior to discharge. Retrospective cohort study. Academic medical center in Boston, Massachusetts. All patient discharges from any medical services between July 1, 2009, and June 30, 2010. Potentially avoidable 30-day readmissions to 3 hospitals of the Partners HealthCare network were identified using a validated computerized algorithm based on administrative data (SQLape). A simple score was developed using multivariable logistic regression, with two-thirds of the sample randomly selected as the derivation cohort and one-third as the validation cohort. Among 10 731 eligible discharges, 2398 discharges (22.3%) were followed by a 30-day readmission, of which 879 (8.5% of all discharges) were identified as potentially avoidable. The prediction score identified 7 independent factors, referred to as the HOSPITAL score: h emoglobin at discharge, discharge from an o ncology service, s odium level at discharge, p rocedure during the index admission, i ndex t ype of admission, number of a dmissions during the last 12 months, and l ength of stay. In the validation set, 26.7% of the patients were classified as high risk, with an estimated potentially avoidable readmission risk of 18.0% (observed, 18.2%). The HOSPITAL score had fair discriminatory power (C statistic, 0.71) and had good calibration. This simple prediction model identifies before discharge the risk of potentially avoidable 30-day readmission in medical patients. This score has potential to easily identify patients who may need more intensive transitional care interventions.
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            Patients readmitted to ICUs* : a systematic review of risk factors and outcomes.

            To evaluate the causes, risk factors, and mortality rates associated with unexpected readmission to medical and surgical ICUs. MEDLINE citation review of primary articles focusing on ICU readmission or ICU outcomes from January 1966 to June 1999, and contact with authors of primary studies. Eight primary studies of ICU readmission and eight multi-institutional ICU outcome studies that reported ICU readmission rates were included. We abstracted data on the methodology and design of the primary studies, overall rates, causes, predictors, outcomes, and measures of quality of care associated with ICU readmission. The average ICU readmission rate of 7% (range, 4 to 14%) has remained relatively unchanged in both North America and Europe. Respiratory and cardiac conditions were the most common (30 to 70%) precipitating cause of ICU readmission. Patients readmitted to ICUs had average hospital stays at least twice as long as nonreadmitted patients. Hospital death rates were 2- to 10-times higher for readmitted patients than for those who survived an ICU admission and were never readmitted. Predictors of ICU readmission have been neither well studied nor reproducible. Unstable vital signs, especially respiratory and heart rate abnormalities, and the presence of poor pulmonary function at time of ICU discharge appear to be the most consistent predictors of ICU readmission. There were no consistent data supporting the use of readmission rates as a measure of quality of care. ICU readmission is associated with dramatically higher hospital mortality. Unstable vital signs at the time of ICU discharge are the most consistent predictor of ICU readmission. Further studies focusing on processes of ICU and hospital care are needed to determine if ICU readmission rates are a measure of quality of care.
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              Recurrent readmissions in medical patients: a prospective study.

               R Bell,  Grad Epi,  A Mudge (2011)
              Hospital readmissions are common and costly. A recent previous hospitalization preceding the index admission is a marker of increased risk of future readmission. To identify factors associated with an increased risk of recurrent readmission in medical patients with 2 or more hospitalizations in the past 6 months. Prospective cohort study. Australian teaching hospital acute medical wards, February 2006-February 2007. 142 inpatients aged ≥ 50 years with a previous hospitalization ≤ 6 months preceding the index admission. Patients from residential care, with terminal illness, or with serious cognitive or language difficulties were excluded. Demographics, previous hospitalizations, diagnosis, comorbidities and nutritional status were recorded in hospital. Participants were assessed at home within 2 weeks of hospital discharge using validated questionnaires for cognition, literacy, activities of daily living (ADL)/instrumental activities of daily living (IADL) function, depression, anxiety, alcohol use, medication adherence, social support, and financial status. Unplanned readmission to the study hospital within 6 months. A total of 55 participants (38.7%) had a further unplanned hospital admission within 6 months. In multivariate analysis, chronic disease (adjusted odds ratio [OR] 3.4; 95% confidence interval [CI], 1.3-9.3, P = 0.002), depressive symptoms (adjusted OR, 3.0; 95% CI, 1.3-6.8, P = 0.01), and underweight (adjusted OR, 12.7; 95% CI, 2.3-70.7, P = 0.004) were significant predictors of readmission after adjusting for age, length of stay and functional status. In this high-risk patient group, multiple chronic conditions are common and predict increased risk of readmission. Post-hospital interventions should consider targeting nutritional and mood status in this population. Copyright © 2010 Society of Hospital Medicine.

                Author and article information

                Ther Clin Risk Manag
                Ther Clin Risk Manag
                Therapeutics and Clinical Risk Management
                Therapeutics and Clinical Risk Management
                Dove Medical Press
                05 December 2017
                : 13
                : 1551-1554
                Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
                Author notes
                Correspondence: Anakapong Phunmanee, Department of Medicine, Faculty of Medicine, Khon Kaen University, 123 Mitraparp Road, Khon Kaen, 40002, Thailand, Tel +66 4 336 3664, Fax +66 4 334 8399, Email anakapong@ 123456kku.ac.th
                © 2017 Trakulthong and Phunmanee. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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                predictors, mortality, readmission


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