scholarly journals Nutritional status significantly affects hospital length of stay among surgical patients in public hospitals of Northern Ethiopia: single cohort study

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Mulugeta Woldu Abrha ◽  
Oumer Seid ◽  
Kidanu Gebremariam ◽  
Amha Kahsay ◽  
Haftom Gebrehiwot Weldearegay
Keyword(s):  
Cohort Study ◽  
Length Of Stay ◽  
Nutritional Status ◽  
Hospital Length ◽  
Public Hospitals ◽  
Hospital Length Of Stay ◽  
Surgical Patients ◽  
Northern Ethiopia ◽  
Single Cohort

scholarly journals Length of stay in surgical patients: nutritional predictive parameters revisited

2012 ◽  
Vol 109 (2) ◽  
pp. 322-328 ◽  
Author(s):  
Ana Isabel Almeida ◽  
Marta Correia ◽  
Maria Camilo ◽  
Paula Ravasco
Keyword(s):  
Weight Loss ◽  
Length Of Stay ◽  
Nutritional Status ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Nutritional Risk ◽  
Surgical Patients ◽  
Anthropometric Parameters ◽  
Predictive Parameters ◽  
Nrs 2002

Nutritional evaluation may predict clinical outcomes, such as hospital length of stay (LOS). We aimed to assess the value of nutritional risk and status methods, and to test standard anthropometry percentilesv.the 50th percentile threshold in predicting LOS, and to determine nutritional status changes during hospitalisation and their relation with LOS. In this longitudinal prospective study, 298 surgical patients were evaluated at admission and discharge. At admission, nutritional risk was assessed by Nutritional Risk Screening-2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST) and nutritional status by Subjective Global Assessment (SGA), involuntary % weight loss in the previous 6 months and anthropometric parameters; % weight loss and anthropometry were reassessed at discharge. At admission, risk/undernutrition results by NRS-2002 (P< 0·001), MUST (P< 0·001), % weight loss (P< 0·001) and SGA (P< 0·001) were predictive of longer LOS. A mid-arm circumference (MAC) or a mid-arm muscle circumference (MAMA) under the 15th and the 50th percentile, which was considered indicative of undernutrition, did predict longer LOS (P< 0·001); conversely, there was no association between depleted triceps skinfold (TSF) and longer LOS. In-hospital, there was a high prevalence of weight, muscle and fat losses, associated with longer LOS. At discharge, patients with a simultaneous negative variation in TSF+MAC+MAMA (n158, 53 %) had longer LOS than patients with a TSF+MAC+MAMA positive variation (11 (8–15)v.8 (7–12) d,P< 0·001). We concluded that at risk or undernutrition evaluated by all methods, except TSF and BMI, predicted a longer LOS. Moreover, MAC and MAMA measurements and their classification according to the 50th percentile threshold seem reliable undernutrition indicators.

10th paediatric nutrition week (2019) – influence of the previous nutritional status on hospital length of stay in children

2020 ◽  
Vol 40 ◽  
pp. 577
Author(s):  
V. Raoult ◽  
D. Guimber ◽  
N. Peretti ◽  
H. Piloquet ◽  
R. Hankard ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Nutritional Status ◽  
Hospital Length ◽  
Hospital Length Of Stay

scholarly journals Incidence of delirium in the Canadian emergency department and its consequences on hospital length of stay: a prospective observational multicentre cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e018190 ◽  
Author(s):  
Marcel Émond ◽  
Valérie Boucher ◽  
Pierre-Hugues Carmichael ◽  
Philippe Voyer ◽  
Mathieu Pelletier ◽  
...  
Keyword(s):  
Older Adults ◽  
Emergency Department ◽  
Cohort Study ◽  
Length Of Stay ◽  
Hospital Length ◽  
Cognitive Status ◽  
Hospital Ward ◽  
Hospital Length Of Stay ◽  
Multicentre Cohort Study ◽  
Multicentre Cohort

ObjectiveWe aim to determine the incidence of delirium and describe its impacts on hospital length of stay (LOS) among non-delirious community-dwelling older adults with an 8-hour exposure to the emergency department (ED) environment.DesignThis is a prospective observational multicentre cohort study (March–July 2015). Patients were assessed two times per day during their entire ED stay and up to 24 hours on hospital ward.SettingThe study took place in four Canadian EDs.Participants338 included patients: (1) aged ≥65 years; (2) who had an ED stay ≥8 hours; (3) were admitted to hospital ward and (4) were independent/semi-independent.Main outcome(s) and measure(s)The primary outcomes of this study were incident delirium in the ED or within 24 hours of ward admission and ED and hospital LOS. Functional and cognitive status were assessed using validated Older Americans Resources and Services and the modified Telephone Interview for Cognitive Status tools. The Confusion Assessment Method was used to detect incident delirium. Univariate and multivariate analyses were conducted to evaluate outcomes.ResultsMean age was 76.8 (±8.1), 17.7% were aged >85 years old and 48.8% were men. The mean incidence of delirium was 12.1% (n=41). Median IQR ED LOS was 32.4 (24.5–47.9) hours and hospital LOS was 146.6 (75.2–267.8) hours. Adjusted mean hospital LOS was increased by 105.4 hours (4.4 days) (95% CI 25.1 to 162.0, P<0.001) for patients who developed an episode of delirium compared with non-delirious patient.ConclusionsAn incident delirium was observed in one of eight independent/semi-independent older adults after an 8-hour ED exposure. An episode of delirium increases hospital LOS by 4 days and therefore has important implications for patients and could contribute to ED overcrowding through a deleterious feedback loop.

scholarly journals Validation of population-specific Mini-Nutritional Assessment with its long-term mortality-predicting ability: results of a population-based longitudinal 4-year study in Taiwan

2010 ◽  
Vol 104 (1) ◽  
pp. 93-99 ◽  
Author(s):  
Alan C. Tsai ◽  
Shu-Fang Yang ◽  
Jiun-Yi Wang
Keyword(s):  
Life Satisfaction ◽  
Length Of Stay ◽  
Nutritional Status ◽  
Mortality Risk ◽  
Nutritional Assessment ◽  
Mini Nutritional Assessment ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Nutritional Screening ◽  
Screening Assessment

Nutrition is a key element in geriatric health, and nutritional screening/assessment is a key component of comprehensive geriatric evaluation. The study aimed to validate the Mini Nutritional Assessment Taiwan version-1 (MNA-T1) which adopted population-specific anthropometric cut-points, and version-2 (MNA-T2) which replaced BMI with mid-arm and calf circumferences in the scale for predicting the nutritional status of elderly Taiwanese. Using data of a population-representative longitudinal study of 2802 Taiwanese aged 65 years or older, the study graded the nutritional status of each subject with the original and both modified versions at baseline, analysed their hospital length of stay, the Activities of Daily Living (ADL), the Center for Epidemiologic Studies Depression Scale (CES-D) and life-satisfaction scores at baseline and end of 4 years, and tracked their survival during the period. Results showed that both modified versions had superior predictive abilities compared with the original MNA, and their graded scores correlated better with hospital length of stay, and ADL, CES-D and life-satisfaction scores. Both modified versions were effective in predicting follow-up mortality risk. The relative mortality risk was about 7 times for those rated malnourished and 2·5 times for those rated at risk of malnutrition compared with those who were rated normal at baseline by the two modified versions. These results suggest that both of the modified versions are effective in predicting the nutrition and health statuses of Taiwanese elderly and would serve to validate the predictive ability of the two modified versions. The MNA-T2, which requires no BMI, can make routine nutritional screening/assessment an easier task.

scholarly journals Does service heterogeneity have an impact on acute hospital length of stay in stroke? A UK-based multicentre prospective cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e024506 ◽  
Author(s):  
Michelle Tørnes ◽  
David McLernon ◽  
Max Bachmann ◽  
Stanley Musgrave ◽  
Elizabeth A Warburton ◽  
...  
Keyword(s):  
Cohort Study ◽  
Length Of Stay ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Multiple Linear Regression Model ◽  
Hospital Length ◽  
Acute Hospital ◽  
Hospital Length Of Stay ◽  
Secondary Outcome ◽  
Hospital Level

ObjectivesTo determine whether stroke patients’ acute hospital length of stay (AHLOS) varies between hospitals, over and above case mix differences and to investigate the hospital-level explanatory factors.DesignA multicentre prospective cohort study.SettingEight National Health Service acute hospital trusts within the Anglia Stroke & Heart Clinical Network in the East of England, UK.ParticipantsThe study sample was systematically selected to include all consecutive patients admitted within a month to any of the eight hospitals, diagnosed with stroke by an accredited stroke physician every third month between October 2009 and September 2011.Primary and secondary outcome measuresAHLOS was defined as the number of days between date of hospital admission and discharge or death, whichever came first. We used a multiple linear regression model to investigate the association between hospital (as a fixed-effect) and AHLOS, adjusting for several important patient covariates, such as age, sex, stroke type, modified Rankin Scale score (mRS), comorbidities and inpatient complications. Exploratory data analysis was used to examine the hospital-level characteristics which may contribute to variance between hospitals. These included hospital type, stroke monthly case volume, service provisions (ie, onsite rehabilitation) and staffing levels.ResultsA total of 2233 stroke admissions (52% female, median age (IQR) 79 (70 to 86) years, 83% ischaemic stroke) were included. The overall median AHLOS (IQR) was 9 (4 to 21) days. After adjusting for patient covariates, AHLOS still differed significantly between hospitals (p<0.001). Furthermore, hospitals with the longest adjusted AHLOS’s had predominantly smaller stroke volumes.ConclusionsWe have clearly demonstrated that AHLOS varies between different hospitals, and that the most important patient-level explanatory variables are discharge mRS, dementia and inpatient complications. We highlight the potential importance of stroke volume in influencing these differences but cannot discount the potential effect of unmeasured confounders.

Agency for Healthcare Research and Quality Patient Safety Indicators and Mortality in Surgical Patients

2014 ◽  
Vol 80 (8) ◽  
pp. 801-804 ◽  
Author(s):  
Rajesh Ramanathan ◽  
Patricia Leavell ◽  
Luke G. Wolfe ◽  
Therese M. Duane
Keyword(s):  
Patient Safety ◽  
Length Of Stay ◽  
Medical Center ◽  
Academic Medical Center ◽  
Hospital Length ◽  
Healthcare Research ◽  
Hospital Length Of Stay ◽  
Surgical Patients ◽  
Patient Safety Indicators ◽  
Academic Medical

Patient safety indicators (PSI), developed by the Agency for Healthcare Research and Quality, use administrative billing data to measure and compare patient safety events at medical centers. We retrospectively examined whether PSIs accurately reflect patients’ risk of mortality, hospital length of stay, and intensive care unit (ICU) requirements at an academic medical center. Surgical patient records with PSIs were reviewed between October 2011 and September 2012 at our urban academic medical center. Primary outcomes studied included mortality, hospital length of stay, and ICU requirements. Subset analysis was performed for each PSI and its association with the outcome measures. PSIs were more common among surgical patients who died as compared with those alive at discharge (35.3 vs 2.7 PSIs/100 patients, P < 0.01). Although patients who died with PSIs had shorter hospital courses, they had a significantly greater ICU requirement than those without a PSI (96.0 vs 61.1%, P < 0.01) and patients who were alive at discharge (96.0 vs 48.0%, P < 0.01). The most frequently associated PSIs with mortality were postoperative metabolic derangements (41.7%), postoperative sepsis (38.5%), and pressure ulcers (33.3%). PSIs occur at a higher frequency in surgical patients who die and are associated with increased ICU requirements.

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