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Trial registered on ANZCTR

Registration number
Ethics application status
Date submitted
Date registered
Date last updated
Type of registration
Prospectively registered

Titles & IDs
Public title
Early and late predictors of hospital readmissions and whether nutrition status helps predict hospital readmissions
Scientific title
Predictors of very early and late readmissions in medical patients and whether Malnutrition universal screening tool (MUST) score can predict hospital readmissions
Secondary ID [1] 292941 0
Universal Trial Number (UTN)
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Hospital readmissions 304828 0
Malnutrition 304829 0
Readmission prediction tools 304830 0
Medical inpatients 304831 0
Condition category
Condition code
Diet and Nutrition 304130 304130 0 0
Other diet and nutrition disorders
Public Health 304131 304131 0 0

Study type
Patient registry
Target follow-up duration
Target follow-up type
Description of intervention(s) / exposure
A retrospective observational study looking into predictors of hospital readmissions within six months of discharge in medical patients and whether nutrition status predicts hospital readmissions
Intervention code [1] 299174 0
Diagnosis / Prognosis
Intervention code [2] 299175 0
Early Detection / Screening
Comparator / control treatment
No control group
Control group

Primary outcome [1] 303451 0
This is an exploratory outcome to predict factors which can predict hospital readmissions.
Timepoint [1] 303451 0
Within seven days, thirty days and six months following hospital discharge.
Secondary outcome [1] 338955 0
Whether nutrition status, as determined by Malnutrition Universal Screening Tool (MUST) score, at time of admission improves prediction power of existing readmission prediction tools.
Timepoint [1] 338955 0
Within seven days, thirty days and six months of hospital discharge.

Key inclusion criteria
All medical inpatients admitted between 1st January 2016 to 31 st December 2016
Minimum age
18 Years
Maximum age
No limit
Both males and females
Can healthy volunteers participate?
Key exclusion criteria
Surgical and Gynaecology patients and patients less than 18 years of age.

Study design
Defined population
Statistical methods / analysis
The variables will be assessed for normality using skewness and kurtosis test. Data will be presented as mean (SD) or median (IQR). Categorical variables will be expressed as frequency and percent and compared using Pearson’s x2 or Fisher’s exact test as appropriate.
Univariate logistic regression will be used to assess the association between nutritional status and unplanned readmission within 7 days, 30 days and 180 days post-discharge. Multivariate logistic regression analysis will be used to test the relationship between readmissions and nutrition status at different time points and will be adjusted for other variables-age, gender, Charlson index, principal diagnosis at presentation, number of medications at admission, length of hospital stay, number of medical emergency response team calls during index admission and total number of hours spent in intensive care unit (ICU). Variance inflation factor and tolerance values will be used to detect collinearity between variables included in the model. A link test will be used to confirm that the linear approach to model the outcome is correct. Model fit will be assessed using the Hosmer-Lemeshow goodness-of–fit test. Kaplan Meier survival curve will be plotted from time of discharge to the first endpoint (readmission) and Log rank test will be utilized used to compare survival proportions in the nourished and malnourished groups. A two-sided p<0.05 will be considered to indicate statistical significance. All analysis will be performed using STATA version 15.0 (StataCorp, College Station, Texas, USA).

Recruitment status
Not yet recruiting
Date of first participant enrolment
Date of last participant enrolment
Date of last data collection
Sample size
Accrual to date
Recruitment in Australia
Recruitment state(s)
Recruitment hospital [1] 9083 0
Flinders Medical Centre - Bedford Park
Recruitment hospital [2] 9084 0
The Royal Adelaide Hospital - Adelaide
Recruitment postcode(s) [1] 17576 0
5042 - Bedford Park
Recruitment postcode(s) [2] 17577 0
5000 - Adelaide

Funding & Sponsors
Funding source category [1] 297567 0
Name [1] 297567 0
Flinders Medical Centre
Address [1] 297567 0
Flinders Drive
Bedford Park
South Australia 5042
Country [1] 297567 0
Primary sponsor type
Flinders Medical Centre
Flinders Drive
Bedford Park
South Australia 5042
Secondary sponsor category [1] 296581 0
Name [1] 296581 0
Address [1] 296581 0
Country [1] 296581 0

Ethics approval
Ethics application status
Ethics committee name [1] 298662 0
Southern Adelaide Clinical Human Research Ethics Committee
Ethics committee address [1] 298662 0
Flinders Medical Centre
Room 6A219
Flinders Drive
Bedford Park
South Australia 5042
Ethics committee country [1] 298662 0
Date submitted for ethics approval [1] 298662 0
Approval date [1] 298662 0
Ethics approval number [1] 298662 0

Brief summary
Hospital readmissions are common and are risky for the patients and imposes additional financial burden on already constrained health care resources. Although numerous readmission predictor tools have been developed their ability to accurately identify patients at high risk of unplanned readmissions is only modest. Experts believe that this could be due to unknown variables, which needs to be identified. Majority of studies predicting hospital readmissions have so far been carried out in United States and only limited studies are available in Australia. Moreover, these studies are centred on 30-day readmission rate, as this is a commonly used benchmark to reimburse hospitals in US. The present study aims to study predictors, which can influence very early and late readmissions in medical inpatients and whether nutrition status as determined by Malnutrition universal screening tool (MUST) can be used as a predictor of hospital readmissions.
Trial website
Trial related presentations / publications
Public notes

Principal investigator
Name 77810 0
Dr Yogesh Sharma
Address 77810 0
Level 6
General Medicine
Flinders Medical Centre
Flinders Drive
Bedford Park
South Australia 5042
Country 77810 0
Phone 77810 0
Fax 77810 0
Email 77810 0
Contact person for public queries
Name 77811 0
Dr Yogesh Sharma
Address 77811 0
Level 6
General Medicine
Flinders Medical Centre
Flinders Drive
Bedford Park
South Australia 5042
Country 77811 0
Phone 77811 0
Fax 77811 0
Email 77811 0
Contact person for scientific queries
Name 77812 0
Dr Yogesh Sharma
Address 77812 0
Level 6
General Medicine
Flinders Medical Centre
Flinders Drive
Bedford Park
South Australia 5042
Country 77812 0
Phone 77812 0
Fax 77812 0
Email 77812 0

No information has been provided regarding IPD availability
Summary results
No Results