Unique ID issued by UMIN | UMIN000034455 |
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Receipt number | R000039274 |
Scientific Title | VALIDATION OF POSSUM, P-POSSUM AND THE SURGICAL RISK SCALE IN SURGICAL AUDIT OF PATIENTS UNDERGOING MAJOR GENERAL SURGICAL OPERATIONS IN HARARE. |
Date of disclosure of the study information | 2018/10/12 |
Last modified on | 2019/05/09 20:04:21 |
VALIDATION OF POSSUM, P-POSSUM AND THE SURGICAL RISK SCALE IN SURGICAL AUDIT OF PATIENTS UNDERGOING MAJOR GENERAL SURGICAL OPERATIONS IN HARARE.
VALIDATION OF POSSUM, P-POSSUM AND THE SURGICAL RISK SCALE IN AUDIT OF PATIENTS UNDERGOING MAJOR GENERAL SURGICAL OPERATIONS IN HARARE.
VALIDATION OF POSSUM, P-POSSUM AND THE SURGICAL RISK SCALE IN SURGICAL AUDIT OF PATIENTS UNDERGOING MAJOR GENERAL SURGICAL OPERATIONS IN HARARE.
VALIDATION OF POSSUM, P-POSSUM AND THE SURGICAL RISK SCALE IN AUDIT OF PATIENTS UNDERGOING MAJOR GENERAL SURGICAL OPERATIONS IN HARARE.
Africa |
Risk Scores
Surgery in general | Operative medicine |
Others
NO
To determine if there is any significant difference between calculated versus observed operative mortality and morbidity scores in Harare using POSSUM, P-POSSUM and SRS.
Others
To determine which preoperative and intraoperative risk factors have the greatest impact on mortality and morbidity.
Measuring actual 30 day Mortality and comparing it to the expected
Measuring actual30 day morbidity and comparing it to the expected.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
All General Surgery patients aged 18 years and above undergoing a minimum of a major surgical procedure
Patients below the age of 18 years.
Any patient managed conservatively.
Any patient operated by a registrar with less than 2 years of surgical training.
Day cases and any procedure categorised as minor.
More than 1 missing result.
Any patient requiring admission into a critical care unit post operatively but failed because of shortage of beds.
166
1st name | Allan |
Middle name | |
Last name | Ngulube |
University of Zimbabwe
Department of Surgery
+263
University of Zimbabwe , College of Health Sciences, Box A178 Mazowe Street Avondale, Harare, Zimbabwe
+263773364652
drngulube@gmail.com
1st name | Allan |
Middle name | |
Last name | Ngulube |
University of Zimbabwe
Department of Surgery
+263
University of Zimbabwe , College of Health Sciences, Box A178 Mazowe Street Avondale, Harare, Zimbab
+263773364652
drngulube@gmail.com
Allan Ngulube
University of Zimbabwe
Department of Surgery
Allan Ngulube
Self funding
Zimbabwean
Medical Research Council of Zimbabwe (MRCZ)
Cnr Josiah Tongogara / Mazowe St. Harare Zimbabwe
+263784956128
mrcz@mrcz.org.zw
NO
Parirenyatwa Group Of Hospitals(Harare), Harare Central Hospital(Harare)
2018 | Year | 10 | Month | 12 | Day |
N/A
Published
https://reader.elsevier.com/reader/sd/pii/S2049080119300196?token=6589675DFCBA53286DF99F1D74B8CCA802
201
891kb
2019 | Year | 05 | Month | 09 | Day |
2019 | Year | 03 | Month | 24 | Day |
A prospective observational cohort study was done with a minimumsample size of 166 using the Dobson formula. The study was conductedat Parirenyatwa Group of Hospitals (PGH) and Harare Central Hospital(HCH) over a 9 month period from January to September of 2015. Thestudy included all consecutively admitted patients aged 18 years andabove undergoing at least a major general surgical procedure as definedby the British United Provident Association , with timing ranging from elective to emergency. Patients were excluded if below the age of18 years, if managed conservatively, if it was a day case or any pro-cedure categorized as minor and any case falling outside the scope ofgeneral surgery. Those also excluded were patients with more than 1 missing result or those requiring admission into a critical care unit postoperatively but failed because of shortage of beds and those operated by surgical trainees with less than 2 years experience.
Using a predesigned data collection tool, results from investigations done immediately preoperatively plus operative findings and post op-erative histology were collected. Complications, as defined by Copeland et al, were recorded as observed by the attending surgeons with confirmatory tests where necessary. Patients were followed up for amonth in Outpatients Department (OPD) and a follow up phone call was done for those not available for review. The actual calculation for the risk scores was done with a computer program utilising the stated formulae . The calculated risk scores for individual patients were stratified according to magnitude then compared with the actual observed number of mortalities or morbidities in each category with Chi-Square as a test for significance at 95% significance. Regression analysis of risk factors contributing to mortality and morbidity was also done with appropriate calculations for significance testing using statistical software
No adverse events accrued from participarting in the study as the study was observational
Mortality and Morbidity related to the procedures the patients were going through were the outcome measures compared to the calculated mortality and morbidity
Completed
2015 | Year | 01 | Month | 13 | Day |
2015 | Year | 01 | Month | 13 | Day |
2015 | Year | 01 | Month | 14 | Day |
2015 | Year | 09 | Month | 30 | Day |
2015 | Year | 10 | Month | 15 | Day |
2015 | Year | 10 | Month | 30 | Day |
2016 | Year | 01 | Month | 31 | Day |
After a 30 day follow up in outpatients, 35 out of 181 patients had died of surgery related problems.
2018 | Year | 10 | Month | 12 | Day |
2019 | Year | 05 | Month | 09 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000039274
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