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Home > Incidence and Risk Factors for Acute Myocardial Injury After Non-Cardiac Surgery at the Aga Khan University Hospital Nairobi

Incidence and Risk Factors for Acute Myocardial Injury After Non-Cardiac Surgery at the Aga Khan University Hospital Nairobi

Thesis Info

Author

Salim Said Ahmed

Department

Internal Medicine (East Africa)

Program

MMed

Institute

Aga Khan University

Institute Type

Private

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2014

Thesis Completion Status

Completed

Subject

Medicine

Language

English

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676728054266

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Aim: To determine the incidence and risk factors for acute myocardial injury after non-cardiac surgery at Aga Khan University Hospital Nairobi. Design: Prospective cohort study Background: Myocardial injury is the most common major cardiovascular complication in patients undergoing non-cardiac surgery. Large numbers of intermediate-risk and high-risk cardiac patients will be undergoing surgery as the population grows older, and thus myocardial injury after non-cardiac surgery could be a rising problem. Patients and Setting: Adult participants undergoing intermediate and high risk non-cardiac surgery at the Aga Khan University Hospital Nairobi were evaluated for incidence and risk factors for myocardial injury after non-cardiac surgery. Methodology: The study was conducted over 5 months and recruited eligible participants who were scheduled to undergo intermediate and high risk non-cardiac surgery. Their age, gender, height, weight, blood pressure, random blood sugar, haemoglobin, creatinine were assessed preoperatively and later on, an electrocardiogram as well as highly sensitive cardiac troponin T were measured 24 hours postoperatively. Results: 128 participants were evaluated for the incidence and risk factors for myocardial injury after non-cardiac surgery in this study. Of these, 87.5% underwent intermediate surgery. None of the participants developed ischemic chest pain. 21% had electrocardiographic changes; 12% had T-wave inversion, 9% had ST-depression and none had ST-elevation or new left bundle branch block. 25% of the participants had elevated troponin (>14ng/ml) but only 12.5% had a significantly elevated troponin (>50ng/ml). The odds ratio for hypertension, diabetes, elevated random blood sugar were 19.9(95% confidence interval, 1.1-340.2), 11.5(95% confidence interval, 3.6-37.1) and 2.6(95% confidence interval, 1.8- 3.9) respectively. Conclusion: The incidence of acute myocardial injury after high and intermediate risk non-cardiac surgery at the Aga Khan University Nairobi is 12.5%. Hypertension, diabetes and elevated random blood sugar significantly increase the risk of developing acute myocardial injury after high and intermediate risk non-cardiac surgery.
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Regional Taxes and Levies Contribution to the Increase of Regional Original Income

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Foot Dimensions As a Tool for Gender Determination in Kenyan Adults

Introduction: Anthropometry has gained popularity over the years as a reliable method to determine gender. In forensic investigation, there are cases where gender cannot be readily determined using anatomy such as in mass casualty disasters with dismemberment and commingling of limbs. Kenyan descriptive data of foot dimensions is lacking as are formulae for estimating gender. Proven differences in foot dimensions across races prevent application of formula obtained using different populations necessitating generation of local data and formulae. Objectives: To describe the foot lengths, breaths and navicular heights of a representative adult Kenyan population, both male and female, and derive from these a formula to estimate gender. Material and Methods: Foot lengths, breadths and navicular heights were taken using callipers from a representative adult Kenyan population. These measurements were then subsequently used to derive a formula for determining gender by use of discriminant function analysis. Results: Mean foot lengths were 271.60 mm and 272.32 mm for men and 235.16 mm and 234.75 mm for women, right and left respectively. Mean foot breadths were 103.77 mm and 102.72 mm for men and for 88.67 mm and 88.69 mm women, right and left respectively. Foot navicular heights were 71.06 mm and 70.80 mm for men and 61.54 mm and 62.55 mm for women, right and left respectively. T-tests were used to compare these means across gender, all differences were statistically significant, p≤0.00001. A formula to estimate gender via discriminant function analysis was obtained. The formula correctly determined gender in 100% of the cases within this study. Conclusion: Formulae developed from foot dimensions can be used to predict gender in forensic investigations.