Health-Related Behaviours, HIV and Active Tuberculosis are Associated with Perioperative Adverse Events Following Emergency Laparotomy at a Tertiary Surgical Service in KwaZulu-Natal, South Africa

Identification of risk factors for postoperative pulmonary complications in general surgery patients in a low-middle income country

BACKGROUND

Postoperative pulmonary complications (PPCs) are an important cause of perioperative morbidity and mortality. Although risk factors for PPCs have been identified in high-income countries, less is known about PPCs and their risk factors in low- and middle-income countries, such as South Africa. This study examined the incidence of PPCs and their associated risk factors among general surgery patients in a public hospital in the province of KwaZulu-Natal, South Africa to inform future quality improvement initiatives to decrease PPCs in this clinical population.

METHODS

A retrospective secondary analysis of adult patients with general surgery admissions from January 1, 2013 to December 31, 2017 was conducted using data from the health system's Hybrid Electronic Medical Registry. The sample was comprised of 5352 general surgery hospitalizations. PPCs included pneumonia, atelectasis, acute respiratory distress syndrome, pulmonary edema, pulmonary embolism, prolonged ventilation, hemothorax, pneumothorax, and other respiratory morbidity which encompassed empyema, aspiration, pleural effusion, bronchopleural fistula, and lower respiratory tract infection. Risk factors examined were age, tobacco use, number and type of pre-existing comorbidities, emergency surgery, and number and type of surgeries. Bivariate and multivariable logistic regression models were conducted to identify risk factors for developing a PPC.

RESULTS

The PPC rate was 7.8%. Of the 418 hospitalizations in which a patient developed a PPC, the most common type of PPC was pneumonia (52.4%) and the mortality rate related to the PPC was 11.7%. Significant risk factors for a PPC were increasing age, greater number of comorbidities, emergency surgery, greater number of general surgeries, and abdominal surgery.

CONCLUSIONS

PPCs are common in general surgery patients in low- and middle-income countries, with similar rates observed in high-income countries. These complications worsen patient outcomes and increase mortality. Quality improvement initiatives that employ resource-conscious methods are needed to reduce PPCs in low- and middle-income countries.

Chronic Disease Comorbidities Among Injured Patients in Cameroon: A Retrospective Cohort Study

INTRODUCTION

Chronic diseases are increasing but underdiagnosed in low-income and middle-income countries (LMICs), where injury mortality is already disproportionately high. We estimated prevalence of known chronic disease comorbidities and their association with outcomes among injured patients in Cameroon.

MATERIALS AND METHODS

Injured patients aged ≥15 y presenting to four Cameroonian hospitals between October 2017 and January 2020 were included. Our explanatory variable was known chronic disease; prevalence was age-standardized. Outcomes were overall in-hospital mortality and admission or transfer from the emergency department (ED). Associations between known chronic disease and outcomes were evaluated using logistic regression adjusted for age, gender, estimated injury severity score (eISS), hospital, and household socioeconomic status. Unadjusted eISS-stratified and age-stratified outcomes were also compared via chi-squared tests.

RESULTS

Of 7509 injured patients, 370 (4.9%) reported at least one known chronic disease; age-standardized prevalence was 8.4% (95% confidence interval [CI] 7.5%-9.2%). Patients with known chronic disease had higher mortality (4.6% versus 1.5%, adjusted odds ratio [aOR]: 2.61 [95% CI: 1.25-5.47], P = 0.011) and were more likely to be admitted or transferred from the ED (38.7% versus 19.8%, aOR: 1.40 [95% CI: 1.02-1.92], P = 0.038) compared to those without known comorbidities. Crude differences in mortality (11.3% versus 3.3%, P = 0.002) and hospital admission or transfer (63.8% versus 46.6%, P = 0.011) were most notable for patients with eISS 16-24.

CONCLUSIONS

Despite underdiagnosis among Cameroonians, we demonstrated worse injury outcomes among those with known chronic diseases. Integrating chronic disease screening with injury care may help address underdiagnosis in Cameroon. Future work should assess whether chronic disease prevention in LMICs could improve injury outcomes.

Using Machine Learning to Establish Predictors of Mortality in Patients Undergoing Laparotomy for Emergency General Surgical Conditions

INTRODUCTION

Patients undergoing laparotomy for emergency general surgery (EGS) conditions, constitute a high-risk group with poor outcomes. These patients have a high prevalence of comorbidities. This study aims to identify patient factors, physiological and time-related factors, which place patients into a group at increased risk of mortality.

METHODOLOGY

In a retrospective analysis of all patients undergoing an emergency laparotomy at Greys Hospital from December 2012 to 2018, we used decision tree discrimination to identify high-risk groups.

RESULTS

Our cohort included 1461 patients undergoing a laparotomy for an EGS condition. The mortality rate was 12.4% (181). Nine hundred and ten patients (62.3%) had at least one known comorbidity on admission. There was a higher rate of comorbidities among those that died (154; 85.1%). Patient factors found to be associated with mortality were the age of 46 years or greater (p < 0.001), current tuberculosis (p < 0.001), hypertension (p = 0.014), at least one comorbidity (0.006), and malignancy (0.033). Significant physiological risk factors for mortality were base excess less than -6.8 mmol/L (p < 0.001), serum urea greater than 7.0 mmol/L (p < 0.001) and waiting time from admission to operation (p = 0.014). In patients with an enteric breach, those younger than 46 years and a Shock Index of more than 1.0 were high-risk. Patients without an enteric breach were high-risk if operative duration exceeded 90 min (p = 0.004) and serum urea exceeding 7 mmol/dl (p = 0.016).

CONCLUSION

In EGS patients, patient factors as well as physiological factors place patients into a high-risk group. Identifying a high-risk group should prompt consideration for an adjusted approach that ameliorates outcomes.