Trends in Adoption of Laparoscopic Appendicectomy in a Developing Country: Closing the Gap.

BACKGROUND: This study reviews our use of laparoscopic versus open appendicectomy over the last decade to track the trends in their usage in a middle-income country. METHODS: A retrospective study was conducted on patients with intraoperative confirmed acute appendicitis from January 2013 to December 2019 at Grey's Hospital, Pietermaritzburg, South Africa. RESULTS: Eight hundred fifty-one cases of AA were included. 724 (85%) patients underwent open surgery; 435 (60%) via a midline incision and 194 (27%) via a local incision. 127 (15%) patients underwent laparoscopic appendicectomy. A significant rend was noted for an increasing proportion of surgery performed by laparoscopy compared to open surgery (p = 0.02). Patients who underwent open surgery compared to laparoscopy presented with greater peritonism (48.5% vs. 28%, p < 0.001), delay from symptom onset (3 vs. 2 days, p < 0.001), more frequently from rural areas (94% vs. 86%, p = 0.002) and with higher AAST scores (46.7% AAST ≥ 4, vs. 14.9%, p < 0.001). This former group had significantly greater morbidity (42% vs. 35%, p < 0.001) with higher Clavien-Dindo scores, were more likely to require ICU admission (8.3% vs. 2.3%, p < 0.001) and have longer hospital stay (4 days vs. 2 days, p < 0.001); no statistically significant difference in mortality was observed (1.1% vs. 0.8%, p = 0.75). CONCLUSIONS: There has been a steady increase in the uptake of laparoscopic appendicectomy and decrease in open approaches in our centre. There is still a high rate of patients with advanced disease, and it is unlikely that this cohort will be suitable for laparoscopic surgery. If we hope to increase the uptake of laparoscopic surgery for acute appendicitis even further, we must focus on identifying patients with early and low-grade disease.

Development of a Clinical Prediction Model for In-hospital Mortality from the South African Cohort of the African Surgical Outcomes Study.

BACKGROUND: Data on the factors that influence mortality after surgery in South Africa are scarce, and neither these data nor data on risk-adjusted in-hospital mortality after surgery are routinely collected. Predictors related to the context or setting of surgical care delivery may also provide insight into variation in practice. Variation must be addressed when planning for improvement of risk-adjusted outcomes. Our objective was to identify the factors predicting in-hospital mortality after surgery in South Africa from available data. METHODS: A multivariable logistic regression model was developed to identify predictors of 30-day in-hospital mortality in surgical patients in South Africa. Data from the South African contribution to the African Surgical Outcomes Study were used and included 3800 cases from 51 hospitals. A forward stepwise regression technique was then employed to select for possible predictors prior to model specification. Model performance was evaluated by assessing calibration and discrimination. The South African Surgical Outcomes Study cohort was used to validate the model. RESULTS: Variables found to predict 30-day in-hospital mortality were age, American Society of Anesthesiologists Physical Status category, urgent or emergent surgery, major surgery, and gastrointestinal-, head and neck-, thoracic- and neurosurgery. The area under the receiver operating curve or c-statistic was 0.859 (95% confidence interval: 0.827-0.892) for the full model. Calibration, as assessed using a calibration plot, was acceptable. Performance was similar in the validation cohort as compared to the derivation cohort. CONCLUSION: The prediction model did not include factors that can explain how the context of care influences post-operative mortality in South Africa. It does, however, provide a basis for reporting risk-adjusted perioperative mortality rate in the future, and identifies the types of surgery to be prioritised in quality improvement projects at a local or national level.

Clinicopathological spectrum of colorectal cancer among the population of the KwaZulu-Natal Province in South Africa.

INTRODUCTION: the burden of colorectal carcinoma (CRC), once considered rare in Africa, may be changing with the disease being increasingly diagnosed and there is a suggestion that age and race influence tumour behaviour. We sought to describe the clinicopathological spectrum of CRC among the different race and age groups in a South African setting. METHODS: analysis of prospectively collected data from an on-going colorectal cancer database, including demographics, clinical presentation, site, staging and grading on all patients enrolled over an 18-year period. RESULTS: a total of 2232 patients with CRC were accrued over the study period (Africans, 798; Indians, 890; Coloureds, 104; and Whites, 440). Mean age was 57.7 (SD 14.4) but varied considerably by race (p < 0.001) with Africans being significantly younger. Young adults (aged < 40 years) totalled 305 and older patients (aged > 40 years) totalled 1927. The proportion of young patients (< 40 years old) was 28%, 7%, 9% and 3% among Africans, Indian, Coloured and White patients respectively. There were minimal variations in anatomical sub-site distribution. There was no difference in tumour stage between the various races and between older and young adults. Mucinous differentiation was more common in Africans and in young patients and poor differentiation was more common in African patients. Africans had a significantly lower resection rate compared to the other race groups (p < 0.001). Younger patients had a significantly lower resection rate compared to the older age group (p < 0.001). CONCLUSION: African patients were the youngest compared to the other race groups. Mucinous differentiation predominated in Africans and young adults. Poor differentiation predominated in Africans. Resection rate was lower for African patients and in young patients.