Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay.

SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality ). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly.

Background Prematurity (gestational age <37 completed weeks) accounts for the majority of neonatal deaths worldwide and most of these occur in the low-resource countries. Understanding factors that determine the best chances of preterm survival is imperative in order to enhance the care of neonates and reduce adverse outcomes in such complicated births. Aim This was to find out the proportions of preterm babies who survived at the Special Care Baby Unit (SCBU) in the Cape Coast Teaching Hospital (CCTH) and the factors which influenced their survival. Method This was a retrospective review of data on all the live preterm babies seen at the SCBU of CCTH from 2010 to 2019. Data on 2,254 babies that met the inclusion criteria were extracted. Descriptive statistics were generated and tests of association done with chi-square and multivariable logistic regression. Outcome The main outcome measure was the proportion of live preterm neonates who were discharged after SCBU admissions. Results The CCTH had a total of 27,320 deliveries from 2010 to 2019. Of these, 1,282 were live preterm births, giving a prevalence of live preterm babies over the ten-year period of 4.7% (1,282/27,320). An increasing trend in prevalence was observed with 2019 recording the highest at 9% (271/3027). Most (48.8%) of the deliveries were vaginal, 39.2% were by caesarean section (CS); the mode of birth for 12% of the women were not documented. The mean gestational age was 31.8 (±2.77) weeks. Of the birth weights documented, <1000g babies accounted for 11.9%, 1000–1499g babies made up 34.8%, while 1500g to 2499g babies accounted for 42.6%. The babies with weights >2500g made up only 3.7%. The average length of hospital stay was 8.3 (±9.88) days. Regarding the main outcome variable, 67.6% were discharged alive, 27.6% died and 4.9% were unaccounted for due to incomplete documentation. Factors which influenced survival were: birth weight (p <0.001); gestational age (p <0.001); mode and place of delivery (p <0.001 for both); APGAR scores at 1st and 5th minutes (p <0.001); and length of stay at the SCBU (p <0.001). No association was found for sex of the baby, maternal age and parity. Conclusion This study shows the possibility of achieving good preterm survival rates through the provision of specialised neonatal care, even in resource-constrained countries. This provides an updated benchmark for clinical decision-making and antenatal counselling. It also highlights the problem of inadequate data capture in our part of the world, which needs considerable improvement.

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Background For women living with HIV (WLHIV), the burden of persistent HPV infection, cervical pre-cancerous lesions and cancer have been demonstrated to be higher than among HIV-negative women. As Ghana and other lower-middle-income countries (LMIC) work toward developing national cervical cancer programmes, it is essential that local scientific evidence be provided to guide policy decisions, especially for such special populations. The objective of this study was to determine the distribution of high-risk HPV genotype and related factors among WLHIV and its implication for the prevention of cervical cancer prevention efforts. Methods A cross-sectional study was conducted at the Cape Coast Teaching Hospital in Ghana. WLHIV, aged 25–65 years, who met the eligibility criteria were recruited through a simple random sampling method. An interviewer-administered questionnaire was used to gather socio-demographic, behavioural, clinical and other pertinent information. The AmpFire HPV detection system (Atila BioSystem, Mointain View, CA was used to detect 15 high-risk HPV genotypes from self-collected cervico-vaginal samples. The data collected were exported to STATA 16.0 for statistical analysis. Results In all, 330 study participants, with mean age of 47.2 years (SD ± 10.7), were involved. Most (69.1%, n = 188/272) had HIV viral loads < 1000 copies/ml and 41.2% (n = 136) had ever heard of cervical screening. The overall hr-HPV prevalence was 42.7% (n = 141, 95% CI 37.4–48.1) and the five commonest hr-HPV types among screen positives were HPV59 (50.4%), HPV18 (30.5%), HPV35 (26.2%), HPV58 (17%) and HPV45 (14.9%). Most infected women (60.3%, n = 85) had multiple hr-HPV infections, with about 57.4% (n = 81) having 2–5 h-HPV types, while 2.8% (n = 4) had more than five hr-HPV types. A total of 37.6% (n = 53) had HPV16 and/or18, while 66.0% (n = 93) had the hr-HPV genotypes covered by the nonavalent vaccine. Women with HIV viral load ≥ 1000copies/ml (AOR = 5.58, 95% CI 2.89–10.78, p < 0.001) had a higher likelihood of being co-infected. Conclusion This study found out that the prevalence of hr-HPV still remains high in women with HIV, with a notable occurrence of multiple infections and infection with genotypes 16 and/or18. Additionally, an association was established between hr-HPV and infection HIV viral load.. Therefore, comprehensive HIV care for these women should include awareness of cervical cancer, consideration of vaccination and implementation of screening and follow-up protocols. National programmes in LMIC, such as Ghana, should consider using HPV-based screen-triage-treat approach with partial genotyping.