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.

Introduction:Benign prostrate hyperplasia (BPH) is a leading source of healthcare problem in aging men around the world including India. Both International Prostate Symptom Score (IPSS) and New Visual Prostate Symptom Score (VPSS) are used to assess the lower urinary tracts symptoms (LUTSs) in men. The present study was planned to compare these two scores, IPSS and VPSS in Indian rural men prospectively and their efficacy was compared with urodynamic evaluation of the patients.Materials and Methods:With Institutional Ethical Committee approval, this study was conducted on 100 patients having LUTS and BPH after obtaining written informed consent. Patients’ educational status was noted. All the patients were requested to complete the IPSS and VPSS questionnaire, and they were correlated. The urodynamic study was performed on all the patients with uroflowmeter. Two parameters of uroflowmetry, Qmax (maximum urine flow rate expressed in ml/s) and Qavrg (average urine flow rate expressed in ml/s) were measured and correlated.Results:Most of the patients (55%) in this study were uneducated. Out of 100 patients, 83% were able to fill the VPSS questionnaire without assistance as compared to only 40% patients in IPSS questionnaire (Z = 6.557, P < 0.001). There was a positive correlation between IPSS and VPSS total score in this study (r = 0.453 and P ≤ 0.001). It was noticed that IPSS Question 2 for frequency of urination had a positive correlation with VPSS Question 1 (day time frequency of urination) r = 0.645 (P = 0.000). Similarly, IPSS Question 7 for night frequency when compared with VPSS Question 2 (nocturia); the value for r was found to be 0.536 (P = 0.000). The IPSS Question 5 for straining when compared to the VPSS Question 3, i.e., the question for the strength of stream during micturition; the positive correlation was found to be 0.266 (P = 0.007). There was a negative correlation between IPSS total score and Qavrg with value − 0.368 (P = 0.000) and between IPSS total score and Qmax of − 0.433 (P = 0.000). A negative correlation is also noted between VPSS total score and Qavrg of value 0.497 (P = 0.000) and VPSS total score and Qmax of value − 0.719 (P = 0.000).Conclusion:VPSS correlates significantly with the IPSS to quantify the LUTS due to BPH. The VPSS can be used instead of the IPSS for the assessment of symptom severity in men with LUTS, who are illiterate or have limited education.

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Acute kidney injury (AKI) is a common complication after acute stroke. Multiple additional risk factors are also responsible for development of AKI during acute stroke. This cross sectional observational study was conducted with a total of 240 newly detected computed tomography (CT) confirmed acute stroke patients in Mymensingh Medical College Hospital with an aim to find out the incidence and risk factors of AKI in acute stroke. In this study, AKI developed in 15.42% of all types of acute stroke and more commonly in haemorrhagic stroke than in ischaemic stroke (23.44% vs. 12.50%, P<0.05). AKI was found more frequently (54.05%) in old >60 years age group and in male patients(17.93% vs. 11.58% & P>0.05). Again, AKI developed most commonly in chronic kidney disease (CKD) (33.33%, P<0.05) and then in diabetes mellitus (DM) (31.03%, P<0.05), in ischaemic heart disease (IHD) (28.11%, P<0.05), in hypertension (21.14%, P<0.05), in previous stroke (15.22%, P>0.05), in dyslipidaemia (13.33%, P>0.05), and in smoker (9.89%, P>0.05). Family history of (H/O) DM was present in 30.00% (P>0.05) and that of hypertension and kidney disease was present in 24.44% (P>0.05) and 25.00% (P>0.05) of stroke patients, respectively. Among the AKI patients, majority (70.27%) had hypertension and 37.84% had CKD, 29.73% had IHD. DM and smoker were 24.32%of each. Family H/O of hypertension, DM and kidney disease was present in 29.73%, 16.22% & 13.51 % of AKI patients, respectively. So, this study had identified several important risk factors of AKI, in particular age, sex, smoking, hypertension, DM, IHD, CKD and types of stroke. So, the risk score could be easily calculated to predict the risk of AKI in stroke patients. And thus to prevent the development of AKI is of utmost importance to reduce the related morbidity and mortality of acute stroke patients. A multicenter nationwide intensive research is needed to identify the precise mechanism, risk factors, their relation and actual outcome of AKI that develop in patients with acute stroke. CBMJ 2019 January: vol. 08 no. 01 P: 12-18