Implementation of a Triage Protocol Outside the Hospital Setting for Timely Referral During the COVID-19 Second Wave in Chennai, India.

India experienced a surge in COVID-19 cases during the second wave in the period of April-June 2021. A rapid rise in cases posed challenges to triaging patients in hospital settings. Chennai, the fourth largest metropolitan city in India with an 8 million population, reported 7564 COVID-19 cases on May 12, 2021, nearly 3 times higher than the number of cases in the peak of COVID-19 in 2020. A sudden surge of cases overwhelmed the health system. We had established standalone triage centers outside the hospitals in the first wave, which catered to up to 2500 patients per day. In addition, we implemented a home-based triage protocol from May 26, 2021, to evaluate patients with COVID-19 who were aged ≤45 years without comorbidities. Among the 27,816 reported cases between May 26 and June 24, 2021, a total of 16,022 (57.6%) were aged ≤45 years without comorbidities. The field teams triaged 15,334 (55.1%), and 10,917 (39.2%) patients were evaluated at triage centers. Among 27,816 cases, 19,219 (69.1%) were advised to self-isolate at home, 3290 (11.8%) were admitted to COVID-19 care centers, and 1714 (6.2%) were admitted to hospitals. Only 3513 (12.7%) patients opted for the facility of their choice. We implemented a scalable triage strategy covering nearly 90% of the patients in a large metropolitan city during the COVID-19 surge. The process enabled early referral of high-risk patients and ensured evidence-informed treatment. We believe that the out-of-hospital triage strategy can be rapidly implemented in low-resource settings.

Precipitating Factors and Outcome of Hepatorenal Syndrome in Liver Cirrhosis.

INTRODUCTION: Hepatorenal syndrome (HRS) is a functional renal failure due to intense renal vasoconstriction that frequently develops in patients with cirrhosis. Past studies reported that in almost half of the cases of HRS, one or more precipitating factors can be identified. We conducted a study to determine the Precipitating factors and outcome of hepatorenal Syndrome in liver cirrhosis. MATERIALS: This cross-sectional analytical study was conducted in tertiary care centre. A total of 62 consecutive patients admitted with HRS were included in this study. All adult patients admitted with diagnosis chronic liver disease with hepatorenal syndrome after applying exclusion criteria. The precipitants of HRS were correlated with the type of HRS; length of hospital stay and mortality. RESULT: Among the 62 subjects, 52% were alcoholics who were predominantly male and they had alcoholic cirrhosis. 21% and 16% were affected by hepatitis B and C respectively. Remaining 11% of them had non-alcoholic fatty liver disease. Bacterial infection and Large volume paracentesis had the longest duration of stay 16 ± 2 days and 12 deaths, GI bleed was around 12 ± 1 days and 4 deaths, ug induced HRS had 8 ± 2 days and 2 deaths, unknown factors were 5 ± 2 days. CONCLUSION: Patients presenting with two or more precipitating factors and advanced grade of HE had a prolonged hospital stay and increased mortality rate. Spontaneous bacterial infection was the most common precipitating factor at our centre. References Ginès A, Escorsell A, Ginès P, et al. Incidence, predictive factors, and prognosis of the hepatorenal syndrome in cirrhosis with ascites. Gastroenterology 1993;105(1):229-236. Arroyo V, Ginès P, Alexander L, et al. Definition and diagnostic criteria of refractory ascites and hepatorenal syndrome in cirrhosis. International Ascites Club. Hepatology 1996;23(1):164- 176.

Correlation between Severity of Thrombocytopenia and Portal Hypertensive Gastropathy in Patients with Chronic Liver Disease.

INTRODUCTION: Portal hypertensive gastropathy (PHG) is known but under detected complication of cirrhosis of liver. Patients with stable liver disease are more prone to internal bleeding due to portal hypertension. Thrombocytopenia is a common complication associated with chronic liver disease and it is associated with poor prognosis. The aim of this study is to find out the association between correlation between severity of thrombocytopenia and portal hypertensive gastropathy in patients with chronic liver disease. MATERIALS: This cross-sectional analytical study was conducted in a tertiary care centre at Saveetha Medical College Hospital and Research Centre. A total of 80 consecutive subjects were included in this study. All adult patients admitted with diagnosis chronic liver disease underwent upper GI endoscopy; those with portal hypertensive gastropathy were included in this study. The patient with liver disease with only varices but not gastropathy was excluded. Patient less than 18 years and with poor preparation were excluded from this study. Platelet count was estimated and severity of gastropathy was classified. Correlation of thrombocytopenia and severity of gastropathy was studied. RESULT: Patients with mild portal hypertensive gastropathy category had normal platelet count between 1.5-4.5 lakhs/mm3 . But in patients with severe PHG, almost 80% of patients had thrombocytopenia, in which 8% had severe thrombocytopenia <50,000 cells/mm3 . The inverse relationship between the platelet count and the severity of PHG was statistically significant. CONCLUSION: The severity of thrombocytopenia increased with increasing grade of portal hypertensive gastropathy. Hence platelet count can serve as the prognostic marker of chronic liver disease induced portal hypertensive gastropathy References Chung WJ. Management of portal hypertensive gastropathy and other bleeding. Clin Mol Hepatol 2014;20(1):1-5. Madhwani R, Hanif FM, Ul Haque MM, et al. Noninvasive clinical predictors of portal hypertensive gastropathy in patients with liver cirrhosis. J Transpl Int Med 2017;5(3):169-173.

Colonoscopic Profile of Lower Gastrointestinal Bleed in Adults: A Tertiary Care Center-based Study in South India.

INTRODUCTION: Lower Gastro intestinal bleeding (LGIB) is one of the most important clinical symptoms which have significant morbidity and mortality. It has an annual admission rate of 0.15% with mortality rate of 5-10%. LGIB can be caused by number of causes which includes both neoplastic and non-neoplastic lesions. Colonoscopy is the gold standard diagnostic measure which is simple, convenient and cost effective procedure. The present study was aimed to assess the Colonoscopic profile of LGIB presenting to our tertiary care centre in south India. The study was conducted for 6 months period. MATERIALS: This is a hospital based study cross-sectional observational study conducted in a tertiary health care centre. A total number of 58 adult subjects with LGIB aged above 18 years were recruited in this study and History, clinical examination, blood tests were taken. RESULT: In our study among the 58 subjects, 33 were male. Majority of our patients were between the mean age of 31-40 years. Most colonoscopic findings were suggestive of ulcerative colitis which equalled to 31%. Other different aetiologies of LGIB were as following: CA colon (15%), haemorrhoids (15%), colonic polyps (14%) CA anal canal (5%) and so on. Majority of our patients had moderate anaemia which was equal to 45%, due to persistent LGIB. CONCLUSION: The incidence of lower GI bleeding increased with increasing age among our patients. The leading cause of lower GI bleeding was found to be ulcerative colitis. It was followed by CA colon, haemorrhoids and colonic polyps hence colonoscopy is recommended in all patients chronic LGIB. References Hilsden RJ, Shaffer EA. Management of gastrointestinal hemorrhage. Can Fam Physician 1995;41:1931-6, 1939-41. Sahn B, Bitton S. Lower gastrointestinal bleeding in children. Gastrointest Endosc Clin NA 2016;26(1):75-98.

Epidemiology of COVID-19 and effect of public health interventions, Chennai, India, March-October 2020: an analysis of COVID-19 surveillance system.

OBJECTIVES: To describe the public health strategies and their effect in controlling the COVID-19 pandemic from March to October 2020 in Chennai, India. SETTING: Chennai, a densely populated metropolitan city in Southern India, was one of the five cities which contributed to more than half of the COVID-19 cases in India from March to May 2020. A comprehensive community-centric public health strategy was implemented for controlling COVID-19, including surveillance, testing, contact tracing, isolation and quarantine. In addition, there were different levels of restrictions between March and October 2020. PARTICIPANTS: We collected the deidentified line list of all the 192 450 COVID-19 cases reported from 17 March to 31 October 2020 in Chennai and their contacts for the analysis. We defined a COVID-19 case based on the real-time reverse transcriptase-PCR (RT-PCR) positive test conducted in one of the government-approved labs. OUTCOME MEASURES: The primary outcomes of interest were incidence of COVID-19 per million population, case fatality ratio (CFR), deaths per million, and the effective reproduction number (Rt). We also analysed the surveillance, testing, contact tracing and isolation indicators. RESULTS: Of the 192 450 RT-PCR confirmed COVID-19 cases reported in Chennai from 17 March to 31 October 2020, 114 889 (60%) were males. The highest incidence was 41 064 per million population among those 61-80 years. The incidence peaked during June 2020 at 5239 per million and declined to 3627 per million in October 2020. The city reported 3543 deaths, with a case fatality ratio of 1.8%. In March, Rt was 4.2, dropped below one in July and remained so until October, even with the relaxation of restrictions. CONCLUSION: The combination of public health strategies might have contributed to controlling the COVID-19 epidemic in a large, densely populated city in India. We recommend continuing the test-trace-isolate strategy and appropriate restrictions to prevent resurgence.

Surveillance for face mask compliance, Chennai, Tamil Nadu, India, October-December, 2020.

PURPOSE: Government of Tamil Nadu, India, mandated the face mask wearing in public places as one of the mitigation measures of COVID-19. We established a surveillance system for monitoring the face mask usage. This study aimed to estimate the proportion of the population who wear face masks appropriately (covering nose, mouth, and chin) in the slums and non-slums of Chennai at different time points. METHODS: We conducted cross-sectional surveys among the residents of Chennai at two-time points of October and December 2020. The sample size for outdoor mask compliance for the first and second rounds of the survey was 1800 and 1600, respectively, for each of the two subgroups-slums and non-slums. In the second round, we included 640 individuals each in the slums and non-slums indoor public places and 1650 individuals in eleven shopping malls. We calculated the proportions and 95% confidence interval (95%CI) for the mask compliance outdoors and indoors by age, gender, region, and setting (slum and non-slum). RESULTS: We observed 3600 and 3200 individuals in the first and second surveys, respectively, for outdoor mask compliance. In both rounds, the prevalence of appropriate mask use outdoors was significantly lower in the slums (28%-29%) than non-slum areas (36%-35%) of Chennai (p<0.01). Outdoor mask compliance was similar within slum and non-slum subgroups across the two surveys. Lack of mask use was higher in the non-slums in the second round (50%) than in the first round of the survey (43%) (p<0.05). In the indoor settings in the 2nd survey, 10%-11% among 1280 individuals wore masks appropriately. Of the 1650 observed in the malls, 947 (57%) wore masks appropriately. CONCLUSION: Nearly one-third of residents of Chennai, India, correctly wore masks in public places. We recommend periodic surveys, enforcement of mask compliance in public places, and mass media campaigns to promote appropriate mask use.

The impact of chest radiography and Xpert MTB/RIF testing among household contacts in Chennai, India.

Tuberculosis prevalence surveys have demonstrated the benefit of screening with chest x-ray (CXR) and sensitive diagnostic tests compared to symptoms and smear microscopy. However, in programmatic practice there is little evidence on the yield of different algorithms. We implemented contact tracing in Chennai, India for adult sputum-positive TB patients registered from January 2015 to March 2016. Patients with symptoms or abnormal X-ray findings further underwent testing using Xpert MTB/RIF (Xpert) and smear microscopy. A retrospective cohort study was done to summarize the key findings. We verbally screened 5553 contacts for symptoms, CXR through private sector collaboration, Xpert, and smear microscopy. Overall, 1312 (23.6%) contacts screened positive. CXR alone identified 531 (40.5%) of them, 679 (51.8%) were symptom-positive only, while 102 (7.8%) were positive on both the symptom and CXR screen. Overall, 35 bacteriologically positive cases were identified (0.7%). A standard approach of symptoms screening followed by microscopy identified only 9 (25.7%) of the total number of bacteriologically positive cases, whereas the combination of a CRX screening followed by microscopy identified 13 (37.1%) of the cases. The algorithm of symptoms screening followed by Xpert testing, detected 20 cases, whereas the combination of symptoms and CXR followed by Xpert increased this number to 35 (75% increase compared to symptoms and Xpert). Optimal use of more sensitive screening tests, better diagnostic tests, and novel private sector engagement can improve diagnostic yield in a programmatic setting.