Infrared thermal screening, via the use of handheld non-contact infrared thermometers (NCITs) and thermal scanners, has been widely implemented all over the world. We performed a systematic review and meta-analysis to investigate its diagnostic accuracy for the detection of fever. We searched PubMed, Embase, the Cochrane Library, medRxiv, bioRxiv, ClinicalTrials.gov, COVID-19 Open Research Dataset, COVID-19 research database, Epistemonikos, EPPI-Centre, World Health Organization International Clinical Trials Registry Platform, Scopus and Web of Science databases for studies where a non-contact infrared device was used to detect fever against a reference standard of conventional thermometers. Forest plots and Hierarchical Summary Receiver Operating Characteristics curves were used to describe the pooled summary estimates of sensitivity, specificity and diagnostic odds ratio. From a total of 1063 results, 30 studies were included in the qualitative synthesis, of which 19 were included in the meta-analysis. The pooled sensitivity and specificity were 0.808 (95%CI 0.656-0.903) and 0.920 (95%CI 0.769-0.975), respectively, for the NCITs (using forehead as the site of measurement), and 0.818 (95%CI 0.758-0.866) and 0.923 (95%CI 0.823-0.969), respectively, for thermal scanners. The sensitivity of NCITs increased on use of rectal temperature as the reference. The sensitivity of thermal scanners decreased in a disease outbreak/pandemic setting. Changes approaching statistical significance were also observed on the exclusion of neonates from the analysis. Thermal screening had a low positive predictive value, especially at the initial stage of an outbreak, while the negative predictive value (NPV) continued to be high even at later stages. Thermal screening has reasonable diagnostic accuracy in the detection of fever, although it may vary with changes in subject characteristics, setting, index test, and the reference standard used. Thermal screening has a good NPV even during a pandemic. The policymakers must take into consideration the factors surrounding the screening strategy while forming ad-hoc guidelines.

No abstract

Background: Seroprevalence of IgG antibodies against SARS-CoV-2 is an important tool to estimate the true extent of infection in a population. However, seroprevalence studies have been scarce in South East Asia including India, which, as of now, carries the third largest burden of confirmed cases in the world. The present study aimed to estimate the seroprevalence of the anti-SARS-CoV-2 IgG antibody among hospitalized patients at one of the largest government hospital in India. Method: This cross-sectional study, conducted at a tertiary care hospital in North India, recruited consecutive patients who were negative for SARS-CoV-2 by RT-PCR or CB-NAAT. Anti-SARS-CoV-2 IgG antibody levels targeting recombinant spike receptor-binding domain (RBD) protein of SARS CoV-2 were estimated in serum samples by the ELISA method. Results: A total of 212 hospitalized patients were recruited in the study with mean age (+/-SD) of 41.2 (+/-15.4) years and 55% male population. Positive serology against SARS CoV-2 was detected in 19.8% patients(95% CI 14.7-25.8). Residency in Delhi conferred a higher frequency of seropositivity 26.5% (95% CI 19.3-34.7) as compared to that of other states 8% (95% CI 3.0-16.4) with p-value 0.001. No particular age groups or socio-economic strata showed a higher proportion of seropositivity. Conclusion: Around, one-fifth of hospitalized patients, who were not diagnosed with COVID-19 before, demonstrated seropositivity against SARS-CoV-2. While there was no significant difference in the different age groups and socio-economic classes; residence in Delhi was associated with increased risk (relative risk of 3.62, 95% CI 1.59-8.21) Key Words: SARS-CoV-2 IgG Antibody, Seroprevalence, Hospitalized patient, COVID-19

Background & objectives:The models for implementation of antibiotic stewardship programme (ASP) in the acute care settings of developing countries are lacking. In most of the hospitals, patient turnover is high and a proper system for recording antibiotic-related information and tracking hospital-acquired infections is not in place. This pilot study was conducted in a tertiary care teaching hospital in north India to assess the feasibility of implementation of an ASP in a Medicine unit and to evaluate the effect of implementation as per the criteria applicable in this set up.Methods:A pre-post-quasi-experimental non-randomized study was conducted in two phases. In the first phase, current practices in the Medicine wards were observed. In the second phase, the ASP was implemented in a single Medicine unit, along with prospective audit and feedback, tracking of the process, as well as outcome measures. Patient risk stratification, blood culture on day one, day 3 bundle, dose optimization, de-escalation and intravenous to oral conversion of antibiotics were the key elements focused upon.Results:There was a significant improvement in the appropriateness of antibiotic prescription (66 vs. 86%, P<0.001) and reduction in the mean number of antibiotics used per person (4.41 vs. 3.86, P<0.05) along with decrease in the duration of hospital stay (17 vs. 14 days, P<0.05). There was a significant improvement in sending of blood cultures on day one during the stewardship phase (P<0.001).Interpretation & conclusions:The ASP approach used in our pilot study may be feasible and beneficial. However, it needs further confirmation in other settings and on a large scale.

No abstract