In-depth Correlation Analysis of SARS-CoV-2 Effective Reproduction Number and Mobility Patterns: Three Groups of Countries / 예방의학회지

Objectives@#Many governments have imposed—and are still imposing—mobility restrictions to contain the coronavirus disease 2019 (COVID-19) pandemic. However, there is no consensus on whether policy-induced reductions of human mobility effectively reduce the effective reproduction number (Rt) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several studies based on country-restricted data reported conflicting trends in the change of the SARS-CoV-2 Rt following mobility restrictions. The objective of this study was to examine, at the global scale, the existence of regional specificities in the correlations between Rt and human mobility. @*Methods@#We computed the Rt of SARS-CoV-2 using data on worldwide infection cases reported by the Johns Hopkins University, and analyzed the correlation between Rt and mobility indicators from the Google COVID-19 Community Mobility Reports in 125 countries, as well as states/regions within the United States, using the Pearson correlation test, linear modeling, and quadratic modeling. @*Results@#The correlation analysis identified countries where Rt negatively correlated with residential mobility, as expected by policymakers, but also countries where Rt positively correlated with residential mobility and countries with more complex correlation patterns. The correlations between Rt and residential mobility were non-linear in many countries, indicating an optimal level above which increasing residential mobility is counterproductive. @*Conclusions@#Our results indicate that, in order to effectively reduce viral circulation, mobility restriction measures must be tailored by region, considering local cultural determinants and social behaviors. We believe that our results have the potential to guide differential refinement of mobility restriction policies at a country/regional resolution.

The Place of Fluvoxamine in the Treatment of Non-critically ill Patients with COVID-19: A Living Systematic Review and Meta-analysis

BackgroundFluvoxamine is a selective serotonin reuptake inhibitor that is known to be used as antidepressant. Repurposing of Fluvoxamine for the treatment of COVID-19 is theorized to help in the prevention of the clinical deterioration of SARS CoV-2 patients. In our systematic review and meta-analysis, we aim to assess the safety and efficacy of the drug under study in terms of its effect on the mortality and the risk of hospitalization and mechanical ventilation in non-critically ill COVID-19 patients. MethodsWe performed a systematic search of seven electronic databases. The search results were screened based on the previously determined inclusion and exclusion criteria. We determined the data related to our objectives. The mortality rates, rates of hospitalization, risk of mechanical ventilation and serious side effects were extracted from the studies that successfully met our inclusion and exclusion criteria. Then, the extracted data from the included studies was included in the meta-analysis. ResultsThree studies, two randomized clinical trials and one observational cohort study, with 1762 patients, were the final outcome of our search and screening processes. Among all participants, 886 patients received Fluvoxamine while 876 were controls. Follow up periods ranged from 7 days to 28 days. There was no significant difference in the intention-to-treat mortality rates between the two groups (RR = 0.66; 95% CI: 0.36 - 1.21, p-value = 0.18; I2 = 0%). However, Fluvoxamine decreased the per-protocol mortality compared to both placebo alone or placebo/standard care (RR = 0.09; 95% CI: 0.01 - 0.64, p-value = 0.02; I2 = 0% and RR = 0.09; 95% CI: 0.01 - 0.72, respectively). As compared to placebo or standard care, the all-cause hospitalization was significantly reduced in the fluvoxamine group (RR = 0.71; 95% CI: 0.54 - 0.93, p-value = 0.01; I2 = 61%). This risk reduction was not significant when compared to placebo alone (RR = 0.76; 95% CI: 0.57 - 1.00; p-value = 0.051; I2 = 48%). Furthermore, the risk of mechanical ventilation was not improved in the fluvoxamine group as compared to placebo (RR = 0.71; 95% CI: 0.43 - 1.16, p-value = 0.17; I2 = 0%). The serious adverse effects were almost the same in the treatment group and the control (13% and 12% respectively). ConclusionFluvoxamine does not significantly reduce the mortality rates or the risk of mechanical ventilation in SARS CoV-2 patients. Nonetheless, it was found to have a good impact on reducing all cause hospitalization among patients with COVID-19 disease. Therefore, further clinical studies are needed to determine the effectiveness of the drug and its mechanisms of action.

Renal hyperfiltration, fatty liver index, and the hazards of all-cause and cardiovascular mortality in Finnish men / 한국역학회지

OBJECTIVES@#Renal hyperfiltration (RHF) and fatty liver are separately associated with adverse health outcomes. In this study, we investigated the mortality hazard of coexisting RHF and fatty liver. @*METHODS@#Middle-aged men from the Kuopio Ischaemic Disease Risk Factor Study (n=1,552) were followed up for a median of 29 years. Associations among RHF, fatty liver index (FLI) score, age, body mass index, smoking status, alcohol consumption, and hypertension status were assessed using logistic regression. Cox proportional hazards models were used to determine the hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality with respect to RHF and fatty liver. @*RESULTS@#Of the men, 5% had RHF (n=73), whereas a majority had fatty liver (n=848). RHF was associated specifically with smoking, and fatty liver was associated specifically with overweight. The all-cause mortality hazard was highest (HR, 1.96; 95% confidence interval [CI], 1.27 to 3.01) among men with RHF and fatty liver (n=33). Among men with RHF but normal FLI (n=40), the HR of all-cause mortality was 1.67 (95% CI, 1.15 to 2.42). Among men with fatty liver but a normal estimated glomerular filtration rate (n=527), the HR of all-cause mortality was 1.35 (95% CI, 1.09 to 1.66). CVD mortality hazard was associated with RHF, but not fatty liver. We detected no interaction effect between RHF and fatty liver for all-cause (synergy index, 0.74; 95% CI, 0.21 to 2.67) or CVD (synergy index, 0.94; 95% CI, 0.34 to 2.60) mortality. @*CONCLUSIONS@#RHF and fatty liver are independently associated with all-cause and CVD mortality

Renal hyperfiltration, fatty liver index, and the hazards of all-cause and cardiovascular mortality in Finnish men / 한국역학회지

OBJECTIVES@#Renal hyperfiltration (RHF) and fatty liver are separately associated with adverse health outcomes. In this study, we investigated the mortality hazard of coexisting RHF and fatty liver. @*METHODS@#Middle-aged men from the Kuopio Ischaemic Disease Risk Factor Study (n=1,552) were followed up for a median of 29 years. Associations among RHF, fatty liver index (FLI) score, age, body mass index, smoking status, alcohol consumption, and hypertension status were assessed using logistic regression. Cox proportional hazards models were used to determine the hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality with respect to RHF and fatty liver. @*RESULTS@#Of the men, 5% had RHF (n=73), whereas a majority had fatty liver (n=848). RHF was associated specifically with smoking, and fatty liver was associated specifically with overweight. The all-cause mortality hazard was highest (HR, 1.96; 95% confidence interval [CI], 1.27 to 3.01) among men with RHF and fatty liver (n=33). Among men with RHF but normal FLI (n=40), the HR of all-cause mortality was 1.67 (95% CI, 1.15 to 2.42). Among men with fatty liver but a normal estimated glomerular filtration rate (n=527), the HR of all-cause mortality was 1.35 (95% CI, 1.09 to 1.66). CVD mortality hazard was associated with RHF, but not fatty liver. We detected no interaction effect between RHF and fatty liver for all-cause (synergy index, 0.74; 95% CI, 0.21 to 2.67) or CVD (synergy index, 0.94; 95% CI, 0.34 to 2.60) mortality. @*CONCLUSIONS@#RHF and fatty liver are independently associated with all-cause and CVD mortality

Social Distancing with Movement Restrictions and the Effective Replication Number of COVID-19: Multi-Country Analysis Based on Phone Mobility Data

Linking phone mobility data to the effective replication number (Rt) could help evaluation of the impact of social distancing on the coronavirus disease 2019 (COVID-19) spread and estimate the time lag (TL) needed for the effect of movement restrictions to appear. We used a time-series analysis to discover how patterns of five indicators of mobility data relate to changes in Rt of 125 countries distributed over three groups based on Rt-mobility correlation. Group 1 included 71 countries in which Rt correlates negatively with residential and positively with other mobility indicators. Group 2 included 25 countries showing an opposite correlation pattern to Group 1. Group 3 included the 29 remaining countries. We chose the best-fit TL based on forecast and linear regression models. We used linear mixed models to evaluate how mobility indicators and the stringency index (SI) relate with Rt. SI reflects the strictness of governmental responses to COVID-19. With a median of 14 days, TLs varied across countries as well as across groups of countries. There was a strong negative correlation between SI and Rt in most countries belonging to Group 1 as opposed to Group 2. SI (units of 10%) associated with decreasing Rt in Group 1 [{beta} -0.15, 95% CI -0.15 - (-0.14)] and Group 3 [-0.05, -0.07 - (-0.03)], whereas, in Group 2, SI associated with increasing Rt (0.13, 0.11 - 0.16). Mobile phone mobility data could contribute evaluations of the impact of social distancing with movement restrictions on the spread of the COVID-19.