Role of blood pressure on stroke-related mortality: a 45-year follow-up study in China / 中华医学杂志(英文版)

BACKGROUND@#Hypertension is associated with stroke-related mortality. However, the long-term association of blood pressure (BP) and the risk of stroke-related mortality and the influence path of BP on stroke-related death remain unknown. The current study aimed to estimate the long-term causal associations between BP and stroke-related mortality and the potential mediating and moderated mediating model of the associations.@*METHODS@#This is a 45-year follow-up cohort study and a total of 1696 subjects were enrolled in 1976 and 1081 participants died by the latest follow-up in 2020. COX proportional hazard model was used to explore the associations of stroke-related death with baseline systolic blood pressure (SBP)/diastolic blood pressure (DBP) categories and BP changes from 1976 to 1994. The mediating and moderated mediating effects were performed to detect the possible influencing path from BP to stroke-related deaths. E value was calculated in the sensitivity analysis.@*RESULTS@#Among 1696 participants, the average age was 44.38 ± 6.10 years, and 1124 were men (66.3%). After a 45-year follow-up, a total of 201 (11.9%) stroke-related deaths occurred. After the adjustment, the COX proportional hazard model showed that among the participants with SBP ≥ 160 mmHg or DBP ≥ 100 mmHg in 1976, the risk of stroke-related death increased by 217.5% (hazard ratio [HR] = 3.175, 95% confidence interval [CI]: 2.297-4.388), and the adjusted HRs were higher in male participants. Among the participants with hypertension in 1976 and 1994, the risk of stroke-related death increased by 110.4% (HR = 2.104, 95% CI: 1.632-2.713), and the adjusted HRs of the BP changes were higher in male participants. Body mass index (BMI) significantly mediated the association of SBP and stroke-related deaths and this mediating effect was moderated by gender.@*CONCLUSIONS@#In a 45-year follow-up, high BP and persistent hypertension are associated with stroke-related death, and these associations were even more pronounced in male participants. The paths of association are mediated by BMI and moderated by gender.

Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China.

Background: Coronavirus Disease 2019 (COVID-19) is currently a global public health threat. Outside of China, Italy is one of the countries suffering the most with the COVID-19 epidemic. It is important to predict the epidemic trend of the COVID-19 epidemic in Italy to help develop public health strategies. Methods: We used time-series data of COVID-19 from Jan 22 2020 to Apr 02 2020. An infectious disease dynamic extended susceptible-infected-removed (eSIR) model, which covers the effects of different intervention measures in dissimilar periods, was applied to estimate the epidemic trend in Italy. The basic reproductive number was estimated using Markov Chain Monte Carlo methods and presented using the resulting posterior mean and 95% credible interval (CI). Hunan, with a similar total population number to Italy, was used as a comparative item. Results: In the eSIR model, we estimated that the mean of basic reproductive number for COVID-19 was 4.34 (95% CI, 3.04-6.00) in Italy and 3.16 (95% CI, 1.73-5.25) in Hunan. There would be a total of 182 051 infected cases (95%CI:116 114-274 378) under the current country blockade and the endpoint would be Aug 05 in Italy. Conclusion: Italy's current strict measures can efficaciously prevent the further spread of COVID-19 and should be maintained. Necessary strict public health measures should be implemented as soon as possible in other European countries with a high number of COVID-19 cases. The most effective strategy needs to be confirmed in further studies.

Extended SIR prediction of the epidemics trend of COVID-19 in Italy and compared with Hunan, China

BackgroundCoronavirus Disease 2019 (COVID-19) is currently a global public health threat. Outside of China, Italy is one of the most suffering countries with the COVID-19 epidemic. It is important to predict the epidemics trend of COVID-19 epidemic in Italy to help develop public health strategies. MethodsWe used time-series data of COVID-19 from Jan 22,2020 to Mar 16,2020. An infectious disease dynamic extended susceptible-infected-removed (eSIR) model, which covers the effects of different intervention measures in dissimilar periods, was applied to estimate the epidemic trend in Italy. The basic reproductive number was estimated using Markov Chain Monte Carlo methods and presented using the resulting posterior mean and 95% credible interval (CI). Hunan, with similar total number of populations in Italy, was used as a comparative item. ResultsIn the eSIR model, we estimated that the basic reproductive number for COVID-19 was respectively 4.10 (95% CI: 2.15-6.77) in Italy and 3.15(95% CI: 1.71-5.21) in Hunan. There would be totally 30 086 infected cases (95%CI:7920-81 869) under the current country blockade and the endpoint would be Apr 25 (95%CI: Mar 30 to Aug 07) in Italy. If the country blockade is imposed 5 day later, the total number of infected cases would expand the infection scale 1.50 times. ConclusionItalys current strict measures can efficaciously prevent the further spread of COVID-19 and should be maintained. Necessary strict public health measures be implemented as soon as possible in other European countries with a high number of COVID-19 cases. The most effective strategy needs to be confirmed in further studies.

Epidemiological investigation of a family clustering of COVID-19 / 中华流行病学杂志

Objective To investigate the epidemiological characteristics of a family clustering of COVID-19. Methods Field epidemiological survey was conducted. Result Case 1 of the long-term residents from Hubei province was the source of infection of this family clustering. There were 6 cases (from case 2 to case 7) infected in the whole incubation period. The incubation period was more than 14 days for 3 of the second-generation cases. Routes of transmission include respiratory droplets (from case 1 transmitted to case 6, from case 1 to her family members) and closecontact (from case 1 to other cases in her family). All the age groups were generally susceptible, while elderly were easier to progress to critically ill. Besides respiratory symptoms, there were also gastrointestinal symptoms, of which diarrhea was the most common one. Conclusion Family clustering had been an important part for COVID-19 cases.