[Characteristics and courses of COVID-19 in patients from the first through fifth waves of the disease: Focused on a single public health center in Tokyo, Japan].

Objective　Coronavirus disease 2019 (COVID-19) became a global public health threat, and local public health centers in Japan implemented an infectious disease response to support patients. The response was subsequently modified to meet the needs for each of the five waves of infection. The study aim was to analyze the characteristics and courses of the disease in patients with COVID-19 at a single public health center. The study period included the first through fifth waves of the disease.Methods　We utilized a descriptive epidemiological design in this study and data of patients with COVID-19 from one administrative district in Tokyo, Japan. We analyzed age, gender, nationality, symptoms at diagnosis, the route of infection, the recovery environment, and associated morbidity intervals, including case fatality rate, days from symptom onset to diagnosis, days from diagnosis to hospitalization, and recovery time for each of the first through fifth waves.Results　From February 2020 to November 2021, 11,252 patients were diagnosed with COVID-19. Specifically, in the first wave, 151 patients were diagnosed, followed by 803 in the second wave, 2,406 in the third wave, 1,480 in the fourth wave, and 6,412 in the fifth wave. Hospitalization was the primary recovery environment during the first wave, while home recovery became the primary approach from the third wave onward. The case fatality rate was highest during the first wave, likely because of limited testing and treatment options for severe cases. The median time from onset to diagnosis was seven days in the first wave, significantly longer than for the other waves. The median time from diagnosis to hospitalization was one day in the first through fourth waves but three days in the fifth wave. The extension of this interval suggests that hospitalization was delayed in this wave as the number of severe patients increased rapidly, likely because of the novel COVID-19 variant.Conclusion　This study of patients testing positive for COVID-19 provides valuable insights into the characteristics and courses of the pandemic within this district. These findings can inform regarding the development of effective strategies to manage the ongoing COVID-19 pandemic and other future emerging infectious diseases.

SARS-CoV-2 Infection in Wrestlers after International Tournaments, April 2021.

Epidemiologic and genomic investigation of SARS-CoV-2 infections in members of Japan's national wrestling team after participation in international tournaments in 2021 revealed multiple lineages of SARS-CoV-2 not reported in Japan. The attack rate among wrestlers was high. Results suggest possible transmission during matches. We recommend early case detection and response practices.

Causes of mortality among tuberculosis and HIV co-infected patients in Chiang Rai, Northern Thailand.

BACKGROUND: The case fatality rate in patients with tuberculosis (TB) associated with human immunodeficiency virus (HIV) has been particularly high in Chiang Rai, Northern Thailand. It was almost 50% before the introduction of antiretroviral therapy in the last decade, and was still at 28% in 2008, despite expanding access to antiretroviral therapy. Reviewing the causes of death may lead to further understanding of the timeline and natural history of TB-HIV coinfection, and in so doing help to devise an effective prevention strategy in Chiang Rai. In this study, we aimed to investigate the distribution of confirmed causes of death in patients coinfected with TB and HIV in Chiang Rai, describe the causes of such deaths along the timeline of TB treatment, and identify predictors of each cause of death. METHODS: In this retrospective study, we reviewed the causes of death for 331 patients who died of TB-HIV coinfection at Chiang Rai Prachanukroh Hospital from 2005 to 2008. Causes of death were confirmed by reviewing medical records, vital registration, and the TB register in the province, as well as obtaining reconfirmation by two experienced HIV physicians. RESULTS: The confirmed causes of death were TB (39%), acquired immune deficiency syndrome (AIDS)-related opportunistic infections other than TB (AOI) (29%), and other systemic diseases which were neither TB nor AIDS-related opportunistic infections (nonTB-nonAOI) (16%). The definitive cause could not be confirmed in the remaining 16% of deaths. After starting the TB treatment, deaths caused by TB occurred earlier compared with deaths caused by AOI, which occurred steadily throughout the course of TB treatment, whilst deaths caused by non-TB-nonAOI increased gradually in later months. Further analysis by multivariate multinomial regression analysis showed that deaths in the first month (adjusted odds ratio [aOR] 4.64, 95% confidence interval [CI] 2.49-8.63), CD4 count ≥ 200 cells/mm(3) (aOR 5.33, CI 1.05-26.10), non-category 1 TB treatment regimens (aOR 5.23, CI 1.04-9.77), and TB meningitis (aOR 3.27, CI 1.37-7.82) were significant predictors of confirmed TB deaths. Moreover, age over 45 years (aOR 3, CI 1.32-6.84) and admission as an inpatient were predictors of death caused by neither TB nor AIDS-related opportunistic infections (aOR 3.08, CI 1.39-6.80). Additional analysis showed that non-Thai patients (aOR 0.35, CI 0.12-0.99), those with an unknown CD4 count at TB diagnosis (aOR 0.16, CI 0.08-0.33), and those without an HIV diagnosis before TB treatment (aOR 0.32, CI 0.18-0.59) were less able to access antiretroviral therapy. CONCLUSION: The timeline and predictors of causes of death may assist in devising an intervention strategy for further reduction of the TB-HIV case fatality rate.