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1.
Health Secur ; 21(3): 165-175, 2023.
Artículo en Inglés | MEDLINE | ID: covidwho-2306200

RESUMEN

A COVID-19 patient surge in Japan from July to September 2021 caused a mismatch between patient severity and bed types because hospital beds were fully occupied and patient referrals between hospitals stagnated. Japan's predominantly private healthcare system lacks effective mechanisms to coordinate healthcare providers to address the mismatch. To address the surge, in August 2021, Tokyo Saiseikai Central Hospital started a scheme to exchange patients with other hospitals to mitigate the mismatch. In this article, we outline a retrospective observational study using medical records from a tertiary care medical center that treated severe COVID-19 cases. We describe daily patient admissions to our hospital's COVID-19 beds from July to September 2021, and compared the moving average of daily admissions before and after the exchange scheme was introduced. Bed occupancy reached nearly 100% in late July when the patient surge began and continued to exceed 100% in August when the surge peaked. However, the average daily admission did not decrease in August compared with July: the median daily admission (25th to 75th percentile) during each period was 2 (1 to 2.5) in late July and 3 (2 to 4) in August. The number of patients referred in from secondary care hospitals and the number of patients referred out was balanced in August. During the patient surge, the exchange scheme enabled the hospital to maintain and even increase the number of new admissions despite the bed shortage. Coordinating patient referrals in both directions simultaneously, rather than the usual 1-way transfer, can mitigate such mismatches.


Asunto(s)
COVID-19 , Humanos , Japón , Ocupación de Camas , Derivación y Consulta , Centros de Atención Terciaria , Capacidad de Reacción
2.
Vaccines (Basel) ; 11(3)2023 Mar 14.
Artículo en Inglés | MEDLINE | ID: covidwho-2287961

RESUMEN

Humoral and cellular responses are critical in understanding immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination. Here, we evaluated these responses in hemodialysis (HD) patients after the booster vaccination. SARS-CoV-2 immunoglobulin (IgG) levels, neutralizing antibody titers, and the T-SPOT®.COVID test (T-SPOT) were measured prior to, three weeks after, and three months after the booster administration. The HD group had significantly higher SARS-CoV-2 IgG levels and neutralizing antibody titers against the original strain at three weeks and three months after the booster vaccination compared to the control group, albeit the HD group had lower SARS-CoV-2 IgG levels and neutralizing antibody titers before the booster administration. Moreover, the HD group had significantly higher T-SPOT levels at all three time points compared to the control group. The HD group also had significantly higher local and systemic adverse reaction rates than the control group. By booster vaccination, HD patients could acquire more effective SARS-CoV-2-specific humoral and cellular immunity than the control group.

3.
Renal replacement therapy ; 8(1), 2022.
Artículo en Inglés | EuropePMC | ID: covidwho-1999676

RESUMEN

Background Dialysis patients are predisposed to severe disease and have a high mortality rate in coronavirus disease 2019 (COVID-19) due to their comorbidities and immunocompromised conditions. Therefore, dialysis patients should be prioritized for vaccination. This study aimed to examine how long the effects of the vaccine are maintained and what factors affect antibody titers. Methods Hemodialysis patients (HD group) and age- and sex-matched non-dialysis individuals (Control group), receiving two doses of BNT162b2 vaccine, were recruited through the Japanese Society for Dialysis Therapy (JSDT) Web site in July 2021. Anti-SARS-CoV-2 immunoglobulin (IgG) (SARS-CoV-2 IgG titers) was measured before vaccination, 3 weeks after the first vaccination, 2 weeks after the second vaccination, and 3 months after the second vaccination, and was compared between Control group and HD group. Factors affecting SARS-CoV-2 IgG titers were also examined using multivariable regression analysis and stepwise regression analysis (least AIC). In addition, we compared adverse reactions in Control and HD groups and examined the relationship between adverse reactions and SARS-CoV-2 IgG titers. Results Our study enrolled 123 participants in the Control group (62.6% men, median age 67.0 years) and 206 patients in the HD group (64.1% men, median age 66.4 years). HD group had significantly lower SARS-CoV-2 IgG titers at 3 weeks after the first vaccination (p < 0.0001), 2 weeks after second vaccination (p = 0.0002), and 3 months after the second vaccination (p = 0.045) than Control group. However, the reduction rate of SARS-CoV-2 IgG titers between 2 weeks and 3 months after the second vaccination was significantly smaller in HD group than in Control (p = 0.048). Stepwise regression analysis revealed that dialysis time was identified as the significant independent factors for SARS-CoV-2 IgG titers at 2 weeks after the second vaccination in HD group (p = 0.002) and longer dialysis time resulted in higher maximum antibody titers. The incidences of fever and nausea after the second vaccination were significantly higher in the HD group (p = 0.039 and p = 0.020). Antibody titers in those with fever were significantly higher than those without fever in both groups (HD: p = 0.0383, Control: p = 0.0096). Conclusion HD patients had significantly lower antibody titers than age- and sex-matched non-dialysis individuals over 3 months after vaccination. Dialysis time was identified as a factor affecting SARS-CoV-2 IgG titers in HD group, with longer dialysis time resulting in higher maximum SARS-CoV-2 IgG titers.

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