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1.
Blood Purif ; : 1-9, 2023 Mar 30.
Artigo em Inglês | MEDLINE | ID: mdl-36996766

RESUMO

INTRODUCTION: In this study, we examined the effect of switching dialysis membranes on the response to influenza virus vaccination in HD patients. METHODS: This study consisted of two phases. In phase 1, antibody titers were measured and compared between HD patients and healthy volunteers (HVs) before and after vaccination against influenza virus. Using antibody titers 4 weeks after vaccination, HD patients and HVs were classified according to seroconversion (i.e., antibody titers against all four strains were >20-fold) or non-seroconversion (i.e., antibody titer against at least one strain was <20-fold). In the phase 2, we examined whether the change in the dialysis membrane from a polysulfone (PS) to a polymethyl methacrylate (PMMA) membrane affected the response to vaccination in HD patients without seroconversion in response to the vaccine the previous year. Patients with seroconversion and non-seroconversion were classified as responders and nonresponders, respectively. Additionally, we compared clinical data. RESULTS: In the phase 1, 110 HD patients and 80 HVs were enrolled, and their seroconversion rates were 58.6% and 72.5%, respectively. In the phase 2, 20 HD patients without seroconversion in response to the vaccine the previous year were enrolled, and the dialyzer membrane was changed to PMMA 5 months before annual vaccination. After annual vaccination, 5 and 15 HD patients were categorized as responders and nonresponders, respectively. In the responders, ß2-microglobulin, white blood cell counts, platelet counts, and serum albumin levels (Alb) were all higher than in the nonresponders. CONCLUSION: The responsiveness to vaccination against influenza virus was lower in HD patients compared with HVs. Changing the dialysis membrane from PS to PMMA appeared to affect the response to vaccination in HD patients.

2.
Trop Med Health ; 50(1): 69, 2022 Sep 16.
Artigo em Inglês | MEDLINE | ID: mdl-36114561

RESUMO

BACKGROUND: Influenza viruses are an important cause of respiratory infections across all age groups. Information on occurrence and magnitude of influenza virus infections in different populations in Kenya however remains scanty, compromising estimation of influenza disease burden. This study examined influenza infection in an urban high-income setting in Nairobi to establish its prevalence and activity of influenza viruses, and evaluated diagnostic performance of a rapid influenza diagnostic test. METHODOLOGY: A cross-sectional hospital-based study was conducted in six private health facilities located within high-income residential areas in Nairobi from January 2019 to July 2020. Patients of all ages presenting with influenza-like illness (ILI) were recruited into the study. Detection of influenza virus was conducted using rapid diagnosis and reverse transcription-polymerase chain reaction (RT-PCR). Data were summarized using descriptive statistics and tests of association. Sensitivity, specificity and area under receiver operating characteristics curve was calculated to establish diagnostic accuracy of the rapid diagnosis test. RESULTS: The study recruited 125 participants with signs and symptoms of ILI, of whom 21 (16.8%) were positive for influenza viruses. Of all the influenza-positive cases, 17 (81.0%) were influenza type A of which 70.6% were pandemic H1N1 (A/H1N1 2009). Highest detection was observed among children aged 5-10 years. Influenza virus mostly circulated during the second half of the year, and fever, general fatigue and muscular and joint pain were significantly observed among participants with influenza virus. Sensitivity and specificity of the diagnostic test was 95% (95% confidence interval 75.1-99.9) and 100% (95% confidence interval 96.5-100.0), respectively. CONCLUSIONS: Findings of this study shows continuous but variable activity of influenza virus throughout the year in this population, with substantial disease burden. The findings highlight the need for continuous epidemiologic surveillance including genetic surveillance to monitor activity and generate data to inform vaccine introduction or development, and other interventions.

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