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Drapkina OM, Kontsevaya AV, Kalinina AM, Avdeev SN, Agaltsov MV, Alekseeva LI, Almazova II, Andreenko EY, Antipushina DN, Balanova YA, Berns SA, Budnevsky AV, Gainitdinova VV, Garanin AA, Gorbunov VM, Gorshkov AY, Grigorenko EA, Jonova BY, Drozdova LY, Druk IV, Eliashevich SO, Eliseev MS, Zharylkasynova GZ, Zabrovskaya SA, Imaeva AE, Kamilova UK, Kaprin AD, Kobalava ZD, Korsunsky DV, Kulikova OV, Kurekhyan AS, Kutishenko NP, Lavrenova EA, Lopatina MV, Lukina YV, Lukyanov MM, Lyusina EO, Mamedov MN, Mardanov BU, Mareev YV, Martsevich SY, Mitkovskaya NP, Myasnikov RP, Nebieridze DV, Orlov SA, Pereverzeva KG, Popovkina OE, Potievskaya VI, Skripnikova IA, Smirnova MI, Sooronbaev TM, Toroptsova NV, Khailova ZV, Khoronenko VE, Chashchin MG, Chernik TA, Shalnova SA, Shapovalova MM, Shepel RN, Sheptulina AF, Shishkova VN, Yuldashova RU, Yavelov IS, Yakushin SS. Comorbidity of patients with noncommunicable diseases in general practice. Eurasian guidelines. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2024; 23:3696. [DOI: 10.15829/1728-8800-2024-3996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2024] Open
Abstract
Создание руководства поддержано Советом по терапевтическим наукам отделения клинической медицины Российской академии наук.
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Song J, Jeong S, Choi S, Oh YH, Park SJ, Chang JY, Cho Y, Byeon K, Choi JY, Lee S, Jung J, Park SM. Inverse association with COVID-19 vaccination status of the incidence of pneumonia after SARS-CoV-2 infection: A nationwide retrospective cohort study. J Infect Public Health 2024; 17:650-656. [PMID: 38430718 DOI: 10.1016/j.jiph.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 02/04/2024] [Accepted: 02/07/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Although one of the characteristics of COVID-19 is accompanied by acute pneumonia immediately after infection, large-scale cohort studies focused on this issue are lacking. In addition, there is interest in how COVID-19 vaccinations reduce the incidence of acute pneumonia for people infected with different strains of SARS-CoV-2. Thus, we assess the short-term incidence of pneumonia after COVID-19 with the vaccination and SARS-CoV-2 variants. METHODS As data for 2136,751 COVID-19 patients between January 01, 2020 and February 28, 2022 was collected, they were observed for one month from the day of infection. Patients in retrospective cohort study were classified according to doses of the received vaccine and the epidemic phase when SARS-CoV-2 variants prevailed. Multivariable logistic regression analysis calculated adjusted odds ratios (aOR) and 95% confidence intervals (CIs) for the pneumonia risk. RESULTS In B.1.1.7-B.1.351, B.1.617.2, and B.1.617.2 variants, the aORs (95% CIs; p-value) for incidence of pneumonia were 0.93 (0.89-0.98; <0.001), 0.74 (0.70-0.78; <0.001), and 0.04 (0.038-0.043; <0.001), respectively, compared to the original strain. More than 80% of patients have received the second and more doses of the vaccine (average age=44.67 years). The aORs (95% CIs; p-value) for pneumonia were 0.61 (0.58-0.64; <0.001), 0.39 (0.38-0.40; <0.001), and 0.18 (0.166-0.184; <0.001) in patients who received the first (N = 68,216), second (N = 898,838), and ≥ third doses (N = 836,173), respectively, compared to unvaccinated patients. According to the received vaccine (second dose of mRNA or viral vector), those who received BNT162b2 and mRNA-1273 (N = 787,980) had lower risk of pneumonia, compared to that in those who received h ChAdOx1 nCov-19 and AD26. COV2-S (N = 89,024). CONCLUSIONS Our findings suggest that the second and ≥ third doses (61% and 82% of risk aversion effect increased, respectively) of the COVID-19 vaccine can prevent the COVID-19-related pneumonia, regardless of the variants.
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Affiliation(s)
- Jihun Song
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Seogsong Jeong
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seulggie Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yun Hwan Oh
- Department of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong©, Republic of Korea
| | - Sun Jae Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Joo Young Chang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea
| | - Kyeonghyang Byeon
- Associate Research Fellow, Big Data Department, National Health Insurance Service, Wonju, Republic of Korea
| | - Jun Yong Choi
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seju Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea
| | - Jaehun Jung
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon 21556, Republic of Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea; Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
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Hassan MZ, Islam MA, Shoshi HR, Hossain MK, Shirin T, Chowdhury F. Characterizing deaths among adult patients with severe acute respiratory infection: during the pre- and COVID-19 pandemic periods in Bangladesh, 2018-2022. Trop Med Health 2023; 51:70. [PMID: 38115037 PMCID: PMC10729565 DOI: 10.1186/s41182-023-00565-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Severe acute respiratory infection (SARI) is a leading cause of mortality globally, peaking during the COVID-19 pandemic. We analyzed SARI-associated deaths during the pre-and-pandemic periods in Bangladesh to identify the contributing factors. METHODS We analyzed data from hospital-based influenza surveillance at nine tertiary-level hospitals in Bangladesh. We considered March 2018-February 2020 as the pre-pandemic period and March 2020-February 2022 as the pandemic period and included adult (≥ 18 years) participants in our study. Surveillance physicians identified WHO-SARI case definition meeting inpatients and collected demographics, clinical characteristics, and outcomes at hospital discharge and 30 days post-discharge. We performed rRT-PCR for influenza and SARS-CoV-2 viruses on collected nasopharyngeal and oropharyngeal swabs. We used multivariable Cox's regression models to calculate the hazard ratio (HR) for factors associated with SARI deaths in these adult patients. RESULTS We enrolled 4392 SARI patients during the pre-pandemic and 3824 SARI patients during the pandemic period. Case fatality ratio was higher during the pandemic: 13.62% (521) [in-hospital: 6.45% (247); post-discharge: 7.17% (274)] compared to pre-pandemic, 6.01% (264) [in-hospital: 2.01% (89), post-discharge: 4% (175)] (p < 0.001). Pre-pandemic, influenza was detected in 14% (37/264) of SARI deaths. Influenza was detected during the pandemic in 2.3% (12/521), SARS-CoV-2 in 41.8% (218/521), and both viruses in only one SARI death. History of smoking and the presence of 1 or more co-morbid conditions independently attributed to SARI deaths in adults in the pre-pandemic period. SARI deaths in such patients were also associated with respiratory difficulties on admission in both pre-pandemic (aHR 2.36; 95% CI:1.65-3.36) and pandemic period (aHR 2.30; 95% CI: 1.57-3.35) after accounting for age, sex, smoking status, presence of 1 or more co-morbid conditions, and detection of influenza and SARS-CoV-2 viruses. CONCLUSIONS During the pandemic, SARI mortality increased; influenza-associated mortality declined, and SARS-CoV-2 caused over a third of SARI deaths. Post-discharge mortality was higher than in-hospital mortality during both periods. Limiting premature discharge and strengthening post-discharge monitoring and nursing services could reduce unexpected deaths. Formative research to better understand post-discharge mortality is essential to reduce SARI deaths.
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Affiliation(s)
- Md Zakiul Hassan
- Programme for Emerging Infections, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (Icddr,b), Mohakhali, Dhaka, Bangladesh.
| | - Md Ariful Islam
- Programme for Emerging Infections, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (Icddr,b), Mohakhali, Dhaka, Bangladesh
| | - Homayra Rahman Shoshi
- Programme for Emerging Infections, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (Icddr,b), Mohakhali, Dhaka, Bangladesh
| | - Md Kamal Hossain
- Programme for Emerging Infections, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (Icddr,b), Mohakhali, Dhaka, Bangladesh
| | - Tahmina Shirin
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | - Fahmida Chowdhury
- Programme for Emerging Infections, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (Icddr,b), Mohakhali, Dhaka, Bangladesh
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Capacity and use of diagnostics and treatment for patients with severe acute respiratory infections in the pre-COVID-19 era in district and provincial hospitals in Viet Nam. Western Pac Surveill Response J 2021; 12:1-9. [PMID: 35251746 PMCID: PMC8873919 DOI: 10.5365/wpsar.2021.12.4.835] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Objective To describe the burden of severe acute respiratory infection (SARI) and the infrastructure and current practices of SARI management in hospitals in Viet Nam. Methods We conducted a short observational study at critical care units (CCUs) in 32 district hospitals and 16 provincial hospitals in five provinces in Viet Nam from March to July 2019. We collected data on hospital equipment and medicines used in SARI management. At the patient level, data were collected for 14 consecutive days on all patients presenting to CCUs, including information on demographics, intervention and treatment within 24 hours of CCU admission and 7-day outcome. Results There were significant differences between district and provincial hospitals in the availability of microbial culture, rapid influenza diagnostic tests, inflammatory markers and mechanical ventilation. Among 1722 eligible patients admitted to CCUs, there were 395 (22.9%) patients with SARI. The median age of SARI patients was 74 (interquartile range: 58–84) years; 49.1% were male. Although systemic antibiotics were available in all hospitals and were empirically given to 93.4% of patients, oseltamivir was available in 25% of hospitals, and only 0.5% of patients received empiric oseltamivir within 24 hours of admission. The 7-day mortality was 6.6% (26/395). Independent factors associated with 7-day mortality were septic shock and requiring respiratory support within 24 hours of admission. Discussion SARI is a major burden on CCUs in Viet Nam. Barriers to delivering quality care include the limited availability of diagnostics and medication and non-protocolized management of SARI in CCUs.
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Mamedov MN, Rodionova YV, Yavelov IS, Smirnova MI, Dudinskaya EN, Potievskaya VI. COVID-19 from the interdisciplinary standpoint. Round table. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2021. [DOI: 10.15829/1728-8800-2021-2849] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
On February 25, 2021, an expert round table was held, which considered the problem of interdisciplinary discussion of a coronavirus disease 2019 (COVID-19) and the development of joint actions for management of patients with chronic noncommunicable diseases during a pandemic.
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Affiliation(s)
- M. N. Mamedov
- National Medical Research Center for Therapy and Preventive Medicine
| | - Yu. V. Rodionova
- National Medical Research Center for Therapy and Preventive Medicine
| | - I. S. Yavelov
- National Medical Research Center for Therapy and Preventive Medicine
| | - M. I. Smirnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - E. N. Dudinskaya
- Russian Clinical and Research Center of Gerontology, Pirogov Russian National Research Medical University
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Miyashita K, Nakatani E, Hozumi H, Sato Y, Miyachi Y, Suda T. Risk Factors for Pneumonia and Death in Adult Patients With Seasonal Influenza and Establishment of Prediction Scores: A Population-Based Study. Open Forum Infect Dis 2021; 8:ofab068. [PMID: 33738319 PMCID: PMC7953663 DOI: 10.1093/ofid/ofab068] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 02/01/2021] [Indexed: 01/12/2023] Open
Abstract
Background Seasonal influenza remains a global health problem; however, there are limited data on the specific relative risks for pneumonia and death among outpatients considered to be at high risk for influenza complications. This population-based study aimed to develop prediction models for determining the risk of influenza-related pneumonia and death. Methods We included patients diagnosed with laboratory-confirmed influenza between 2016 and 2017 (main cohort, n = 25 659), those diagnosed between 2015 and 2016 (validation cohort 1, n = 16 727), and those diagnosed between 2017 and 2018 (validation cohort 2, n = 34 219). Prediction scores were developed based on the incidence and independent predictors of pneumonia and death identified using multivariate analyses, and patients were categorized into low-, medium-, and high-risk groups based on total scores. Results In the main cohort, age, gender, and certain comorbidities (dementia, congestive heart failure, diabetes, and others) were independent predictors of pneumonia and death. The 28-day pneumonia incidence was 0.5%, 4.1%, and 10.8% in the low-, medium-, and high-risk groups, respectively (c-index, 0.75); the 28-day mortality was 0.05%, 0.7%, and 3.3% in the low-, medium-, and high-risk groups, respectively (c-index, 0.85). In validation cohort 1, c-indices for the models for pneumonia and death were 0.75 and 0.87, respectively. In validation cohort 2, c-indices for the models were 0.74 and 0.87, respectively. Conclusions We successfully developed and validated simple-to-use risk prediction models, which would promptly provide useful information for treatment decisions in primary care settings.
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Affiliation(s)
- Koichi Miyashita
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.,Research Support Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Eiji Nakatani
- Research Support Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Hironao Hozumi
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yoko Sato
- Research Support Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Yoshiki Miyachi
- Research Support Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Takafumi Suda
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
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Byeon KH, Kim J, Choi BY, Kim JY, Lee N. Factors Affecting the Incidence of Hospitalized Pneumonia after Influenza Infection in Korea Using the National Health Insurance Research Database, 2014-2018: Focusing on the Effect of Antiviral Therapy in the 2017 Flu Season. J Korean Med Sci 2020; 35:e318. [PMID: 32989929 PMCID: PMC7521959 DOI: 10.3346/jkms.2020.35.e318] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 07/28/2020] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND This study aimed to investigate the effect of antiviral therapy following influenza outpatient episodes on the incidence of hospitalized pneumonia episodes, one of secondary complications of influenza. METHODS In the National Health Insurance Research Database, data from July 2013 to June 2018 were used. All of the claim data with diagnoses of influenza and pneumonia were converted to episodes of care after applying 100 days of window period. With the 100-day episodes of care, the characteristics of influenza outpatient episodes and antiviral therapy for influenza, the incidence of hospitalized pneumonia episodes following influenza, and the effect of antiviral therapy for influenza on hospitalized pneumonia episodes were investigated. RESULTS The crude incidence rate of hospitalized pneumonia after influenza infection was 0.57% in both males and females. Factors affecting hospitalized pneumonia included age, income level except self-employed highest (only in females), municipality, medical institution type, precedent chronic diseases except hepatitis (only in females) and antiviral therapy. In the 2017 flu season, the relative risk was 0.38 (95% confidence interval [CI], 0.29-0.50) in males aged 0-9 and 0.43 (95% CI, 0.32-0.57) in females aged 0-9 without chronic diseases, and it was 0.51 (95% CI, 0.42-0.61) in males aged 0-9 and 0.42 (95% CI, 0.35-0.50) in females aged 0-9 with one or more chronic diseases in the aspect of the effect of antiviral therapy on pneumonia. It suggests that antiviral therapy may decrease the incidence of pneumonia after influenza infection. CONCLUSION After outpatient episode incidence of influenza, antiviral treatment has been shown to reduce the incidence of hospitalized pneumonia, especially in infants and children, during pandemic season 2017. Antiviral therapy for influenza is recommended to minimize burden caused by influenza virus infection and to reduce pneumonia. In addition, medical costs of hospitalization may decrease by antiviral therapy, especially in infants and children.
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Affiliation(s)
- Kyeong Hyang Byeon
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- Department of Public Health, Graduate School, Hanyang University, Seoul, Korea
| | - Jaiyong Kim
- Institute of Artificial Intelligence and Big Data in Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
| | - Bo Youl Choi
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jin Yong Kim
- Division of Infectious Diseases, Department of Internal Medicine, Incheon Medical Center, Incheon, Korea
| | - Nakyoung Lee
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- Department of Public Health, Graduate School, Hanyang University, Seoul, Korea
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Abstract
Influenza is a very important respiratory infectious disease that causes seasonal epidemics and pandemics. A well-organized surveillance system is necessary to monitor and respond effectively to the epidemiologic features of influenza. Korea currently operates a national influenza surveillance system based on the clinical sentinel surveillance system, laboratory sentinel surveillance system, and hospitalization and mortality surveillance system. However, there is a need for a better national surveillance system due to a demand for various pieces of information related to influenza. This article discusses the general aspects of influenza surveillance systems and the future direction of the national influenza surveillance system of Korea.
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Affiliation(s)
- Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
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9
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Galochkina AV, Bollikanda RK, Zarubaev VV, Tentler DG, Lavrenteva IN, Slita AV, Chirra N, Kantevari S. Synthesis of novel derivatives of 7,8-dihydro-6H-imidazo[2,1-b][1,3]benzothiazol-5-one and their virus-inhibiting activity against influenza A virus. Arch Pharm (Weinheim) 2018; 352:e1800225. [PMID: 30520524 DOI: 10.1002/ardp.201800225] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/21/2018] [Accepted: 11/04/2018] [Indexed: 12/30/2022]
Abstract
Influenza remains a highly pathogenic and hardly controlled human infection. The ability of selecting drug-resistant variants necessitates the search and development of novel anti-influenza drugs. Herein, we describe the synthesis and evaluation of a series of novel 2-substituted 7,8-dihydro-6H-imidazo[2,1-b][1,3]benzothiazol-5-ones 3a-k for their virus-inhibiting activity against influenza A virus. The new analogues 3a-k prepared in two steps from commercially available cyclohexane-1,3-diones were fully characterized by their NMR and mass spectral data. Among the new derivatives screened for cytotoxicity and in vitro antiviral activity against influenza virus A/Puerto Rico/8/34 (H1N1) in MDCK cells, three analogues 3i-k containing a thiophene unit were found to exhibit high virus-inhibiting activity (high SI values) and a favorable toxicity profile. The compound 3j (CC50 : >1000 μM, SI = 77) with higher potency is the best anti-influenza hit analogue for further structural optimization and drug development. The most active compounds did not inhibit viral neuraminidase and possess therefore other targets and mechanisms of activity than the currently used neuraminidase inhibitors.
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Affiliation(s)
| | - Rakesh K Bollikanda
- Fluoro and Agrochemicals Division (Organic Chemistry Division-II), CSIR - Indian Institute of Chemical Technology, Hyderabad, India.,Academy of Scientific and Innovative Research, CSIR - Indian Institute of Chemical Technology, Hyderabad, India
| | | | | | - Irina N Lavrenteva
- Pasteur Institute of Epidemiology and Microbiology, St. Petersburg, Russia
| | - Alexander V Slita
- Pasteur Institute of Epidemiology and Microbiology, St. Petersburg, Russia
| | - Nagaraju Chirra
- Fluoro and Agrochemicals Division (Organic Chemistry Division-II), CSIR - Indian Institute of Chemical Technology, Hyderabad, India.,Academy of Scientific and Innovative Research, CSIR - Indian Institute of Chemical Technology, Hyderabad, India
| | - Srinivas Kantevari
- Fluoro and Agrochemicals Division (Organic Chemistry Division-II), CSIR - Indian Institute of Chemical Technology, Hyderabad, India.,Academy of Scientific and Innovative Research, CSIR - Indian Institute of Chemical Technology, Hyderabad, India
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10
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Heo JY, Song JY, Noh JY, Choi MJ, Yoon JG, Lee SN, Cheong HJ, Kim WJ. Effects of influenza immunization on pneumonia in the elderly. Hum Vaccin Immunother 2018; 14:744-749. [PMID: 29135343 PMCID: PMC5861791 DOI: 10.1080/21645515.2017.1405200] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 10/11/2017] [Accepted: 11/08/2017] [Indexed: 10/18/2022] Open
Abstract
Influenza virus is a common pathogen implicated in respiratory tract infections, annually affecting up to 20% of the general population, and pneumonia is a leading cause of death after influenza infection. Post-influenza pneumonia is especially common in the elderly and chronically ill patients. The risk of post-influenza pneumonia is significantly increased according to the number of concurrent comorbidities. Vaccination is the primary measure used to abate influenza epidemics and associated complications. In meta-analyses, influenza vaccine significantly reduces pneumonia- and influenza-related hospitalizations, with a vaccine effectiveness of 25-53%. However, considering the poor effectiveness of conventional influenza vaccines in the elderly, several highly immunogenic influenza vaccines have been developed. Further evaluations of the comparative effectiveness of diverse vaccine formulations are warranted to assess their utility for preventing influenza infection, post-influenza pneumonia, and related hospitalization/mortality. Based on cost-effectiveness and budget impact analysis, influenza vaccination strategies should be tailored in the elderly.
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Affiliation(s)
- Jung Yeon Heo
- Division of Infectious Diseases, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Asian Pacific Influenza Institute (APII), Korea University College of Medicine, Seoul, Republic of Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Asian Pacific Influenza Institute (APII), Korea University College of Medicine, Seoul, Republic of Korea
| | - Min Joo Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Asian Pacific Influenza Institute (APII), Korea University College of Medicine, Seoul, Republic of Korea
| | - Jin Gu Yoon
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Saem Na Lee
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Asian Pacific Influenza Institute (APII), Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Asian Pacific Influenza Institute (APII), Korea University College of Medicine, Seoul, Republic of Korea
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11
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Song JY, Noh JY, Lee J, Woo HJ, Lee JS, Wie SH, Kim YK, Jeong HW, Kim SW, Lee SH, Park KH, Kang SH, Kee SY, Kim TH, Choo EJ, Lee HS, Choi WS, Cheong HJ, Kim WJ. Hospital-based Influenza Morbidity and Mortality (HIMM) Surveillance for A/H7N9 Influenza Virus Infection in Returning Travelers. J Korean Med Sci 2018; 33:e49. [PMID: 29359537 PMCID: PMC5785625 DOI: 10.3346/jkms.2018.33.e49] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 10/30/2017] [Indexed: 12/19/2022] Open
Abstract
Since 2013, the Hospital-based Influenza Morbidity and Mortality (HIMM) surveillance system began a H7N9 influenza surveillance scheme for returning travelers in addition to pre-existing emergency room (ER)-based influenza-like illness (ILI) surveillance and severe acute respiratory infection (SARI) surveillance. Although limited to eastern China, avian A/H7N9 influenza virus is considered to have the highest pandemic potential among currently circulating influenza viruses. During the study period between October 1st, 2013 and April 30th, 2016, 11 cases presented with ILI within seven days of travel return. These patients visited China, Hong Kong, or neighboring Southeast Asian countries, but none of them visited a livestock market. Seasonal influenza virus (54.5%, 6 among 11) was the most common cause of ILI among returning travelers, and avian A/H7N9 influenza virus was not detected during the study period.
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Affiliation(s)
- Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Jacob Lee
- Division of Infectious Diseases, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Heung Jeong Woo
- Division of Infectious Diseases, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Jin Soo Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine, Incheon, Korea
| | - Seong Heon Wie
- Division of Infectious Diseases, Department of Internal Medicine, The Catholic University of Korea College of Medicine, St. Vincent's Hospital, Suwon, Korea
| | - Young Keun Kim
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Hye Won Jeong
- Division of Infectious Diseases, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Shin Woo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Sun Hee Lee
- Division of Infectious Diseases, Department of Internal Medicine, Pusan National University School of Medicine, Busan, Korea
| | - Kyung Hwa Park
- Department of Infectious Diseases, Chonnam National University Medical School, Gwangju, Korea
| | - Seong Hui Kang
- Division of Infectious Diseases, Department of Internal Medicine, Konyang University Hospital, Daejeon, Korea
| | - Sae Yoon Kee
- Division of Infectious Diseases, Department of Internal Medicine, Konkuk University Chungju Hospital, Chungju, Korea
| | - Tae Hyong Kim
- Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Eun Ju Choo
- Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Han Sol Lee
- BK21 Plus Graduate Program Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea.
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Chu S, Park SJ, Koo SM, Kim YK, Kim KU, Uh ST, Kim TH, Park S. Incidence and Risk Factors of Pneumonia in Hospitalized Patients with Seasonal Influenza A or B. Tuberc Respir Dis (Seoul) 2017; 80:392-400. [PMID: 28905532 PMCID: PMC5617856 DOI: 10.4046/trd.2016.0015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 02/21/2017] [Accepted: 05/15/2017] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Most patients with influenza recover spontaneously or following treatment with an anti-viral agent, but some patients experience pneumonia requiring hospitalization. We conducted a retrospective review to determine the incidence and risk factors of pneumonia in hospitalized patients with influenza A or B. METHODS A total of 213 patients aged 18 years or older and hospitalized with influenza between January 2012 and January 2015 were included in this study. A reverse-transcriptase polymerase chain reaction assay was used to detect the influenza A or B virus in the patients' sputum samples. We collected demographic and laboratory data, combined coexisting diseases, and radiologic findings. RESULTS The incidence of pneumonia was higher in patients in the influenza A group compared to those in the influenza B group (68.6% vs. 56.9%), but this difference was not statistically significant. The presence of underlying respiratory disease was significantly associated with pneumonia in the influenza A group (adjusted odds ratio [OR], 3.975; 95% confidence interval [CI], 1.312-12.043; p=0.015). In the influenza B group, the white blood cell count (adjusted OR, 1.413; 95% CI, 1.053-1.896; p=0.021), platelet count (adjusted OR, 0.988; 95% CI, 0.978-0.999; p=0.027), and existence of an underlying medical disease (adjusted OR, 15.858; 95% CI, 1.757-143.088; p=0.014) were all significantly associated with pneumonia in multivariate analyses. CONCLUSION The incidence of pneumonia was 65.7% in hospitalized patients with influenza A or B. The risk factors of pneumonia differed in hospitalized patients with influenza A or B.
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Affiliation(s)
- Seongjun Chu
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Sang Joon Park
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - So My Koo
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Yang Ki Kim
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Ki Up Kim
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Soo Taek Uh
- Division of Pulmonary and Allergy Medicine, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea.
| | - Tae Hyung Kim
- Division of Infectious Disease, Department of Internal Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Suyeon Park
- Department of Biostatistics, Soonchunhyang University Hospital, Seoul, Korea
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13
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Keam B, Kim MK, Park WB. Reply to Influenza vaccination in patients with cancer. Cancer 2017; 123:1273. [DOI: 10.1002/cncr.30611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 01/11/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Bhumsuk Keam
- Department of Internal Medicine; Seoul National University College of Medicine; Seoul Republic of Korea
| | - Min-Kyung Kim
- Department of Internal Medicine; Seoul National University College of Medicine; Seoul Republic of Korea
| | - Wan Beom Park
- Department of Internal Medicine; Seoul National University College of Medicine; Seoul Republic of Korea
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Affiliation(s)
- Sang Ho Choi
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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