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Warmath CR, Ortega-Sanchez IR, Duca LM, Porter RM, Usher MG, Bresee JS, Lafond KE, Davis WW. Comparisons in the Health and Economic Assessments of Using Quadrivalent Versus Trivalent Influenza Vaccines: A Systematic Literature Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:768-779. [PMID: 36436790 DOI: 10.1016/j.jval.2022.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 10/05/2022] [Accepted: 11/16/2022] [Indexed: 05/03/2023]
Abstract
OBJECTIVES Seasonal influenza vaccines protect against 3 (trivalent influenza vaccine [IIV3]) or 4 (quadrivalent influenza vaccine [IIV4]) viruses. IIV4 costs more than IIV3, and there is a trade-off between incremental cost and protection. This is especially the case in low- and middle-income countries (LMICs) with limited budgets; previous reviews have not identified studies of IIV4-IIV3 comparisons in LMICs. We summarized the literature that compared health and economic outcomes of IIV4 and IIV3, focused on LMICs. METHODS We systematically searched 5 databases for articles published before October 6, 2021, that modeled health or economic effects of IIV4 versus IIV3. We abstracted data and compared findings among countries and models. RESULTS Thirty-eight studies fit our selection criteria; 10 included LMICs. Most studies (N = 31) reported that IIV4 was cost-saving or cost-effective compared with IIV3; we observed no difference in health or economic outcomes between LMICs and other countries. Based on cost differences of influenza vaccines, only one study compared coverage of IIV3 with IIV4 and reported that the maximum IIV4 price that would still yield greater public health impact than IIV3 was 13% to 22% higher than IIV3. CONCLUSIONS When vaccination coverage with IIV4 and IIV3 is the same, IIV4 tends to be not only more effective but more cost-effective than IIV3, even with relatively high price differences between vaccine types. Alternatively, where funding is limited as in most LMICs, higher vaccine coverage can be achieved with IIV3 than IIV4, which could result in more favorable health and economic outcomes.
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Affiliation(s)
- Clara R Warmath
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
| | - Ismael R Ortega-Sanchez
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lindsey M Duca
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Rachael M Porter
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Molly G Usher
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
| | - Joseph S Bresee
- Partnership for Influenza Vaccine Introduction, The Task Force for Global Health, Decatur, GA, USA
| | - Kathryn E Lafond
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA
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Wolk DM, Lanyado A, Tice AM, Shermohammed M, Kinar Y, Goren A, Chabris CF, Meyer MN, Shoshan A, Abedi V. Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications. J Clin Med 2022; 11:jcm11154342. [PMID: 35893436 PMCID: PMC9332321 DOI: 10.3390/jcm11154342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 12/02/2022] Open
Abstract
Influenza vaccinations are recommended for high-risk individuals, but few population-based strategies exist to identify individual risks. Patient-level data from unvaccinated individuals, stratified into retrospective cases (n = 111,022) and controls (n = 2,207,714), informed a machine learning model designed to create an influenza risk score; the model was called the Geisinger Flu-Complications Flag (GFlu-CxFlag). The flag was created and validated on a cohort of 604,389 unique individuals. Risk scores were generated for influenza cases; the complication rate for individuals without influenza was estimated to adjust for unrelated complications. Shapley values were used to examine the model’s correctness and demonstrate its dependence on different features. Bias was assessed for race and sex. Inverse propensity weighting was used in the derivation stage to correct for biases. The GFlu-CxFlag model was compared to the pre-existing Medial EarlySign Flu Algomarker and existing risk guidelines that describe high-risk patients who would benefit from influenza vaccination. The GFlu-CxFlag outperformed other traditional risk-based models; the area under curve (AUC) was 0.786 [0.783−0.789], compared with 0.694 [0.690−0.698] (p-value < 0.00001). The presence of acute and chronic respiratory diseases, age, and previous emergency department visits contributed most to the GFlu-CxFlag model’s prediction. When higher numerical scores were assigned to more severe complications, the GFlu-CxFlag AUC increased to 0.828 [0.823−0.833], with excellent discrimination in the final model used to perform the risk stratification of the population. The GFlu-CxFlag can better identify high-risk individuals than existing models based on vaccination guidelines, thus creating a population-based risk stratification for individual risk assessment and deployment in vaccine hesitancy reduction programs in our health system.
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Affiliation(s)
- Donna M. Wolk
- Department of Laboratory Medicine, Diagnostic Medicine Institute, Geisinger, Danville, PA 17822, USA;
- Geisinger Commonwealth School of Medicine, Scranton, PA 18509, USA
- Correspondence:
| | - Alon Lanyado
- Medial EarlySign, 6 Hangar Road, Hod Hasharon 4527703, Israel; (A.L.); (Y.K.); (A.S.)
| | - Ann Marie Tice
- Department of Laboratory Medicine, Diagnostic Medicine Institute, Geisinger, Danville, PA 17822, USA;
| | - Maheen Shermohammed
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger, Danville, PA 17822, USA; (M.S.); (A.G.); (C.F.C.); (M.N.M.)
| | - Yaron Kinar
- Medial EarlySign, 6 Hangar Road, Hod Hasharon 4527703, Israel; (A.L.); (Y.K.); (A.S.)
| | - Amir Goren
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger, Danville, PA 17822, USA; (M.S.); (A.G.); (C.F.C.); (M.N.M.)
| | - Christopher F. Chabris
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger, Danville, PA 17822, USA; (M.S.); (A.G.); (C.F.C.); (M.N.M.)
| | - Michelle N. Meyer
- Behavioral Insights Team, Steele Institute for Health Innovation, Geisinger, Danville, PA 17822, USA; (M.S.); (A.G.); (C.F.C.); (M.N.M.)
| | - Avi Shoshan
- Medial EarlySign, 6 Hangar Road, Hod Hasharon 4527703, Israel; (A.L.); (Y.K.); (A.S.)
| | - Vida Abedi
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA;
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Chien SJ, Hsieh YJ, Shih YL, Tseng YJ. Clinical characteristics and outcomes of mixed virus or bacterial infection in children with laboratory-confirmed influenza infection. J Formos Med Assoc 2022; 121:2074-2084. [PMID: 35331620 DOI: 10.1016/j.jfma.2022.03.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/19/2022] [Accepted: 03/02/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND/PURPOSE This study investigated the demographic characteristics and influenza complications of paediatric patients and explored the association of different influenza virus types and viral and bacterial coinfections with disease severity. METHODS This retrospective cohort study used data collected in 2010-2016 from the Chang Gung Research Database (CGRD), the largest collection of multi-institutional electronic medical records in Taiwan. Data were retrieved for children aged 0-18 years with laboratory-confirmed influenza. We extracted and analysed the demographic characteristics and the data on clinical features, complications, microbiological information, and advanced therapies of each case. RESULTS We identified 6193 children with laboratory-confirmed influenza, of whom 1964 (31.7%) were hospitalised. The age of patients with influenza A infection was lower than that of patients with influenza B (4.48 vs. 6.68, p < 0.001). Patients with influenza B infection had a higher incidence of myositis or rhabdomyolysis (4.4%, p < 0.001) and a higher need for advanced therapies (OR, 1.96; 95% CI, 1.32-2.9, p < 0.001). In addition to bacterial (OR, 9.07; 95% CI, 5.29-15.54, p < 0.001) and viral coinfection (OR, 7.73; 95% CI, 5.4-11.07, p < 0.001), dual influenza A and B infection was also a risk factor for influenza complications (OR, 2.13; 95% CI, 1.47-3.09, p < 0.001). CONCLUSION Dual influenza A and B infection and bacterial coinfection can contribute to influenza complications. Early recognition of any influenza complication is critical for the timely initiation of organ-specific advanced therapies to improve influenza-associated outcomes.
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Affiliation(s)
- Shao-Ju Chien
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Kaohsiung, Taiwan; Department of Early Childhood Care and Education, Cheng Shiu University, Kaohsiung, Taiwan
| | - Yun-Jung Hsieh
- Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan; Department of Information Management, Chung Gung University, Taoyuan, Taiwan
| | - Yu-Lien Shih
- Department of Information Management, Chung Gung University, Taoyuan, Taiwan; Department of Nursing, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Yi-Ju Tseng
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
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Edwards G, Newbould L, Nesbitt C, Rogers M, Morris RL, Hay AD, Campbell SM, Hayward G. Predicting poor outcomes in children aged 1-12 with respiratory tract infections: A systematic review. PLoS One 2021; 16:e0249533. [PMID: 33872323 PMCID: PMC8055026 DOI: 10.1371/journal.pone.0249533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/22/2021] [Indexed: 11/21/2022] Open
Abstract
Background Demand for NHS services is high and rising. In children respiratory tract infections (RTI) are the most common reason for consultation with primary care. Understanding which features are associated with good and poor prognosis with RTI will help develop interventions to support parents manage illness. Aim To identify symptoms, signs, and investigation results associated with good and poor prognosis, and clinical decision making in children aged 1–12 years with RTI symptoms, at home and presenting to ambulatory care. Design and setting Systematic literature review. Methods We searched MEDLINE, EMBASE, Cinahl, Web of Science and the Cochrane database of systematic reviews for studies of children aged 1 to 12 years with a RTI or related condition reporting symptoms, signs and investigation results associated with prognostic outcomes. Quality was assessed using the QUIPS tool. Results We included 27 studies which included 34802 children and measured 192 factors. Nine studies explored future outcomes and the remainder explored clinical management from the initial consultation with the health services. None were conducted in a home setting. Respiratory signs, vomiting, fever, dehydration and tachycardia at the initial contact were associated with future hospitalisation. Little evidence was available for other outcomes. Conclusion Some evidence is available to clinicians to stratify risk of, future hospitalisation, but not of other prognostic outcomes. There is little evidence available to parents to identify children at risk of poor prognosis. Research is needed into whether poor prognosis can be predicted by parents in the home.
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Affiliation(s)
- George Edwards
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- * E-mail:
| | - Louise Newbould
- Social Policy Research Unit, University of York, York, United Kingdom
| | - Charlotte Nesbitt
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Miranda Rogers
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Rebecca L. Morris
- Division of Population Health, NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Alastair D. Hay
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Stephen M. Campbell
- Division of Population Health, NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Gail Hayward
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Yao Y, Zhipeng Z, Wenqi S, Runqing L, Dong Z, Kun Q, Xiuying Z. Unreliable usage of a single influenza virus IgM antibody assay in influenza-like illness: A retrospective study of the 2016-2018 flu epidemic. PLoS One 2019; 14:e0215514. [PMID: 31009494 PMCID: PMC6476501 DOI: 10.1371/journal.pone.0215514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/03/2019] [Indexed: 01/17/2023] Open
Abstract
We retrospectively analyzed serum IgM antibodies (Abs) to influenza viruses from two tertiary hospitals in Beijing from December 2016 to February 2018. Samples from 36,792 patients, aged 0–98 years, were collected and tested. Among the patients, 923 children from two winter flu seasons were assayed with both antigens and IgM Abs to Flu A and Flu B and assigned as paired groups. Another 2,340 adults and 1,978 children with only antigen tested in the 2016 and 2017 winter flu seasons were named as unpaired groups. IgM Abs-positivity rates in children were 0.80% and 36.57% for Flu A and Flu B, respectively, peaking at 4–5 years of age. For adults, the Flu A and Flu B IgM Abs-positivity rates were 10.34% and 21.49%, respectively, peaking at 18–35 years of age. The trend of temporal distribution between the children and the adults was significantly correlated for IgM Abs to Flu B, but not for Flu A. Compared with unpaired groups, the detection rate of Flu A antigen was significantly higher than IgM Abs in children, whereas frequencies of IgM Abs were higher than antigen in adults. Incidence of Flu B antigen was sharply increased in 2017 winter than in the 2016 winter in both children and adults, but no concomitant increase was observed in IgM Abs to Flu B. For paired children groups, incidence of Flu B antigen in the 2017 flu season was significantly higher than that in the 2016 flu season; in contrast, positive rates of IgM Abs in the 2017 flu season were even lower than those in 2016. Considering antigen detection may reflect the Flu A/Flu B epidemic, our results indicate single-assayed IgM Abs were less effective in the diagnosis of acute influenza virus infection, and the use of this assay for epidemiology evaluations was not supported by these findings.
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Affiliation(s)
- Yao Yao
- Department of Clinical Laboratory, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Zhao Zhipeng
- Department of Clinical Laboratory, Beijing Tsinghua Chang-gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, PR. China
| | - Song Wenqi
- Department of Clinical Laboratory, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Li Runqing
- Department of Clinical Laboratory, Beijing Tsinghua Chang-gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, PR. China
| | - Zhu Dong
- Department of Clinical Laboratory, Beijing Tsinghua Chang-gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, PR. China
| | - Qin Kun
- Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, China CDC, National Health and Family Planning Commission. Beijing, PR. China
| | - Zhao Xiuying
- Department of Clinical Laboratory, Beijing Tsinghua Chang-gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, PR. China
- * E-mail:
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Severe Obesity in Children May Not Pose Independent Risk for Influenza Complications. J Pediatr Nurs 2018; 42:21-24. [PMID: 30219295 DOI: 10.1016/j.pedn.2018.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 05/23/2018] [Accepted: 05/25/2018] [Indexed: 11/21/2022]
Abstract
PURPOSE Subsets of children are targeted for influenza vaccination due to known conditions that increase the risk of influenza complications. The purpose of this study was to determine if severe obesity in children suggests targeted vaccination. DESIGN AND METHODS A retrospective chart review of a large Midwestern pediatric hospital identified 188 cases of influenza complications (defined as requiring hospitalization or death) aged 2 to <20 years old from August 1, 2010 through June 30, 2013. Severe obesity was defined as body mass index (BMI) ≥99% for age and gender, with patients grouped by severe obesity status (yes vs. no). Cases were reviewed for previously identified risk conditions for influenza complications (e.g., asthma, pneumonia, diabetes), and were classified as having or not having a known high risk condition. RESULTS Of 188 cases, 174 (93%) had a high-risk condition, while only 14 (7%) had no known condition. All 14 (100%) with no known high-risk condition had a BMI <99%. All 15 (100%) with BMI ≥99% had a known high-risk condition. The association between severe obesity status and influenza complications was not statistically significant (p = 0.61). CONCLUSIONS This suggests that severe obesity in children is not an independent high-risk condition for influenza complications defined as requiring hospitalization or resulting in death, once other known influenza risk factors are considered. IMPLICATIONS Based on this data, clinicians should not target children for influenza vaccination based on weight status. We cannot comment about whether severe obesity represents increased risk for less severe cases of influenza.
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7
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Jabbarli R, Reinhard M, Roelz R, Shah M, Niesen WD, Kaier K, Taschner C, Weyerbrock A, Van Velthoven V. Intracerebral Hematoma Due to Aneurysm Rupture: Are There Risk Factors Beyond Aneurysm Location? Neurosurgery 2017; 78:813-20. [PMID: 26619334 DOI: 10.1227/neu.0000000000001136] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Along with subarachnoid hemorrhage (SAH), a ruptured aneurysm may also cause an intracerebral hematoma (ICH), which negatively impacts the functional outcome of SAH. OBJECTIVE To identify independent risk factors of aneurysmal ICH. METHODS Six hundred thirty-two consecutive patients with aneurysmal SAH treated at our institution from January 2005 to December 2012 were eligible for this study. Demographic parameters and preexisting comorbidities of patients, as well as various clinical and radiographic characteristics of SAH were correlated with the incidence and volume of aneurysmal ICH. RESULTS One hundred fifty-five patients (25%) had ICH on initial computed tomography with a mean volume of 26.7 mL (±26.8 mL). Occurrence and volume of ICH were associated with the location (distal anterior or middle cerebral artery >proximal anterior cerebral or internal carotid artery >posterior circulation, P < .001/P < .001) and size (>12 mm, P = .026/P < .001) of the ruptured aneurysm. Vascular risk factors independently increased the risk of ICH as well (arterial hypertension: odds ratio [OR] = 1.62, P = .032; diabetes mellitus: OR = 3.06, P = .009), while the use of aspirin (P = .037) correlated with the volume of ICH. The predictors of ICH were included into a risk score (0-9 points) that strongly predicted the occurrence of ICH (P = .01). Poor functional outcome after SAH was independently associated with the occurrence of ICH (P = .003, OR = 2.77) and its volume (P = .001, OR = 1.07 per-mL-increase). CONCLUSION Aneurysmal ICH is strongly associated with poorer functional outcome and seems to be predictable even before the bleeding event. The proposed risk factors for aneurysmal ICH require further validation and may be considered for treatment decisions regarding unruptured intracranial aneurysms. ABBREVIATIONS ACA, anterior cerebral arteryDHC, decompressive hemicraniectomyEVD, external ventricular drainageICA, internal carotid arteryICH, intracerebral hematomaMCA, middle cerebral arterymRS, modified Rankin scalePC, posterior circulationSAH, subarachnoid hemorrhageSIRS, systemic inflammatory response syndromeTCD, transcranial Doppler sonography.
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Affiliation(s)
- Ramazan Jabbarli
- *Department of Neurosurgery, University Medical Center Freiburg, Freiburg, Germany; ‡Department of Neurosurgery, University Hospital Essen, Essen, Germany; §Department of Neurology, University Medical Center Freiburg, Freiburg, Germany; ‖Institute for Medical Biometry and Medical Informatics, University Medical Center Freiburg, Freiburg, Germany; ¶Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany
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Lazaros G, Zografos T, Oikonomou E, Siasos G, Georgiopoulos G, Vavuranakis M, Antonopoulos A, Kalogeras K, Tsalamandris S, Tousoulis D. Usefulness of C-Reactive Protein as a Predictor of Contrast-Induced Nephropathy After Percutaneous Coronary Interventions in Patients With Acute Myocardial Infarction and Presentation of a New Risk Score (Athens CIN Score). Am J Cardiol 2016; 118:1329-1333. [PMID: 27745963 DOI: 10.1016/j.amjcard.2016.07.069] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Revised: 07/28/2016] [Accepted: 07/28/2016] [Indexed: 01/09/2023]
Abstract
Contrast-induced nephropathy (CIN) after percutaneous coronary interventions (PCI) in patients with acute myocardial infarction (AMI) is associated with high morbidity and mortality, whereas there are no reliable predictive tools easy to use. We evaluated the association of pre-procedural high-sensitivity C-reactive protein (hsCRP) with the development of CIN and integrated this variable in a new risk CIN prediction model. Consecutive patients (348 AMI subjects) who underwent PCI were recruited. Creatinine levels were detected on admission, at 24, 48, and 72 hours after PCI. CIN was defined using the Kidney Disease: Improving Global Outcomes criteria. In our study population (348 subjects), CIN developed in 54 patients (15.5%). Patients with CIN were older and had higher hsCRP at admission, whereas their ejection fraction (EF) and glomerular filtration rate (GFR) were lower. In multivariate analysis after incorporating potential confounders, hsCRP at admission was an independent predictor of CIN (OR for logCRP 2.00, p = 0.01). In receiver-operating characteristic curve analysis, a model incorporating hsCRP, age, GFR, and EF showed good accuracy in predicting the development of CIN (c statistic 0.84, 95% confidence interval 0.793 to 0.879). A total risk score derived from the proposed model yielded significant positive and negative predictive values and classified 85.8% of our patients correctly for CIN. In conclusion, measuring hsCRP levels at admission in patients who underwent PCI for AMI may offer additional assistance in predicting the development of CIN. A model incorporating age and admission hsCRP, EF, and GFR emerged as an accurate tool for predicting CIN in this context.
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Tran D, Vaudry W, Moore D, Bettinger JA, Halperin SA, Scheifele DW, Jadvji T, Lee L, Mersereau T. Hospitalization for Influenza A Versus B. Pediatrics 2016; 138:peds.2015-4643. [PMID: 27535144 DOI: 10.1542/peds.2015-4643] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/21/2016] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The extent to which influenza A and B infection differs remains uncertain. METHODS Using active surveillance data from the Canadian Immunization Monitoring Program Active at 12 pediatric hospitals, we compared clinical characteristics and outcomes of children ≤16 years admitted with laboratory-confirmed influenza B or seasonal influenza A. We also examined factors associated with ICU admission in children hospitalized with influenza B. RESULTS Over 8 nonpandemic influenza seasons (2004-2013), we identified 1510 influenza B and 2645 influenza A cases; median ages were 3.9 and 2.0 years, respectively (P < .0001). Compared with influenza A patients, influenza B patients were more likely to have a vaccine-indicated condition (odds ratio [OR] = 1.30; 95% confidence interval [CI] = 1.14-1.47). Symptoms more often associated with influenza B were headache, abdominal pain, and myalgia (P < .0001 for all symptoms after adjustment for age and health status). The proportion of deaths attributable to influenza was significantly greater for influenza B (1.1%) than influenza A (0.4%); adjusted for age and health status, OR was 2.65 (95% CI = 1.18-5.94). A similar adjusted OR was obtained for all-cause mortality (OR = 2.95; 95% CI = 1.34-6.49). Among healthy children with influenza B, age ≥10 years (relative to <6 months) was associated with the greatest odds of ICU admission (OR = 5.79; 95% CI = 1.91-17.57). CONCLUSIONS Mortality associated with pediatric influenza B infection was greater than that of influenza A. Among healthy children hosptialized with influenza B, those 10 years and older had a significant risk of ICU admission.
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Affiliation(s)
- Dat Tran
- Division of Infectious Diseases, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada;
| | - Wendy Vaudry
- Division of Infectious Diseases, Department of Paediatrics, Stollery Children's Hospital, University of Alberta, Edmonton Alberta, Canada
| | - Dorothy Moore
- Division of Infectious Diseases, Department of Paediatrics, Montreal Children's Hospital, McGill University, Montreal, Québec, Canada
| | - Julie A Bettinger
- Vaccine Evaluation Center, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Scott A Halperin
- Canadian Center for Vaccinology, IWK Health Centre, Dalhousie University, Halifax, Nova Scotia, Canada
| | - David W Scheifele
- Vaccine Evaluation Center, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Taj Jadvji
- Section of Infectious Diseases, Department of Paediatrics, Alberta Children's Hospital, University of Calgary, Calgary, Alberta, Canada; and
| | - Liza Lee
- Centre for Immunization & Respiratory Infectious Diseases, Public Health Agency of Canada, Ottawa, Canada
| | - Teresa Mersereau
- Centre for Immunization & Respiratory Infectious Diseases, Public Health Agency of Canada, Ottawa, Canada
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Jabbarli R, Müller O. Authors' reply. Eur J Neurol 2016; 23:e42-3. [DOI: 10.1111/ene.13035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 04/04/2016] [Indexed: 11/30/2022]
Affiliation(s)
- R. Jabbarli
- Department of Neurosurgery; University Hospital Essen; Essen Germany
| | - O. Müller
- Department of Neurosurgery; University Hospital Essen; Essen Germany
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Tafalla M, Buijssen M, Geets R, Vonk Noordegraaf-Schouten M. A comprehensive review of the epidemiology and disease burden of Influenza B in 9 European countries. Hum Vaccin Immunother 2016; 12:993-1002. [PMID: 26890005 PMCID: PMC4962970 DOI: 10.1080/21645515.2015.1111494] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 09/28/2015] [Accepted: 10/17/2015] [Indexed: 12/15/2022] Open
Abstract
This review was undertaken to consolidate information on the epidemiology and burden of influenza B, as well as the circulation patterns of influenza B lineage in 9 European countries. Following a comprehensive search of peer-reviewed and gray literature sources, we found that published data on influenza B epidemiology and burden are scarce. Surveillance data show frequent co-circulation of both influenza B lineages during influenza seasons, but little is known about its impact, especially in adults and the clinical burden of influenza B remains unknown. Mismatch between the circulating influenza B lineage and vaccine recommendations has been seen in at least one influenza season in every country. Such observations could impact the effectiveness of seasonal influenza vaccination programs using trivalent vaccines, which contain only one influenza B lineage (B/Yamagata or B/Victoria) and highlight the need for local studies to better understand the epidemiology and burden of influenza B in these countries.
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Abstract
Respiratory emergencies are 1 of the most common reasons parents seek evaluation for the their children in the emergency department (ED) each year, and respiratory failure is the most common cause of cardiopulmonary arrest in pediatric patients. Whereas many respiratory illnesses are mild and self-limiting, others are life threatening and require prompt diagnosis and management. Therefore, it is imperative that emergency clinicians be able to promptly recognize and manage these illnesses. This article reviews ED diagnosis and management of foreign body aspiration, asthma exacerbation, epiglottitis, bronchiolitis, community-acquired pneumonia, and pertussis.
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Giamberardin HIG, Homsani S, Bricks LF, Pacheco APO, Guedes M, Debur MC, Raboni SM. Clinical and epidemiological features of respiratory virus infections in preschool children over two consecutive influenza seasons in southern Brazil. J Med Virol 2016; 88:1325-33. [PMID: 26773605 PMCID: PMC7167150 DOI: 10.1002/jmv.24477] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2016] [Indexed: 12/22/2022]
Abstract
This study reports the results of a systematic screening for respiratory viruses in pediatric outpatients from an emergency department (ED) in southern Brazil during two consecutive influenza seasons. Children eligible for enrollment in this study were aged 24–59 months and presented with acute respiratory symptoms and fever. Naso‐ and oropharyngeal swabs were collected and multiplex reverse transcription PCR (RT‐PCR) was performed to identify the respiratory viruses involved. In total, 492 children were included in this study: 248 in 2010 and 244 in 2011. In 2010, 136 samples (55%) were found to be positive for at least one virus and the most frequently detected viruses were human rhinovirus (HRV) (18%), adenovirus (AdV) (13%), and human coronavirus (CoV) (5%). In 2011, 158 samples (65%) were found to be positive for at least one virus, and the most frequently detected were HRV (29%), AdV (12%), and enterovirus (9%). Further, the presence of asthma (OR, 3.17; 95% CI, 1.86–5.46) was independently associated with HRV infection, whereas fever was associated with AdV (OR, 3.86; 95% CI, 1.31–16.52) and influenza infections (OR, 3.74; 95% CI, 1.26–16.06). Ten patients (2%) were diagnosed with pneumonia, and six of these tested positive for viral infection (4 HRV, 1 RSV, and 1 AdV). Thus, this study identified the most common respiratory viruses found in preschool children in the study region and demonstrated their high frequency, highlighting the need for improved data collection, and case management in order to stimulate preventive measures against these infections. J. Med. Virol. 88:1325–1333, 2016. © 2016 Wiley Periodicals, Inc.
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Early identification of individuals at high risk for cerebral infarction after aneurysmal subarachnoid hemorrhage: the BEHAVIOR score. J Cereb Blood Flow Metab 2015; 35:1587-92. [PMID: 25920954 PMCID: PMC4640318 DOI: 10.1038/jcbfm.2015.81] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Revised: 03/12/2015] [Accepted: 03/25/2015] [Indexed: 11/09/2022]
Abstract
Cerebral infarction (CI) is a crucial complication of aneurysmal subarachnoid hemorrhage (SAH) associated with poor clinical outcome. We aimed at developing an early risk score for CI based on clinical characteristics available at the onset of SAH. Out of a database containing 632 consecutive patients with SAH admitted to our institution from January 2005 to December 2012, computed tomography (CT) scans up to day 42 after ictus were evaluated for CIs. Different parameters from admission up to aneurysm treatment were collected with subsequent construction of a risk score. Seven clinical characteristics were independently associated with CI and included in the Risk score (BEHAVIOR Score, 0 to 11 points): Blood on CT scan according to Fisher grade ⩾3 (1 point), Elderly patients (age ⩾55 years, 1 point), Hunt&Hess grade ⩾4 (1 point), Acute hydrocephalus requiring external liquor drainage (1 point), Vasospasm on initial angiogram (3 points), Intracranial pressure elevation >20 mm Hg (3 points), and treatment of multiple aneurysms ('Overtreatment', 1 point). The BEHAVIOR score showed high diagnostic accuracy with respect to the absolute risk for CI (area under curve=0.806, P<0.0001) and prediction of poor clinical outcome at discharge (P<0.0001) and after 6 months (P=0.0002). Further validation in other SAH cohorts is recommended.
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Gill PJ, Ashdown HF, Wang K, Heneghan C, Roberts NW, Harnden A, Mallett S. Identification of children at risk of influenza-related complications in primary and ambulatory care: a systematic review and meta-analysis. THE LANCET RESPIRATORY MEDICINE 2015; 3:139-149. [DOI: 10.1016/s2213-2600(14)70252-8] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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16
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Quinn E, Jit M, Newall AT. Key issues and challenges in estimating the impact and cost-effectiveness of quadrivalent influenza vaccination. Expert Rev Pharmacoecon Outcomes Res 2014; 14:425-35. [PMID: 24734967 DOI: 10.1586/14737167.2014.908713] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Evidence has shown that quadrivalent influenza vaccines containing all four subtypes are safe and immunogenic. However, to date there have been few published studies exploring the population-level clinical and economic impact of quadrivalent compared to trivalent influenza vaccines. Economic evaluation studies need to be conducted in order to inform country-level decision making about whether (and how to) introduce and replace the current trivalent influenza vaccines with quadrivalent influenza vaccination programs. Several key issues associated with estimating the clinical and economic impact of the trivalent versus quadrivalent vaccines are discussed in this article, particularly the complexities involved in estimating the incremental preventable disease and economic burden. Other factors, such as the indirect (herd) protection from quadrivalent influenza vaccination and the timing of the replacement of trivalent influenza vaccination programs are also discussed.
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Affiliation(s)
- Emma Quinn
- NSW Ministry of Health , Sydney , Australia
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17
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Yu H, Huang J, Huai Y, Guan X, Klena J, Liu S, Peng Y, Yang H, Luo J, Zheng J, Chen M, Peng Z, Xiang N, Huo X, Xiao L, Jiang H, Chen H, Zhang Y, Xing X, Xu Z, Feng Z, Zhan F, Yang W, Uyeki TM, Wang Y, Varma JK. The substantial hospitalization burden of influenza in central China: surveillance for severe, acute respiratory infection, and influenza viruses, 2010-2012. Influenza Other Respir Viruses 2014; 8:53-65. [PMID: 24209711 PMCID: PMC4177798 DOI: 10.1111/irv.12205] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2013] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Published data on influenza in severe acute respiratory infection (SARI) patients are limited. We conducted SARI surveillance in central China and estimated hospitalization rates of SARI attributable to influenza by viral type/subtype. METHODS Surveillance was conducted at four hospitals in Jingzhou, China from 2010 to 2012. We enrolled hospitalized patients who had temperature ≥37·3°C and at least one of: cough, sore throat, tachypnea, difficulty breathing, abnormal breath sounds on auscultation, sputum production, hemoptysis, chest pain, or chest radiograph consistent with pneumonia. A nasopharyngeal swab was collected from each case-patient within 24 hours of admission for influenza testing by real-time reverse transcription PCR. RESULTS Of 17 172 SARI patients enrolled, 90% were aged <15 years. The median duration of hospitalization was 5 days. Of 16 208 (94%) SARI cases tested, 2057 (13%) had confirmed influenza, including 1427 (69%) aged <5 years. Multiple peaks of influenza occurred during summer, winter, and spring months. Influenza was associated with an estimated 115 and 142 SARI hospitalizations per 100 000 during 2010-2011 and 2011-2012 [including A(H3N2): 55 and 44 SARI hospitalizations per 100 000; pandemic A(H1N1): 33 SARI hospitalizations per 100 000 during 2010-2011; influenza B: 26 and 98 hospitalizations per 100 000], with the highest rate among children aged 6-11 months (3603 and 3805 hospitalizations per 100 000 during 2010-2011 and 2011-2012, respectively). CONCLUSIONS In central China, influenza A and B caused a substantial number of hospitalizations during multiple periods each year. Our findings strongly suggest that young children should be the highest priority group for annual influenza vaccination in China.
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Affiliation(s)
- Hongjie Yu
- Divison of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Jigui Huang
- Jingzhou Center for Disease Control and PreventionJingzhou, China
| | - Yang Huai
- China-US Collaborative Program on Emerging and Re-emerging Infection Disease, US Centers for Disease Control and PreventionBeijing, China
| | - Xuhua Guan
- Hubei Provincial Centre for Disease Control and PreventionWuhan, China
| | - John Klena
- China-US Collaborative Program on Emerging and Re-emerging Infection Disease, US Centers for Disease Control and PreventionBeijing, China
| | - Shali Liu
- Jingzhou Central HospitalJingzhou, China
| | | | - Hui Yang
- Jingzhou Second People's HospitalJingzhou, China
| | - Jun Luo
- Jingzhou Maternal and Children's HospitalJingzhou, China
| | - Jiandong Zheng
- Divison of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Maoyi Chen
- Jingzhou Center for Disease Control and PreventionJingzhou, China
| | - Zhibin Peng
- Divison of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Nijuan Xiang
- Public Health Emergency Center, Chinese Center for Disease Control and PreventionBeijing, China
| | - Xixiang Huo
- Hubei Provincial Centre for Disease Control and PreventionWuhan, China
| | - Lin Xiao
- Jingzhou Center for Disease Control and PreventionJingzhou, China
| | - Hui Jiang
- Divison of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Hui Chen
- Hubei Provincial Centre for Disease Control and PreventionWuhan, China
| | - Yuzhi Zhang
- China-US Collaborative Program on Emerging and Re-emerging Infection Disease, US Centers for Disease Control and PreventionBeijing, China
| | - Xuesen Xing
- Hubei Provincial Centre for Disease Control and PreventionWuhan, China
| | - Zhen Xu
- Divison of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Zijian Feng
- Public Health Emergency Center, Chinese Center for Disease Control and PreventionBeijing, China
| | - Faxian Zhan
- Hubei Provincial Centre for Disease Control and PreventionWuhan, China
| | - Weizhong Yang
- Chinese Center for Disease Control and PreventionBeijing, China
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and PreventionAtlanta, GA, USA
| | - Yu Wang
- Chinese Center for Disease Control and PreventionBeijing, China
| | - Jay K Varma
- China-US Collaborative Program on Emerging and Re-emerging Infection Disease, US Centers for Disease Control and PreventionBeijing, China
- Global Disease Detection Program, Division of Global Disease Detection and Response, Center for Global Health, Centers for Disease Control and PreventionAtlanta, GA, USA
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Mertz D, Kim TH, Johnstone J, Lam PP, Science M, Kuster SP, Fadel SA, Tran D, Fernandez E, Bhatnagar N, Loeb M. Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis. BMJ 2013; 347:f5061. [PMID: 23974637 PMCID: PMC3805492 DOI: 10.1136/bmj.f5061] [Citation(s) in RCA: 420] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
OBJECTIVE To evaluate risk factors for severe outcomes in patients with seasonal and pandemic influenza. DESIGN Systematic review. STUDY SELECTION Observational studies reporting on risk factor-outcome combinations of interest in participants with influenza. Outcomes included death, ventilator support, admission to hospital, admission to an intensive care unit, pneumonia, and composite outcomes. DATA SOURCES Medline, Embase, CINAHL, Global Health, and the Cochrane Central Register of Controlled Trials to March 2011. RISK OF BIAS ASSESSMENT Newcastle-Ottawa scale to assess the risk of bias. GRADE framework to evaluate the quality of evidence. RESULTS 63 537 articles were identified of which 234 with a total of 610 782 participants met the inclusion criteria. The evidence supporting risk factors for severe outcomes of influenza ranged from being limited to absent. This was particularly relevant for the relative lack of data for non-2009 H1N1 pandemics and for seasonal influenza studies. Limitations in the published literature included lack of power and lack of adjustment for confounders was widespread: adjusted risk estimates were provided for only 5% of risk factor-outcome comparisons in 39 of 260 (15%) studies. The level of evidence was low for "any risk factor" (odds ratio for mortality 2.77, 95% confidence interval 1.90 to 4.05 for pandemic influenza and 2.04, 1.74 to 2.39 for seasonal influenza), obesity (2.74, 1.56 to 4.80 and 30.1, 1.74 to 2.39), cardiovascular diseases (2.92, 1.76 to 4.86 and 1.97, 1.06 to 3.67), and neuromuscular disease (2.68, 1.91 to 3.75 and 3.21, 1.84 to 5.58). The level of evidence was very low for all other risk factors. Some well accepted risk factors such as pregnancy and belonging to an ethnic minority group could not be identified as risk factors. In contrast, women who were less than four weeks post partum had a significantly increased risk of death from pandemic influenza (4.43, 1.24 to 15.81). CONCLUSION The level of evidence to support risk factors for influenza related complications is low and some well accepted risk factors, including pregnancy and ethnicity, could not be confirmed as risks. Rigorous and adequately powered studies are needed.
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Affiliation(s)
- Dominik Mertz
- Department of Medicine, McMaster University, Hamilton, ON, Canada
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Paul Glezen W, Schmier JK, Kuehn CM, Ryan KJ, Oxford J. The burden of influenza B: a structured literature review. Am J Public Health 2013; 103:e43-51. [PMID: 23327249 PMCID: PMC3673513 DOI: 10.2105/ajph.2012.301137] [Citation(s) in RCA: 264] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2012] [Indexed: 01/14/2023]
Abstract
We reviewed the epidemiology, clinical characteristics, disease severity, and economic burden of influenza B as reported in the peer-reviewed published literature. We used MEDLINE to perform a systematic literature review of peer-reviewed, English-language literature published between 1995 and 2010. Widely variable frequency data were reported. Clinical presentation of influenza B was similar to that of influenza A, although we observed conflicting reports. Influenza B-specific data on hospitalization rates, length of stay, and economic outcomes were limited but demonstrated that the burden of influenza B can be significant. The medical literature demonstrates that influenza B can pose a significant burden to the global population. The comprehensiveness and quality of reporting on influenza B, however, could be substantially improved. Few articles described complications. Additional data regarding the incidence, clinical burden, and economic impact of influenza B would augment our understanding of the disease and assist in vaccine development.
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Affiliation(s)
- W Paul Glezen
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
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20
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Launes C, García-García J, Martínez-Planas A, Moraga F, Soldevila N, Astigarraga I, Arístegui J, Korta J, Quintana J, Torner N, Domínguez A. Clinical features of influenza disease in admitted children during the first postpandemic season and risk factors for hospitalization: a multicentre Spanish experience. Clin Microbiol Infect 2013; 19:E157-62. [DOI: 10.1111/1469-0691.12106] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Revised: 11/11/2012] [Accepted: 11/12/2012] [Indexed: 01/16/2023]
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21
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Wilson KM, Pier JC, Wesgate SC, Cohen JM, Blumkin AK. Secondhand tobacco smoke exposure and severity of influenza in hospitalized children. J Pediatr 2013; 162:16-21. [PMID: 22863259 DOI: 10.1016/j.jpeds.2012.06.043] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2012] [Revised: 05/16/2012] [Accepted: 06/20/2012] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To assess whether children with influenza who are exposed to secondhand tobacco smoke (SHS) would have more severe illness than those not exposed. STUDY DESIGN We abstracted charts from pediatric inpatients with confirmed influenza from 2002-2009 for demographics, medical history, and smoke exposure. Severity indicators included intensive care, intubation, and length of stay (LOS) in the hospital; potential confounding factors included demographics and the presence of asthma or chronic conditions. All χ(2), t tests, and regression analyses were run using SPSS v. 18.0. RESULTS Of 117 children, 40% were exposed to SHS, who had increased need for intensive care (30% vs 10%, P < .01) and intubation (13% vs 1%, P < .05), and had longer LOS (4.0 vs 2.4 days, P < .01). Children with chronic conditions and SHS exposure required more intensive care (53% vs 18%, P < .05) and had longer LOS (10.0 vs 3.5 days, P < .01) than children not exposed to SHS with chronic conditions. In multivariate analyses controlling for potential confounding factors, children with SHS exposure were 4.7 times more likely to be admitted to intensive care (95% CI 1.4-18.5) and had a 70% longer LOS (95% CI 12%-230%). CONCLUSIONS Children with SHS exposure who are hospitalized with influenza have more severe illness. Efforts are needed to immunize this population against influenza, and eliminate children's exposure to SHS.
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Bradley JS, Byington CL, Shah SS, Alverson B, Carter ER, Harrison C, Kaplan SL, Mace SE, McCracken GH, Moore MR, St Peter SD, Stockwell JA, Swanson JT. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis 2011; 53:e25-76. [PMID: 21880587 PMCID: PMC7107838 DOI: 10.1093/cid/cir531] [Citation(s) in RCA: 1009] [Impact Index Per Article: 77.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2011] [Accepted: 07/08/2011] [Indexed: 02/07/2023] Open
Abstract
Evidenced-based guidelines for management of infants and children with community-acquired pneumonia (CAP) were prepared by an expert panel comprising clinicians and investigators representing community pediatrics, public health, and the pediatric specialties of critical care, emergency medicine, hospital medicine, infectious diseases, pulmonology, and surgery. These guidelines are intended for use by primary care and subspecialty providers responsible for the management of otherwise healthy infants and children with CAP in both outpatient and inpatient settings. Site-of-care management, diagnosis, antimicrobial and adjunctive surgical therapy, and prevention are discussed. Areas that warrant future investigations are also highlighted.
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Affiliation(s)
- John S Bradley
- Department of Pediatrics, University of California San Diego School of Medicine and Rady Children's Hospital of San Diego, San Diego, California, USA.
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Ope MO, Katz MA, Aura B, Gikunju S, Njenga MK, Ng'ang'a Z, Vulule J, Breiman RF, Feikin DR. Risk factors for hospitalized seasonal influenza in rural western Kenya. PLoS One 2011; 6:e20111. [PMID: 21637856 PMCID: PMC3102693 DOI: 10.1371/journal.pone.0020111] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2011] [Accepted: 04/12/2011] [Indexed: 11/24/2022] Open
Abstract
Background Risk factors for influenza hospitalization in Africa are unknown, including the role of HIV. Methods We conducted a case-control study of risk factors for hospitalized seasonal influenza among persons in rural western Kenya, a high HIV prevalence area, from March 2006- August 2008. Eligible cases were ≥five years old, admitted to health facilities with respiratory symptoms, and had nasopharyngeal/oropharyngeal swab specimens that tested positive for influenza A or B by real-time reverse transcription-PCR. Three randomly selected age-, sex- and neighborhood-matched controls were enrolled per case. A structured questionnaire was administered and home-based HIV testing was performed. Risk factors were evaluated using conditional logistic regression. Results A total of 64 cases (38 with influenza A and 26 with influenza B) and 190 controls were enrolled. The median age was 16 years (range 5–69 years). Among cases, 24.5% were HIV-infected versus 12.5% of controls (p = 0.004). Among persons ≥18 years old, 13 (59%) of 22 tested cases were HIV-positive compared with 15 (24%) of 62 tested controls (p = 0.005). In multivariable analysis, HIV-infection was associated with hospitalization due to influenza [adjusted Odds Ratio (aOR) 3.56, 95% CI 1.25–10.1]. The mean CD4 count among HIV-infected cases and controls was similar (399 vs. 387, respectively, p = 0.89). Chronic lung disease (aOR 6.83, 95% CI 1.37–34.0) was also associated with influenza hospitalization in multivariable analysis. Active pulmonary tuberculosis was associated with influenza hospitalization in bivariate, but not multivariable, analysis. Conclusions People with HIV infection and chronic lung disease were at increased risk of hospitalized influenza in rural Kenya. HIV infection is common in many parts of sub-Saharan Africa. Influenza vaccine might prevent severe influenza in these risk groups.
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Affiliation(s)
- Maurice O Ope
- Department of Disease Surveillance and Response, Ministry of Public Health and Sanitation, Nairobi, Kenya
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Vasoo S, Singh K, Trenholme GM. Predicting need for hospitalization of patients with pandemic (H1N1) 2009, Chicago, Illinois, USA. Emerg Infect Dis 2011; 16:1594-7. [PMID: 20875287 PMCID: PMC3294388 DOI: 10.3201/eid1610.091889] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
In the absence of established guidelines for hospitalization of patients with pandemic (H1N1) 2009, we studied emergency department patients to identify clinical parameters that predict need for hospitalization. Independent predictors of hospitalization include multiple high-risk medical conditions, dyspnea, and hypoxia. These findings are easily applicable, with a 79% positive predictive value for hospitalization.
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Affiliation(s)
- Shawn Vasoo
- Rush University Medical Center, Chicago, Illinois 60612, USA
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Abstract
PURPOSE In this study, we assessed whether multivariate models and clinical decision rules can be used to reliably diagnose influenza. METHODS We conducted a systematic review of MEDLINE, bibliographies of relevant studies, and previous meta-analyses. We searched the literature (1962-2010) for articles evaluating the accuracy of multivariate models, clinical decision rules, or simple heuristics for the diagnosis of influenza. Each author independently reviewed and abstracted data from each article; discrepancies were resolved by consensus discussion. Where possible, we calculated sensitivity, specificity, predictive value, likelihood ratios, and areas under the receiver operating characteristic curve. RESULTS A total of 12 studies met our inclusion criteria. No study prospectively validated a multivariate model or clinical decision rule, and no study performed a split-sample or bootstrap validation of such a model. Simple heuristics such as the so-called fever and cough rule and the fever, cough, and acute onset rule were each evaluated by several studies in populations of adults and children. The areas under the receiver operating characteristic curves were 0.70 and 0.79, respectively. We could not calculate a single summary estimate, however, as the diagnostic threshold varied among studies. CONCLUSIONS The fever and cough, and the fever, cough, and acute onset heuristics have modest accuracy, but summary estimates could not be calculated. Further research is needed to develop and prospectively validate clinical decision rules to identify patients requiring testing, empiric treatment, or neither.
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Affiliation(s)
- Mark H Ebell
- Department of Epidemiology and Biostatistics, The University of Georgia, Athens, GA, USA.
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Abstract
PURPOSE OF REVIEW A review of influenza is particularly relevant this year due to the ongoing novel H1N1 influenza pandemic. RECENT FINDINGS Surveillance and clinical data including risk factors for infection and complications due to the current H1N1 pandemic are reviewed. New evidence on the safety of antiviral agents in children and studies on interventions to reduce community transmission of influenza are included. Influenza vaccine efficacy and improving immunization coverage have also been addressed by recent studies. SUMMARY These studies from the early phase of the pandemic identify the population that are at high risk for complications, and affirm that active surveillance and prevention are important aspects of a public health response. Appropriate use of antiviral agents and improving influenza immunization coverage for all ages continue to be a challenge. Further studies are underway to improve the public health response, and the pandemic H1N1 strain is being incorporated into the 2010 seasonal influenza vaccine.
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Abstract
PURPOSE OF REVIEW To report on recent advances in quality initiatives in emergency departments (EDs), with a special focus on applicability to pediatric EDs (PED) RECENT FINDINGS: Although healthcare quality improvement has made great strides in the last couple of decades, quality improvement efforts in pediatrics have lagged behind. Over the last decade, as quality initiatives have matured in adult hospitals, there has been a downstream effect on general EDs, as system-wide clinical guidelines are usually initiated through the ED--such efforts are being reported in the literature. There is significant overlap in quality improvement efforts in adult and pediatric EDs. In this article, we review the recent relevant articles, with particular emphasis on pediatrics where appropriate. SUMMARY There is an opportunity in pediatric emergency medicine to reduce practice variability, decrease cost and improve efficiency of care. There is an urgent need to report the successes and failures of these initiatives, so we can develop benchmarks and optimize services provided in the PED.
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