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Lack of discriminating signs and symptoms in clinical diagnosis of influenza of patients admitted to the hospital.

ABSTRACT: OBJECTIVES: Rapid diagnosis of influenza in hospitalised patients is important to prevent the transmission of the infection in the hospital. This prospective observational cohort study was designed to determine the relationship between the clinical diagnosis of influenza made by the physician at admission and the presence of influenza virus in patients with respiratory tract infections. METHODS: This prospective observational cohort study was conducted in a large Dutch teaching hospital in a period of four weeks during the influenza season 2004/2005. All patients of 18 years and older, admitted with respiratory tract infections were included in the study. Clinical and laboratory parameters, chest radiograph (CR), blood and sputum cultures and nasopharyngeal swab for polymerase chain reaction (PCR) were obtained for each patient. In addition, the physicians opinion at admission whether this patient had influenza was recorded. RESULTS: A total of 78 patients were hospitalized with respiratory tract infections. In 41 (53%) of them influenza virus was detected by PCR. Among the patients that were positive for influenza virus by PCR, a clinical diagnosis of influenza was made in 18 cases (44%). Conversely, clinical diagnosis of influenza was made in 16 out of 37 patients in whom influenza virus was not detected by PCR. Neither C-reactive protein, leucocytes count nor an infiltrate on CR were helpful in determining the cause of the respiratory tract infection. CONCLUSIONS: The present findings failed to demonstrate a significant relationship between the clinical diagnosis of influenza and PCR detection of the virus. Also, the virus was present at least twice more often than influenza was clinically diagnosed. As a consequence, the decision to take protective measures to control spread of the virus should not rely on the clinical diagnosis.

SUBMITTER: v d Hoeven AM

PROVIDER: S-EPMC2778620 | biostudies-other | 2007 Apr

REPOSITORIES: biostudies-other

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Project description:Introduction:Influenza viruses specifically, A and B mainly contribute to seasonal outbreaks that occur globally. However, due to limited diagnostics for influenza there is little data regarding clinical outcomes of patients with H1N1 pneumonia in our region. Our objective was to determine the clinical characteristics and outcomes of patients hospitalized with H1N1 pneumonia at a tertiary care facility in Karachi, Pakistan. Methods:A retrospective study of adult patients admitted with influenza pneumonia from November 2017 to February 2018 at a tertiary care hospital in Karachi, Pakistan. Patient characteristics were compared between influenza A H1N1 and other types of influenza using multivariable logistic regression analysis and subgroup analysis for factors associated with mortality in H1N1 Pneumonia was performed. Results:Out of 497 adult patients with community acquired pneumonia (CAP), 172 fulfilled the criteria for Influenza like illness (ILI). 88 patients had PCR confirmed Influenza pneumonia of whom n?=?57 (65%) had Influenza A H1N1. The mean age of patients 53.5?years (SD: 17.3) and 60% were male. The overall mortality from Influenza in this study was 15.9% (n?=?14); out of these 11 (78.5%) had Influenza A H1N1. Multivariable analysis showed that the increase in length of hospital admission was significantly associated with H1N1 Influenza A infection (OR: 1.47 CI: 1.2-1.8). Factors associated with mortality showed that presence of ARDS, Septic shock and multi-organ failure was highly significantly associated with death (p-value <?0.001) along with deranged liver function tests (p-value 0.01) and presence of nosocomial infection (p-value 0.027). Conclusion:Influenza A H1N1 is associated with greater length of stay compared with infection due to other types of Influenza and mortality in H1N1 Pneumonia was found to be associated with presence of nosocomial infection among several other factors which may have implications given higher rates in a low-middle income country.

Project description:BACKGROUND: During an influenza epidemic prompt diagnosis of influenza is important. This diagnosis however is still essentially based on the interpretation of symptoms and signs by general practitioners. No single symptom is specific enough to be useful in differentiating influenza from other respiratory infections. Our objective is to formulate prediction rules for the diagnosis of influenza with the best diagnostic performance, combining symptoms, signs and context among patients with influenza-like illness. METHODS: During five consecutive winter periods (2002-2007) 138 sentinel general practitioners sampled (naso- and oropharyngeal swabs) 4597 patients with an influenza-like illness (ILI) and registered their symptoms and signs, general characteristics and contextual information. The samples were analysed by a DirectigenFlu-A&B and RT-PCR tests. 4584 records were useful for further analysis.Starting from the most relevant variables in a Generalized Estimating Equations (GEE) model, we calculated the area under the Receiver Operating Characteristic curve (ROC AUC), sensitivity, specificity and likelihood ratios for positive (LR+) and negative test results (LR-) of single and combined signs, symptoms and context taking into account pre-test and post-test odds. RESULTS: In total 52.6% (2409/4584) of the samples were positive for influenza virus: 64% (2066/3212) during and 25% (343/1372) pre/post an influenza epidemic. During and pre/post an influenza epidemic the LR+ of 'previous flu-like contacts', 'coughing', 'expectoration on the first day of illness' and 'body temperature above 37.8°C' is 3.35 (95%CI 2.67-4.03) and 1.34 (95%CI 0.97-1.72), respectively. During and pre/post an influenza epidemic the LR- of 'coughing' and 'a body temperature above 37.8°C' is 0.34 (95%CI 0.27-0.41) and 0.07 (95%CI 0.05-0.08), respectively. CONCLUSIONS: Ruling out influenza using clinical and contextual information is easier than ruling it in. Outside an influenza epidemic the absence of cough and fever (> 37,8°C) makes influenza 14 times less likely in ILI patients. During an epidemic the presence of 'previous flu-like contacts', cough, 'expectoration on the first day of illness' and fever (>37,8°C) increases the likelihood for influenza threefold. The additional diagnostic value of rapid point of care tests especially for confirming influenza still has to be established.

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Lack of discriminating signs and symptoms in clinical diagnosis of influenza of patients admitted to the hospital.

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