Risk factors associated with death among influenza A (H1N1) patients, Tamil Nadu, India, 2010

Background: Limited information is available about the risk factors associated with death among patients of influenza A (H1N1) in India. Aims: To describe the epidemiology of laboratory-confirmed influenza A (H1N1) patients and identify risk factors associated with death. Settings and Design: We rev...

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Veröffentlicht in:Journal of postgraduate medicine 2013-01, Vol.59 (1), p.9-14
Hauptverfasser: Balaganesakumar, S, Murhekar, M, Swamy, K, Kumar, M, Manickam, P, Pandian, PRT
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container_end_page 14
container_issue 1
container_start_page 9
container_title Journal of postgraduate medicine
container_volume 59
creator Balaganesakumar, S
Murhekar, M
Swamy, K
Kumar, M
Manickam, P
Pandian, PRT
description Background: Limited information is available about the risk factors associated with death among patients of influenza A (H1N1) in India. Aims: To describe the epidemiology of laboratory-confirmed influenza A (H1N1) patients and identify risk factors associated with death. Settings and Design: We reviewed the surveillance data of laboratory-confirmed patients in Tamil Nadu, India, for the year 2010. We conducted a case-control study by comparing 70 laboratory-confirmed A (H1N1) patients who died (cases) with 210 A (H1N1) patients who recovered (controls) to identify the risk factors for deaths. Materials and Methods: We interviewed the controls and immediate care-takers of the influenza patients who died to collect information about socio-demographic details and co-morbid conditions. We used an abstraction form to collect the information about the clinical details from the case records of the hospitals where the cases and controls received treatment. Statistical Analysis: We analysed the surveillance data by time, place and person. We conducted univariate and multivariate logistic regression analysis for identifying factors associated death. Results: During 2010, 1302 laboratory-confirmed cases were reported to the Tamil Nadu surveillance unit. Of these, 72 patients died (case fatality=5.5%). About 2/3 of the cases and 40% of the deaths were from three districts. On multivariate analysis, past history of diabetes, treatment in private hospitals, treatment with corticosteroids during illness, visit to >1 healthcare facility before laboratory confirmation and delay of >48 h in starting antivirals were found to be independently associated with the deaths. Conclusions: Influenza patients with previous history of diabetes, who had treatment with corticosteroids during illness, and started with antivirals after 48 h of onset of symptoms, were at higher risk of adverse outcome. In order to reduce the risk of death during future waves of influenza in Tamil Nadu, the physicians need to be sensitised regarding (1) higher risk of adverse outcomes among A (H1N1) patients with diabetes; (2) adherence to the national protocol for categorisation of cases; (3) prompt initiation of antivirals for severe cases; and (4) avoidance of systemic corticosteroids during management.
doi_str_mv 10.4103/0022-3859.109481
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Aims: To describe the epidemiology of laboratory-confirmed influenza A (H1N1) patients and identify risk factors associated with death. Settings and Design: We reviewed the surveillance data of laboratory-confirmed patients in Tamil Nadu, India, for the year 2010. We conducted a case-control study by comparing 70 laboratory-confirmed A (H1N1) patients who died (cases) with 210 A (H1N1) patients who recovered (controls) to identify the risk factors for deaths. Materials and Methods: We interviewed the controls and immediate care-takers of the influenza patients who died to collect information about socio-demographic details and co-morbid conditions. We used an abstraction form to collect the information about the clinical details from the case records of the hospitals where the cases and controls received treatment. Statistical Analysis: We analysed the surveillance data by time, place and person. We conducted univariate and multivariate logistic regression analysis for identifying factors associated death. Results: During 2010, 1302 laboratory-confirmed cases were reported to the Tamil Nadu surveillance unit. Of these, 72 patients died (case fatality=5.5%). About 2/3 of the cases and 40% of the deaths were from three districts. On multivariate analysis, past history of diabetes, treatment in private hospitals, treatment with corticosteroids during illness, visit to &gt;1 healthcare facility before laboratory confirmation and delay of &gt;48 h in starting antivirals were found to be independently associated with the deaths. Conclusions: Influenza patients with previous history of diabetes, who had treatment with corticosteroids during illness, and started with antivirals after 48 h of onset of symptoms, were at higher risk of adverse outcome. In order to reduce the risk of death during future waves of influenza in Tamil Nadu, the physicians need to be sensitised regarding (1) higher risk of adverse outcomes among A (H1N1) patients with diabetes; (2) adherence to the national protocol for categorisation of cases; (3) prompt initiation of antivirals for severe cases; and (4) avoidance of systemic corticosteroids during management.</description><identifier>ISSN: 0022-3859</identifier><identifier>EISSN: 0972-2823</identifier><identifier>DOI: 10.4103/0022-3859.109481</identifier><identifier>PMID: 23525052</identifier><language>eng</language><publisher>India: Medknow Publications</publisher><subject>Adolescent ; Adult ; Age Distribution ; Aged ; Aged, 80 and over ; Antiviral Agents - therapeutic use ; Biomedical research ; Case-Control Studies ; Confidence intervals ; Epidemiology ; Fatalities ; Female ; Hospitalization - statistics &amp; numerical data ; Hospitals ; Hospitals, Private ; Human subjects ; Humans ; Illnesses ; India - epidemiology ; Influenza ; Influenza A Virus, H1N1 Subtype ; Influenza, Human - diagnosis ; Influenza, Human - drug therapy ; Influenza, Human - mortality ; Laboratories ; Male ; Middle Aged ; Multivariate Analysis ; Odds Ratio ; Population Surveillance ; Risk Factors ; Sex Distribution ; Socioeconomic Factors ; Treatment Outcome ; Young Adult</subject><ispartof>Journal of postgraduate medicine, 2013-01, Vol.59 (1), p.9-14</ispartof><rights>COPYRIGHT 2013 Medknow Publications and Media Pvt. Ltd.</rights><rights>Copyright Medknow Publications &amp; Media Pvt Ltd Jan-Mar 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c544t-8069330b06e8a1f5ab3f9238b013dc740f09e2769c46963584d60f55f63a32dc3</citedby><cites>FETCH-LOGICAL-c544t-8069330b06e8a1f5ab3f9238b013dc740f09e2769c46963584d60f55f63a32dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,4012,27910,27911,27912</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23525052$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Balaganesakumar, S</creatorcontrib><creatorcontrib>Murhekar, M</creatorcontrib><creatorcontrib>Swamy, K</creatorcontrib><creatorcontrib>Kumar, M</creatorcontrib><creatorcontrib>Manickam, P</creatorcontrib><creatorcontrib>Pandian, PRT</creatorcontrib><title>Risk factors associated with death among influenza A (H1N1) patients, Tamil Nadu, India, 2010</title><title>Journal of postgraduate medicine</title><addtitle>J Postgrad Med</addtitle><description>Background: Limited information is available about the risk factors associated with death among patients of influenza A (H1N1) in India. Aims: To describe the epidemiology of laboratory-confirmed influenza A (H1N1) patients and identify risk factors associated with death. Settings and Design: We reviewed the surveillance data of laboratory-confirmed patients in Tamil Nadu, India, for the year 2010. We conducted a case-control study by comparing 70 laboratory-confirmed A (H1N1) patients who died (cases) with 210 A (H1N1) patients who recovered (controls) to identify the risk factors for deaths. Materials and Methods: We interviewed the controls and immediate care-takers of the influenza patients who died to collect information about socio-demographic details and co-morbid conditions. We used an abstraction form to collect the information about the clinical details from the case records of the hospitals where the cases and controls received treatment. Statistical Analysis: We analysed the surveillance data by time, place and person. We conducted univariate and multivariate logistic regression analysis for identifying factors associated death. Results: During 2010, 1302 laboratory-confirmed cases were reported to the Tamil Nadu surveillance unit. Of these, 72 patients died (case fatality=5.5%). About 2/3 of the cases and 40% of the deaths were from three districts. On multivariate analysis, past history of diabetes, treatment in private hospitals, treatment with corticosteroids during illness, visit to &gt;1 healthcare facility before laboratory confirmation and delay of &gt;48 h in starting antivirals were found to be independently associated with the deaths. Conclusions: Influenza patients with previous history of diabetes, who had treatment with corticosteroids during illness, and started with antivirals after 48 h of onset of symptoms, were at higher risk of adverse outcome. In order to reduce the risk of death during future waves of influenza in Tamil Nadu, the physicians need to be sensitised regarding (1) higher risk of adverse outcomes among A (H1N1) patients with diabetes; (2) adherence to the national protocol for categorisation of cases; (3) prompt initiation of antivirals for severe cases; and (4) avoidance of systemic corticosteroids during management.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antiviral Agents - therapeutic use</subject><subject>Biomedical research</subject><subject>Case-Control Studies</subject><subject>Confidence intervals</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Hospitals</subject><subject>Hospitals, Private</subject><subject>Human subjects</subject><subject>Humans</subject><subject>Illnesses</subject><subject>India - epidemiology</subject><subject>Influenza</subject><subject>Influenza A Virus, H1N1 Subtype</subject><subject>Influenza, Human - diagnosis</subject><subject>Influenza, Human - drug therapy</subject><subject>Influenza, Human - mortality</subject><subject>Laboratories</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Odds Ratio</subject><subject>Population Surveillance</subject><subject>Risk Factors</subject><subject>Sex Distribution</subject><subject>Socioeconomic Factors</subject><subject>Treatment Outcome</subject><subject>Young Adult</subject><issn>0022-3859</issn><issn>0972-2823</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkcGLEzEUhwdR3HX17kkCXhQ69SUvk06OZVF3YV1B1qOENJPUbGcm3WSGon-9GdqqCyWQhOT7vfDyFcVrCnNOAT8AMFZiXck5Bclr-qQ4B7lgJasZPs374_VZ8SKlewAqBMfnxRnDilVQsfPixzefNsRpM4SYiE4pGK8H25CdH36Sxuo86y70a-J71462_63Jkry7orf0Pdnqwdt-SDNypzvfklvdjDNy3TdezwgDCi-LZ063yb46rBfF908f7y6vypuvn68vlzelqTgfyhqERIQVCFtr6iq9QicZ1iug2JgFBwfSsoWQhgspsKp5I8BVlROokTUGL4q3-7rbGB5GmwZ1H8bY5ycVxfwZkiNd_KPWurUq9xOGqE3nk1FLZGLBOOJElSeote1t1G3orfP5-BE_P8Hn0djOm5MB2AdMDClF69Q2-k7HX4qCmrSqyZuavKm91hx5c-hvXHW2-Rs4eszAlz2wC-1gY9q0485GldlNH3aPCpf_FVZSTf7Vwb86-sc_6HSw2A</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Balaganesakumar, S</creator><creator>Murhekar, M</creator><creator>Swamy, K</creator><creator>Kumar, M</creator><creator>Manickam, P</creator><creator>Pandian, PRT</creator><general>Medknow Publications</general><general>Medknow Publications and Media Pvt. 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Aims: To describe the epidemiology of laboratory-confirmed influenza A (H1N1) patients and identify risk factors associated with death. Settings and Design: We reviewed the surveillance data of laboratory-confirmed patients in Tamil Nadu, India, for the year 2010. We conducted a case-control study by comparing 70 laboratory-confirmed A (H1N1) patients who died (cases) with 210 A (H1N1) patients who recovered (controls) to identify the risk factors for deaths. Materials and Methods: We interviewed the controls and immediate care-takers of the influenza patients who died to collect information about socio-demographic details and co-morbid conditions. We used an abstraction form to collect the information about the clinical details from the case records of the hospitals where the cases and controls received treatment. Statistical Analysis: We analysed the surveillance data by time, place and person. We conducted univariate and multivariate logistic regression analysis for identifying factors associated death. Results: During 2010, 1302 laboratory-confirmed cases were reported to the Tamil Nadu surveillance unit. Of these, 72 patients died (case fatality=5.5%). About 2/3 of the cases and 40% of the deaths were from three districts. On multivariate analysis, past history of diabetes, treatment in private hospitals, treatment with corticosteroids during illness, visit to &gt;1 healthcare facility before laboratory confirmation and delay of &gt;48 h in starting antivirals were found to be independently associated with the deaths. Conclusions: Influenza patients with previous history of diabetes, who had treatment with corticosteroids during illness, and started with antivirals after 48 h of onset of symptoms, were at higher risk of adverse outcome. In order to reduce the risk of death during future waves of influenza in Tamil Nadu, the physicians need to be sensitised regarding (1) higher risk of adverse outcomes among A (H1N1) patients with diabetes; (2) adherence to the national protocol for categorisation of cases; (3) prompt initiation of antivirals for severe cases; and (4) avoidance of systemic corticosteroids during management.</abstract><cop>India</cop><pub>Medknow Publications</pub><pmid>23525052</pmid><doi>10.4103/0022-3859.109481</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
Age Distribution
Aged
Aged, 80 and over
Antiviral Agents - therapeutic use
Biomedical research
Case-Control Studies
Confidence intervals
Epidemiology
Fatalities
Female
Hospitalization - statistics & numerical data
Hospitals
Hospitals, Private
Human subjects
Humans
Illnesses
India - epidemiology
Influenza
Influenza A Virus, H1N1 Subtype
Influenza, Human - diagnosis
Influenza, Human - drug therapy
Influenza, Human - mortality
Laboratories
Male
Middle Aged
Multivariate Analysis
Odds Ratio
Population Surveillance
Risk Factors
Sex Distribution
Socioeconomic Factors
Treatment Outcome
Young Adult
title Risk factors associated with death among influenza A (H1N1) patients, Tamil Nadu, India, 2010
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