<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yende S</submitter><funding>National Institute of Environmental Health Sciences</funding><funding>National Institute of Neurological Disorders and Stroke</funding><funding>Intramural NIH HHS</funding><funding>NIA NIH HHS</funding><funding>National Heart, Lung, and Blood Institute</funding><funding>NHLBI NIH HHS</funding><funding>NINR NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><funding>National Institute on Aging</funding><pagination>1008-1017</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3760741</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>144(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Preventing pneumonia requires better understanding of incidence, mortality, and long-term clinical and biologic risk factors, particularly in younger individuals.&lt;h4>Methods&lt;/h4>This was a cohort study in three population-based cohorts of community-dwelling individuals. A derivation cohort (n = 16,260) was used to determine incidence and survival and develop a risk prediction model. The prediction model was validated in two cohorts (n = 8,495). The primary outcome was 10-year risk of pneumonia hospitalization.&lt;h4>Results&lt;/h4>The crude and age-adjusted incidences of pneumonia were 6.71 and 9.43 cases/1,000 person-years (10-year risk was 6.15%). The 30-day and 1-year mortality were 16.5% and 31.5%. Although age was the most important risk factor (range of crude incidence rates, 1.69-39.13 cases/1,000 person-years for each 5-year increment from 45-85 years), 38% of pneumonia cases occurred in adults &amp;lt; 65 years of age. The 30-day and 1-year mortality were 12.5% and 25.7% in those &amp;lt; 65 years of age. Although most comorbidities were associated with higher risk of pneumonia, reduced lung function was the most important risk factor (relative risk = 6.61 for severe reduction based on FEV1 by spirometry). A clinical risk prediction model based on age, smoking, and lung function predicted 10-year risk (area under curve [AUC] = 0.77 and Hosmer-Lemeshow [HL] C statistic = 0.12). Model discrimination and calibration were similar in the internal validation cohort (AUC = 0.77; HL C statistic, 0.65) but lower in the external validation cohort (AUC = 0.62; HL C statistic, 0.45). The model also calibrated well in blacks and younger adults. C-reactive protein and IL-6 were associated with higher pneumonia risk but did not improve model performance.&lt;h4>Conclusions&lt;/h4>Pneumonia hospitalization is common and associated with high mortality, even in younger healthy adults. Long-term risk of pneumonia can be predicted in community-dwelling adults with a simple clinical risk prediction model.</pubmed_abstract><journal>Chest</journal><pubmed_title>Epidemiology and long-term clinical and biologic risk factors for pneumonia in community-dwelling older Americans: analysis of three cohorts.</pubmed_title><pmcid>PMC3760741</pmcid><funding_grant_id>N01-HC-55021</funding_grant_id><funding_grant_id>N01-HC-55020</funding_grant_id><funding_grant_id>N01-HC-55222</funding_grant_id><funding_grant_id>N01-HC-85079</funding_grant_id><funding_grant_id>R01 AG028050</funding_grant_id><funding_grant_id>N01-HC-55022</funding_grant_id><funding_grant_id>U01 HL080295</funding_grant_id><funding_grant_id>N01HC55019</funding_grant_id><funding_grant_id>N01HC55018</funding_grant_id><funding_grant_id>R56 AG023629</funding_grant_id><funding_grant_id>N01HC55016</funding_grant_id><funding_grant_id>N01HC55015</funding_grant_id><funding_grant_id>R01-NR012459</funding_grant_id><funding_grant_id>N01HC85081</funding_grant_id><funding_grant_id>N01-HC-85080</funding_grant_id><funding_grant_id>N01HC85082</funding_grant_id><funding_grant_id>R01 AG023629</funding_grant_id><funding_grant_id>N01HC85080</funding_grant_id><funding_grant_id>HHSN268201200036C</funding_grant_id><funding_grant_id>N01HC85086</funding_grant_id><funding_grant_id>N01HC85083</funding_grant_id><funding_grant_id>N01-HC-55018</funding_grant_id><funding_grant_id>N01-HC-55016</funding_grant_id><funding_grant_id>N01-HC-55015</funding_grant_id><funding_grant_id>N01-HC-85083</funding_grant_id><funding_grant_id>R01-AG028050</funding_grant_id><funding_grant_id>N01-HC-85081</funding_grant_id><funding_grant_id>N01-HC-55019</funding_grant_id><funding_grant_id>N01-HC-85082</funding_grant_id><funding_grant_id>N01HC55022</funding_grant_id><funding_grant_id>N01HC55021</funding_grant_id><funding_grant_id>N01HC55020</funding_grant_id><funding_grant_id>HL080295</funding_grant_id><funding_grant_id>N01-AG-6-2106</funding_grant_id><funding_grant_id>R01 NR012459</funding_grant_id><funding_grant_id>K23 GM083215</funding_grant_id><funding_grant_id>HHSN268200800007C</funding_grant_id><funding_grant_id>N01-AG-6-2101</funding_grant_id><funding_grant_id>N01-AG-6-2103</funding_grant_id><funding_grant_id>N01HC55222</funding_grant_id><funding_grant_id>R01 HL080295</funding_grant_id><funding_grant_id>N01HC85079</funding_grant_id><funding_grant_id>AG-023629</funding_grant_id><funding_grant_id>K23GM083215</funding_grant_id><funding_grant_id>H01-HC-85086</funding_grant_id><pubmed_authors>Kritchevsky SB</pubmed_authors><pubmed_authors>Mukamal KJ</pubmed_authors><pubmed_authors>Angus DC</pubmed_authors><pubmed_authors>Alvarez K</pubmed_authors><pubmed_authors>Folsom AR</pubmed_authors><pubmed_authors>Wunderink RG</pubmed_authors><pubmed_authors>Bauer DC</pubmed_authors><pubmed_authors>London SJ</pubmed_authors><pubmed_authors>Weissfeld LA</pubmed_authors><pubmed_authors>Yende S</pubmed_authors><pubmed_authors>Harris TB</pubmed_authors><pubmed_authors>Newman AB</pubmed_authors><pubmed_authors>Loehr L</pubmed_authors><pubmed_authors>Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, and the Health, Aging, and Body Composition Study</pubmed_authors></additional><is_claimable>false</is_claimable><name>Epidemiology and long-term clinical and biologic risk factors for pneumonia in community-dwelling older Americans: analysis of three cohorts.</name><description>&lt;h4>Background&lt;/h4>Preventing pneumonia requires better understanding of incidence, mortality, and long-term clinical and biologic risk factors, particularly in younger individuals.&lt;h4>Methods&lt;/h4>This was a cohort study in three population-based cohorts of community-dwelling individuals. A derivation cohort (n = 16,260) was used to determine incidence and survival and develop a risk prediction model. The prediction model was validated in two cohorts (n = 8,495). The primary outcome was 10-year risk of pneumonia hospitalization.&lt;h4>Results&lt;/h4>The crude and age-adjusted incidences of pneumonia were 6.71 and 9.43 cases/1,000 person-years (10-year risk was 6.15%). The 30-day and 1-year mortality were 16.5% and 31.5%. Although age was the most important risk factor (range of crude incidence rates, 1.69-39.13 cases/1,000 person-years for each 5-year increment from 45-85 years), 38% of pneumonia cases occurred in adults &amp;lt; 65 years of age. The 30-day and 1-year mortality were 12.5% and 25.7% in those &amp;lt; 65 years of age. Although most comorbidities were associated with higher risk of pneumonia, reduced lung function was the most important risk factor (relative risk = 6.61 for severe reduction based on FEV1 by spirometry). A clinical risk prediction model based on age, smoking, and lung function predicted 10-year risk (area under curve [AUC] = 0.77 and Hosmer-Lemeshow [HL] C statistic = 0.12). Model discrimination and calibration were similar in the internal validation cohort (AUC = 0.77; HL C statistic, 0.65) but lower in the external validation cohort (AUC = 0.62; HL C statistic, 0.45). The model also calibrated well in blacks and younger adults. C-reactive protein and IL-6 were associated with higher pneumonia risk but did not improve model performance.&lt;h4>Conclusions&lt;/h4>Pneumonia hospitalization is common and associated with high mortality, even in younger healthy adults. Long-term risk of pneumonia can be predicted in community-dwelling adults with a simple clinical risk prediction model.</description><dates><release>2013-01-01T00:00:00Z</release><publication>2013 Sep</publication><modification>2025-05-18T10:53:04.323Z</modification><creation>2025-05-18T10:53:04.323Z</creation></dates><accession>S-EPMC3760741</accession><cross_references><pubmed>23744106</pubmed><doi>10.1378/chest.12-2818</doi></cross_references></HashMap>