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Spatio-temporal patterns for pneumonia and influenza hospitalization

A.A.Kosheleva, D.A. Castronovo, J.S. Jagai K.C. Chui, Y.N. Naumov, J. Gorski, E.N. Naumova

Background

  • Hospitalization for pneumonia and influenza (P&I) has a well defined seasonal pattern and is stable across various climatic zones of the USA.
  • P&I incidence in elderly increases with age and in presence of co-morbid conditions.
    Objective
  • To provide detailed examination for the spatio-temporal distribution of hospitalization rates of P&I in the US elderly (≥65 years old)

Methods

  • Abstracted 6,277,684 individual records of hospitalization (ICD-9M 480-487) from 1998-2002.
  • Developed a set of curves to reflect age-specific rates of P&I in patients with one of the three preexisting medical conditions: cancer, diabetes, and renal failure.
  • Examined the annual rates of P&I as a function of age.
  • Tracked monthly county-specific P&I rates for four influenza seasons, and depicted the spatio-temporal distribution of rates using a series of dynamic maps.
  • Compiled a county-specific dataset of monthly values of ambient temperature and climate descriptors.

Results

  • The highest annual rates of P&I hospitalization and the most pronounced dynamic seasonal change were observed in counties with large gradient in ambient temperature, the substantial fraction (≥17%) of older people (RR=1.2; CI95%:1.17, 1.23), and big proportion of rural population (≥75%) (RR=1.27; CI95%:1.25, 1.28).
  • For both males and females, the P&I rates increase exponentially with age at approximately 72, 83, and 95.
  • The estimated rates were 14.76, 27.55, and 67.97 cases per year at 65, 75, and 85 respectively per 1000 elderly.
  • The normalized age-specific curves in patients with cancer and diabetes exhibited steeper increase in age range of 65-90

Discussion

  • We suggest that the variations in incidence of P&I in the frail elderly subpopulations stem from differences between individual "immunological" and "chronological" age influenced by the presence of environmental stressors and preexisting medical conditions.


 

 

 

 

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