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Respiratory symptoms in older people and their association with mortality
  1. J Hewitt1,
  2. L Smeeth1,
  3. C J Bulpitt2,
  4. A J Tulloch3,
  5. A E Fletcher1
  1. 1Centre for Ageing and Public Health, London School of Hygiene and Tropical Medicine, London, UK
  2. 2Section of Care of the Elderly, Imperial College Faculty of Medicine, Hammersmith Campus, London, UK
  3. 3Unit of Health Care Epidemiology, Institute of Health Sciences, University of Oxford, Oxford, UK
  1. Correspondence to:
    Dr J Hewitt
    Centre for Ageing and Public Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; Jonathan.Hewittlshtm.ac.uk

Abstract

Background: A study was undertaken to assess the prevalence of reported respiratory symptoms in a population aged over 75 years and their association with mortality.

Methods: A total of 14 458 people aged 75 years and over participating in a trial of health screening of older people in general practice answered questions on three respiratory symptoms: cough, sputum production, and wheeze. The association of symptoms with mortality was examined for all cause and respiratory causes of death taking account of potential confounders.

Results: Coughing up phlegm in winter mornings had a prevalence of 27.0% (95% confidence interval (CI) 26.8 to 27.2). Those with this symptom had an adjusted hazard ratio for all cause mortality of 1.35 (95% CI 1.21 to 1.50), p<0.001 and for respiratory specific mortality of 2.01 (95% CI 1.66 to 2.41), p<0.001. Phlegm at any time of the day in winter had a prevalence of 16.5% (95% CI 16.3 to 16.7) with hazard ratios for all cause and respiratory specific mortality of 1.28 (95% CI 1.15 to 1.42) and 2.28 (95% CI 1.92 to 2.70), p<0.001. Wheeze or whistling from the chest had a prevalence of 14.3% (95% CI 14.1 to 14.5) with hazard ratios of 1.45 (95% CI 1.31 to 1.61) and 2.86 (95% CI 2.45 to 3.35), p<0.001.

Conclusions: The prevalence of respiratory symptoms is widespread among elderly people and their presence is a strong predictor of mortality.

  • geriatrics
  • respiratory symptoms
  • prevalence
  • mortality

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Respiratory disease and symptoms are common problems in older people. Respiratory disease affects both the quality of life in elderly individuals and morbidity,1 although estimates of the prevalence of respiratory symptoms vary.2–5

Increased rates of mortality are associated with established respiratory disease6 but the effect of self-reported symptoms alone, as predictors of mortality, has not been assessed. Analyses were therefore undertaken to establish the prevalence of three respiratory symptoms in an elderly population and to examine their association with mortality.

METHODS

Participants

The MRC trial of assessment and management of elderly people in the community is a cluster randomised trial investigating approaches to multidimensional screening for people aged 75 and over.7,8 A representative sample of 106 family practices in Great Britain were selected, stratified by mortality experience (standardised mortality ratio) and Jarman index (an area deprivation measure indicator). Practices were randomised into “universal” and “targeted” screening. In the universal arm all patients aged over 75 (excluding those resident in nursing homes or with terminal illnesses) were invited to complete a detailed screening assessment. The health aspects of the detailed screening questionnaire were extensive, covering many areas. These included physical health, such as the Rose angina questionnaire, and mental health with a 30 point mini mental state examination. As well as questions, physical measurements were made including body mass index and other anthropometric data, pulse rate and blood pressure. The social status of individuals was assessed with various estimates of socioeconomic status and social isolation including the Carstairs index. Detailed drug histories and routine blood tests for haematology, urea and electrolytes were performed. Routine urine dipstick analysis was also performed. Of particular relevance to this study, respiratory symptoms,9 previous diagnoses of emphysema or asthma, and smoking history were recorded. In the “targeted” arm only selected patients completed a detailed assessment, so patients in the “universal” arm were only included in this analysis as a representative sample of community dwelling older people. Participants were recruited between 1994 and 1999. All gave written informed consent and ethical approval for the study was obtained from relevant ethics committees.

The three respiratory questions were:9

  • Do you usually bring up phlegm from your chest first thing in the morning in winter? (yes or no)

  • Do you usually bring up phlegm from your chest during the day or night in winter? (yes or no)

  • Does your chest sound wheezy or whistling on most days (or nights)? (yes or no)

Trial participants were followed up for mortality by the UK Office for National Statistics (ONS) who provided fact and cause of death using ICD9 coding. Mortality data collection is ongoing and currently complete until December 2003. In this study a maximum of 5 years follow up was assessed.

Statistical methods

The prevalence of positive responses to each of the questions was estimated overall by age, sex, smoking habit (life long non-smokers, ex-smokers and current smokers) and socioeconomic status as measured by the Carstairs index. The Carstairs index uses overcrowding, unemployment, low social class, and car ownership to calculate a deprivation measure by area.10 Participants were assigned to quintiles of Carstairs score, with 1 being the lowest quintile and 5 the highest. The association of each symptom with mortality was examined using Cox’s proportional hazards regression. A forward fitting model was constructed incorporating potential confounders11,12 into the model for all cause, respiratory specific, and cardiovascular specific mortality. The potential confounding and interaction terms tested were age, sex, Carstairs index, smoking history, alcohol intake, previous myocardial infarction, and previous cerebrovascular accident. The questionnaire did not contain information regarding specific respiratory confounders such as family history of airways disease or detailed occupational history. Each model was then tested to ensure the proportional hazards assumption was maintained. All analyses were undertaken using STATA statistical software Version 7, taking into account the clustered study design of practice selection.

RESULTS

In total, 15 122 of 21 410 eligible patients (70.6%) participated in the “universal” arm of the trial and underwent the detailed assessment; 14 458 individuals answered the questions about respiratory symptoms. Overall, 27.0% reported phlegm in the winter mornings, 16.5% phlegm at anytime in winter, and 14.3% wheeze (table 1). Each symptom was strongly associated with a previous diagnosis of emphysema or asthma (p<0.001). The prevalence of each symptom was higher in men and among ex and current smokers, and increased with decreasing quintile of the Carstairs index (p<0.001). A total of 3217 people died (565 of respiratory causes) over a mean follow up period of 4.1 years (range 3.8 months to 5 years). There was a total of 63 287 person-years of follow up. The overall unadjusted death rate was 47.75 per 1000 per year (95% CI 44.83 to 50.89).

Table 1

 Prevalence (with 95% CI) of respiratory symptoms and their distribution in an elderly population

The reporting of any respiratory symptom increased the hazard ratios for all cause mortality and respiratory mortality with 2–3-fold risks for adjusted respiratory mortality (all p<0.001). The adjusted respiratory mortality hazard ratios were consistently higher than both all cause and cardiovascular mortality hazard ratios, which were similar (table 2). Adjusted mortality rates stratified by sex did not differ for any symptom. Stratification for smoking led to different results. Ex-smokers and current smokers had higher rates for phlegm in the winter morning and phlegm at any time of the day than lifelong non-smokers, but the hazard ratios for both all cause and respiratory mortality were similar to each other. The hazard ratios for wheeze increased continuously from non-smokers to ex-smokers to current smokers.

Table 2

 Hazard ratios (with 95% CI) for respiratory symptoms in an elderly population

DISCUSSION

The prevalence estimates reported in this study constitute the largest estimate of respiratory symptoms among older people and the first time these symptoms have been used as predictors of mortality in an elderly population.

The prevalence of phlegm in winter mornings has previously been found to be 27.2% in men and 14.6% in women in a group aged 60–70 years.6 The results obtained from our study (35.7% for men and 21.6% for women) suggest that phlegm in winter mornings is more prevalent in later life. Previous survey estimates of the prevalence of daily sputum production are around 36% in individuals aged over 45 years5 and 22% in a slightly older group of people (aged up to 66 years).13 In our study the prevalence of phlegm at any time of the day or night during winter was 16.5% (95% CI 16.3 to 16.7), less than in younger age groups; 14.5% is the first estimate for daily wheeze as a symptom in this age group.

Sputum production and wheeze are likely to reflect underlying chronic obstructive airways disease. The strong associations found between respiratory symptoms and previous diagnoses of asthma and emphysema support this. In addition, asthma is recognised as being underdiagnosed in this age group14 and this will be the underlying diagnosis in some individuals with wheeze not previously diagnosed with asthma.

The mortality rates for both all cause mortality and respiratory mortality when stratified by smoking groups for phlegm in the winter mornings and phlegm at any time of the day are interesting. Both show ex-smokers and current smokers to have a similar hazard ratio. The reasons for this are unclear. It is possible that this symptom is a good marker for underlying disease in ex-smokers or that there is less benefit in smoking cessation in individuals with either of these two symptoms. In addition, many smokers will have died before the age of 75 years and it is possible that elderly smokers may be less susceptible to certain symptoms caused by smoking and smoking related disease. The hazard ratio for wheeze increased with each smoking group, suggesting a continued negative effect of smoking.

The increased hazard ratios show that, in older people, respiratory symptoms are very strong predictors of death. The mortality hazard ratios were higher for respiratory death than for cardiovascular death. This implies that respiratory symptoms are particularly good indicators of respiratory mortality, although the lack of formal lung function testing in this study to support this must be noted as a limitation. However, it is unlikely that reporting bias is an explanatory factor because of the high predictive association with respiratory death. Another limitation is the response rate of the questionnaire. The response rate of over 70% is very good. Nonetheless, it is well established from epidemiological surveys that the 30% of non-responders are more likely to have poor health and less health seeking behaviour.

As respiratory symptoms predict mortality, it would seem sensible to recommend treatment on the basis of symptoms alone. In the elderly population, where respiratory function testing can be difficult and unreliable, this would seem especially so. Smoking cessation advice and treatment should be offered to all who continue to smoke, particularly in those with a wheeze.

Our results form the largest and most representative study of respiratory symptoms undertaken in people aged 75 years and above. They show that the prevalence of respiratory symptoms is widespread. These respiratory symptoms are not benign. People with any of these symptoms have increased rates of mortality and the raised hazard ratios can be used as predictors of respiratory death.

Acknowledgments

The authors thank Chris Grundy for providing the Carstairs data.

REFERENCES

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Footnotes

  • Funding was provided for the main trial by the Medical Research Council, the Department of Health, and the Scottish Office. Jonathan Hewitt is funded by NHS Research and Development, Eastern Region. Liam Smeeth was supported by the Medical Research Council.

  • Conflict of interest: none.

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