BACKGROUND The British Thoracic Society (BTS) developed a rule (BTSr) based on severity criteria to predict short term mortality in adults admitted to hospital with community acquired pneumonia (CAP). However, neither the BTSr nor a recent modification of it (mBTSr) have been validated in the UK. A case-control study was conducted in a typical UK population to determine the clinical factors predictive of mortality and to assess the performance of these rules.
METHODS Cases were drawn from all patients with CAP who died in 1997 in five large hospitals in the Mid Trent area. Controls were randomly selected from survivors. Factors associated with mortality were identified following review of medical case notes and performance of the severity prediction rules assessed.
RESULTS Age >65 years, temperature <37°C, respiratory rate >24 breaths/min, mental confusion, urea concentration of >7 mmol/l, sodium concentration of <135 mmol/l, and the presence of a pleural effusion, all determined on admission, were independently associated with in-hospital mortality on multivariate analysis. The BTSr was 52% sensitive and 79% specific in predicting death while the mBTSr displayed 66% sensitivity and 73% specificity.
CONCLUSIONS The value of three of the four factors (presence of mental confusion, raised respiratory rate, raised urea) used in the mBTSr as predictors of mortality is confirmed. However, the BTSr and mBTSr did not perform as well in this validation study which included a high proportion (48%) of elderly patients (⩾75 years) compared with the derivation studies.
- community acquired pneumonia
- prediction rule
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Community acquired pneumonia (CAP) is common. In the UK it results in about 83 000 admissions to hospital each year and is the fourth leading cause of death.1 Management is crucially dependent on an accurate and early assessment of disease severity. In 1987 the British Thoracic Society (BTS) derived a rule (BTSr) based on three easily measured clinical parameters for predicting patients who had a 21-fold increased risk of death.2 Other prediction rules published since then include a modified BTS rule (mBTSr) which increases the sensitivity of the original rule at the expense of specificity.3 In the USA a pneumonia severity index (PSI) for the stratification of patients with CAP into risk classes based on mortality has also been widely studied.4
Integral to the development of a clinical prediction rule is the demonstration of validity in a separate cohort of patients from the derivation group.5 The adoption of a prediction rule into clinical practice requires that the rule be shown to be “transportable” into the appropriate clinical setting, both geographically and practically.6 Surprisingly, neither the BTSr, mBTSr nor the PSI have ever been validated in the UK.
The aims of this case-control study were to identify the clinical factors independently predictive of mortality, to determine the appropriate cut off values for any continuous variables thus identified, and to validate the BTSr and mBTSr in a UK population, comparing the performance of these rules with the North American PSI.
Adults aged over 16 years admitted to any of the five acute hospitals in the Mid Trent region of the UK (Nottingham City Hospital, University Hospital Nottingham, Derbyshire Royal Infirmary, Derby City General Hospital and King's Mill Hospital, Mansfield) between 1 January 1997 and 31 December 1997 with a diagnosis of pneumonia were identified from computer records. Cases were defined as patients who died during hospital admission. An equal number of controls was drawn randomly from the remaining patients. In the case of multiple admissions within the study period, only the first hospital admission was studied.
Medical case notes of cases and controls were reviewed to confirm the diagnosis of CAP. The inclusion and exclusion criteria were based on those used in the original BTS study. There was no upper age limit. CAP was defined by the presence of shadowing on an admission chest radiograph consistent with infection, inpatient treatment for pneumonia, and a discharge diagnosis of pneumonia. Patients discharged from hospital in the last 10 days were excluded as were patients with tuberculosis, lung cancer, and HIV. Immunocompromised patients (those with neutropenia or on chemotherapy) were also excluded. Treatment with oral steroids was not a cause for exclusion.
Patient demographic features were recorded according to a standard questionnaire. Data for pulse, blood pressure, respiratory rate, the presence of confusion, and oxygen saturation on hospital admission were taken as the first recorded values within 24 hours of admission. Mental status was taken to be normal unless otherwise recorded. Only results of investigations performed within 24 hours of admission were studied. These included haemoglobin, white cell count, platelet count, haematocrit, urea, creatinine, sodium, potassium, alkaline phosphatase, liver enzymes, albumin, pulse oximetry, and blood gas tensions. Initial antibiotic therapy was recorded.
Details of choice of initial antibiotic(s) and route of administration were noted as were the pathogens identified by routine microbiological investigations. The primary outcome measure was in-hospital mortality.
Data were analysed using SPSS Version 8.0 for Windows. Twenty six variables were examined for association with mortality. Most were continuously distributed and, to avoid any assumptions regarding the form of the relationship of these variables to mortality, each was initially re-expressed as four level factors using quartile cut offs. The univariate association of each of the resultant variables with mortality was analysed by logistic regression, with and without adjustment for age as the most likely confounder. Statistical significance was assessed by testing for a difference in odds (binary variables) or a trend in odds across categories (categorical variables).
Variables which were significantly (p<0.05) related to mortality in univariate analysis were entered simultaneously into a multiple logistic regression. Continuous variables were initially entered as four level factors and the independent significance of each was tested as before. Those which remained significant in multivariate analysis were re-categorised into binary factors, if appropriate, using threshold values determined by examination of the multivariate odds ratios. Where the threshold value suggested by our analyses differed from those implicit in one or more of the existing severity criteria, the effect of changing the threshold was investigated. All remaining variables were then tested, one at a time, to confirm their contribution to the multivariate model. Results of multivariate analysis are reported as odds ratios with 95% confidence intervals and p values, taking p<0.05 as the level of statistical significance.
The sensitivities, specificities, positive predictive values, and negative predictive values of the BTS rule and modified BTS rule were calculated and compared. The effect of age on the performance of these rules was also examined. The PSI was calculated for all patients. Missing values required for the computation of the PSI but which are not routinely performed in all hospitals in the UK were taken to be normal. These included albumin, glucose, pH and Po 2 (unless oxygen saturation was independently documented as <90%). The predictive value of the highest risk class of the PSI was compared with the BTS and modified BTS rules.
During the 12 month study period 1253 patients with a primary discharge diagnosis of pneumonia were identified from computer records at the five study hospitals. There were 181 patients who died during hospital admission. Of these, 122 (67%) patients satisfied the study criteria for CAP. A random sample of 181 patients was drawn from the remaining patients stratified by hospital site. Examination of medical records of the first 171 patients yielded 122 controls (71%) satisfying the study inclusion criteria. Patients excluded comprised those who did not have radiographically confirmed pneumonia and those who had nosocomial pneumonia.
The mean age of cases was 76 years (range 19–98) compared with 59 years (range 18–97) in controls (p<0.001).
Initial antimicrobial therapy was given intravenously in 99 (81%) cases and 86 (70%) controls. There was no difference in the proportion of cases or controls receiving intravenous ampicillin, co-amoxiclav or cephalosporin as initial treatment (data not shown). More controls (70%) than cases (52%) received combination therapy comprising a beta lactam plus macrolide on admission. However, this association was not statistically significant after adjusting for age (odds ratio 0.57, confidence interval (CI) 0.32 to 1.03, p = 0.06).
A respiratory pathogen was identified in 13 cases (11%) and 15 controls (13%). Streptococcus pneumoniaewas the commonest pathogen isolated (14 patients) and was recovered from blood cultures in four cases and five controls.Haemophilus influenzae was isolated in one case and seven controls while Pseudomonas aeruginosa was isolated in five cases but none of the control patients. Moraxella catarrhalis andKlebsiella sp was isolated from one case and one control, respectively.
Nine of the 26 variables measured at admission were significantly (p<0.05) associated with mortality after adjusting for age. These were body temperature, respiratory rate, presence of mental confusion, admission from a nursing or residential home, haemoglobin, urea, sodium, albumin, and the presence of an effusion on the chest radiograph (tables 1, 2, and 3). The association of haemoglobin with mortality was of borderline significance when analysed as a trend in odds ratio across the four categories and those in the top quartile had no statistically significant increase in mortality relative to those in the lowest quartile. Blood gas tensions were measured in 137 patients, 26 (19%) of whom were on supplemental oxygen at the time. Neither Pao 2 (regardless of Fio 2) nor the Pao 2/Fio 2 ratio was found to be associated with mortality.
Albumin was not included in the multivariate analysis as data were scanty, reflecting the practice in most hospitals of testing serum albumin levels only if clinically indicated. Complete data were therefore available for multivariate analysis in 186 (76%) subjects. There was no difference in the proportion of cases or controls with complete data.
Age, mental confusion, and presence of a pleural effusion remained significantly (p⩽0.02) associated with mortality when analysed as four level factors while the association of temperature, respiratory rate, and sodium with mortality was of borderline significance (p⩽0.06). In the final model, with continuous variables re-categorised as binary variables, age over 65 years, the presence of confusion, temperature <37°C, respiratory rate >24 breaths/min, urea >7 mmol/l, sodium <135 mmol/l, and the presence of an effusion on the chest radiograph were all found to be independently associated with mortality (table 4). The risk estimates obtained using a respiratory rate of ⩾30 breaths/min as a cut off value (as in the BTSr and mBTSr) were also examined. The resulting odds ratios were marginally smaller for all predictors of mortality (data not shown).
SEVERITY PREDICTION RULES
Of the factors included in the BTSr, missing data were most evident for respiratory rate which was recorded in 99 (81%) cases and 97 (80%) controls. The BTSr had a sensitivity of 52% and specificity of 79% in predicting mortality compared with a sensitivity of 66% and specificity of 73% for the mBTSr (table 5).
In order to assess the effect of missing values on the performance of the prediction rules, we assumed that all missing values for the respiratory rate in cases were ⩾30 breaths/min and that all missing values for respiratory rate in controls were <30 breaths/min. With this correction the sensitivities of the BTS and mBTS rules were still only 58% and 73%, respectively.
Application of the PSI showed that none of the cases was assigned to risk class I although 20 cases (16%) were in risk classes II and III combined (fig 1). Using risk class V to predict patients at high risk of death had a sensitivity of 44% and a specificity of 85% (table5).
We have identified six independent predictors of mortality apart from age. Three of these (raised respiratory rate, raised urea concentration, and presence of mental confusion) form part of the mBTSr.
A raised respiratory rate has consistently been shown to be significantly associated with mortality.3 ,4 ,7-12 In clinical practice a respiratory rate of ⩾30 breaths/min is commonly taken as the threshold indicative of a poor prognosis. However, from our data a respiratory rate of >24 breaths/min was a marginally better predictor of mortality with a plateau effect suggested at rates above 24 breaths/min. This contrasts with the finding of van Eedenet al, based on 34 subjects, of a linear association of respiratory rate with mortality.13
Apart from this study, only two other studies have identified a concentration of urea of >7 mmol/l as an independent predictor of mortality; both had upper age limits.2 ,8Ours is the first study to include a full age range (16–98 years) that has confirmed the value of blood urea concentration of >7 mmol/l on hospital admission as a predictor of mortality. Whether a higher level of urea may need to be used in the very old, as described by Janssenset al, remains unclear.14
ALTERED MENTAL STATE
Our study corroborates work from North America showing that new or altered mental status on hospital admission is independently predictive of mortality.4 ,15 Unfortunately, the retrospective design of our study precluded the use of strict objective criteria for the diagnosis of mental confusion. Use of the abbreviated mental test score16 as a tool for detecting confusion in patients with CAP3 is currently being tested by us.
Compared with younger patients, a lack of pyrexia in elderly patients admitted to hospital with CAP has been shown to be more common and to be a risk factor for mortality. This may reflect the decreased immune response to infection reported in older patients.9 ,14 ,17-19 Our finding that a low body temperature (<37°C) on hospital admission was strongly predictive of mortality in CAP may therefore be related to the proportion of elderly patients in our study (48% were aged ⩾75 years).
A low sodium concentration (<130 mmol/l) has previously been reported to be a predictor of mortality in CAP by Fineet al and forms part of the present PSI.20 Although the mechanism of hyponatraemia in acute pneumonia remains unclear, there is some evidence to implicate a latent vasopressin dependent impairment of water excretion which is related to the extent of radiographic shadowing.21
In their prospective study of radiographic features in CAP Hasleyet al reported that only the presence of bilateral effusions was of prognostic significance.22 Our finding that an effusion on the chest radiograph is associated with mortality is in agreement with this. However, being based on only 15 cases and five controls, we feel that this observation requires confirmation before any clinical significance can be attached to it.
ADMISSION FROM A NURSING OR RESIDENTIAL HOME
To our knowledge, this is the first UK study to examine the contribution of admission from a nursing or residential home to prognosis. Although an association with mortality was found after adjustment for age, this did not remain following multivariate analysis. In contrast, studies conducted in North America have identified nursing home residence as an independent predictor of mortality.12 International differences in nursing home facilities may account for these discrepant findings.
SEVERITY PREDICTION RULES
When applied to our data, the BTS rule predicted mortality with 52% sensitivity and 79% specificity while the modified BTS rule was more sensitive (66%) but marginally less specific (73%). The specificities of these rules are comparable to results from the two derivation studies but the decreased sensitivities were unexpected (BTS rule: sensitivity 88%, specificity 79%; mBTS rule: sensitivity 95%, specificity 71%).
This difference in sensitivity may be due to the relatively large proportion of elderly patients in our study (48% aged ⩾75 years) which reflects the age profile of patients admitted as emergencies with CAP in our age integrated medical service in the UK.1 This suggestion is supported by a recent retrospective study of 1356 patients aged ⩾65 years conducted in the USA where the BTS rule was found to have a sensitivity of only 50.3% and a specificity of 70.3%.23
The PSI has been advocated as a means of stratifying patients into five risk classes according to their risk of mortality. Whether different management strategies can be related to these risk classes remains to be determined.24 In our study a score of >130 (risk class V) was 85% specific in predicting mortality but only 44% sensitive. At present, therefore, there appears to be no advantage in using PSI risk class V to predict mortality compared with the BTS and mBTS rules which are both much simpler to use.
The main weakness of our study is its retrospective design. Collection of some data was therefore incomplete. This was most marked for tests which, in many UK hospitals, are only performed when there is a clinical suspicion that they may be abnormal. These included liver function tests, blood glucose, and blood gas tensions. However, the proportion of missing data was similar for both cases and controls and results were not significantly different when analyses were performed assuming missing values to be normal (data not shown). Importantly, in contrast with many other studies, enough outcome events relative to the number of independent variables examined using multivariate analysis were included (a minimum of 10 outcome events for each independent variable has been recommended).25 Avoidance of overfitting is reflected in the narrow confidence intervals for risk estimates obtained.
We have confirmed the predictive values of three of the four factors included in the mBTS severity rule and the specificities of the BTS and mBTS rules in predicting mortality in patients in the UK with CAP. However, in our study, which included a large proportion of elderly patients, these rules were not shown to be as sensitive as reported in the derivation studies. We therefore have concerns about the use of these rules in the elderly, particularly those aged ⩾75 years, as a reliable indicator of those who donot have severe pneumonia. A study of severity factors for this older age group is the subject of a separate analysis. We advocate the need for a UK prospective validation study specifically addressing the issue of the elderly patient with CAP using well defined criteria for the diagnosis of mental confusion. In the meantime, the application of these severity prediction rules in clinical practice should be tempered by sound clinical judgement.
Funding: This project was funded by a research grant from Hoechst Marion Roussel.
Conflicts of interest: None.
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