Chest
Volume 118, Issue 5, November 2000, Pages 1339-1343
Journal home page for Chest

Clinical Investigations
Pneumonia
Applying a Prediction Rule To Identify Low-Risk Patients With Community-Acquired Pneumonia

https://doi.org/10.1378/chest.118.5.1339Get rights and content

Study objectives

To study the validity of a recentlydeveloped community-acquired pneumonia (CAP) severity prediction rulein estimating mortality, to determine its utility in decision makingregarding hospitalization, and to assess factors influencing thisdecision.

Design

Retrospective chart review.

Setting

Two sites of the University Health Network, theToronto General and Toronto Western Hospitals, tertiary-care teachinginstitutions with a sizable primary-care and secondary-care source ofreferrals, and a total of 900 beds.

Patients

Consecutive patients with CAP admitted between February and June1996.

Measurements and results

A single trainedmedical records extractor assembled data to compare our population tothat used in developing the CAP prediction rule, in terms of mortalityand to assess reasons for hospitalization. Two hundred fifty-fiveeligible patients were admitted, and 244 charts (96%) were available.Our patients tended to be older, with nearly four times as manyresidents of chronic care institutions (39% compared with 10%), andhad a higher risk class distribution than the published cohort. Riskclass-specific mortality was similar in four of five classes. Of the 71patients in the low-risk classes, 67 had additional reasons foradmission; 18 of which were psychosocial (homelessness, substanceabuse, or inadequate home supports).

Conclusions

TheCAP severity prediction rule estimates mortality well. Admission oflow-risk patients was linked to psychosocial and other medical reasonsnot captured by this rule. The rule can be very useful in assessing theneed for hospitalization; however, there remains a significantpercentage of patients with a low severity score who may requirehospitalization for psychosocial and economicconsiderations.

Section snippets

Materials and Methods

The study involved the Toronto General and Toronto WesternHospitals of the University Health Network (both are urban downtowntertiary-care teaching hospitals affiliated with the University ofToronto). The study population was comprised of a consecutive cohort ofadults with CAP admitted to the general medical services of thisinstitution over a 5-month period from February 1, 1996, to June 30,1996. Disease definitions and complete inclusion and exclusion criteriahave been published previously.12

Results

Two hundred fifty-five eligible patients were admitted to thehospitals over the 5-month study period. Eleven charts (4%) wereunavailable for review, leaving 244 patients in the present studycohort. The demographics, comorbidities, physical examination findings,and laboratory variables are presented in Table 1. The two cohorts were similar in most respects; however, somedifferences were identified. In our study population, the proportion ofnursing home patients was nearly fourfold higher than in

Discussion

We applied the PSI to a group of patients admitted to ourinstitution with CAP to assess its validity regarding mortalityprediction and possible utility in admission decision making. The PSIpredicted mortality very well and appears to be able to stratifylow-risk (class I to III) from high-risk (class IV to V) subgroups. Ourmortality rates were remarkably similar to those predicted by the PSIdespite our relatively small sample size. The marked difference inmortality in the class III patients most

Conclusion

The PSI appears to be an excellent predictor of mortality, but itsuse as the principal variable in making the admission decision couldcompromise patient care, especially in the socioeconomicallydisadvantaged. It has been shown that uninsured persons have greaterdifficulty accessing inpatient care,14 fewer procedures,and shorter hospitalizations,15 and are more likely toreceive substandard care for medical injury.16 Otherauthors have found that in Canada, despite a socialized medical system,the

ACKNOWLEDGMENT

We wish to thank Drs. Moira Kapral and HowardLeong-Poi, and all the attending staff in the Clinical Teaching Unitsand housestaff at the Toronto General and Western Hospitals during theacademic year 1995 to 1996 for making this project possible.

References (17)

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