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To determine resident and facility characteristics associated with do-not-resuscitate (DNR) orders and to test the effect of DNR orders on hospitalization of acutely ill nursing home (NH) residents with lower respiratory tract infections (LRIs). Prospective cohort. Thirty-six NHs (almost 4,000 residents) in central and eastern Missouri in the Missouri Lower Respiratory Infection study. NH residents with a LRI (n=1031). Data were obtained from new Minimum Data Set evaluations, resident examination, and chart review. Associations between resident, physician, and facility characteristics and the presence of a DNR order and hospitalization within 30 days from evaluation for an LRI were analyzed. Sixty percent of subjects had a DNR order, and 2% had a do-not-hospitalize order. Resident characteristics associated with a DNR order included older age, white race, having a surrogate decision-maker, NH residence for longer than 3 years, and more-impaired cognition. Residents with DNR orders were more likely to live in facilities with more licensed beds, a lower proportion of Medicaid recipients, and a higher prevalence of influenza vaccination. After controlling for potential confounders, residents with a DNR order before the acute illness episode were significantly less likely to be hospitalized (adjusted odds ratio=0.69, 95% confidence interval=0.49–0.97). DNR orders independently reduce the risk of hospitalization for LRI and may function as a marker for undocumented care limitations or as a mandate to limit care (unrelated to resuscitation) in NH residents with LRI. [ABSTRACT FROM AUTHOR]

Background. Determining prognosis for nursing home residents is important for care planning, but reliable prediction is difficult. We compared performance of four long-term mortality risk indices for nursing home residents—the Minimum Data Set Mortality Risk Index (MMRI), a recent revision to this index (MMRI-R), and the original and revised Flacker–Kiely models. Methods. We conducted a prospective cohort study in one 92-bed facility in Missouri. Participants were 130 residents who received a Minimum Data Set assessment from May through October, 2007. We collected the Minimum Data Set variables needed to calculate the mortality risk scores. We determined 6- and 12-month mortality for included residents. Using each mortality risk score as the sole independent predictor in logistic models predicting mortality, we determined discrimination (c-statistic) and calibration (Hosmer–Lemeshow goodness-of-fit statistic) for each model. Results. In our sample, discrimination was 0.59 for both the MMRI and the MMRI-R. Discrimination of the original Flacker–Kiely model was 0.69 for both 6 months and 1 year and 0.71 and 0.70, respectively, for the revised model. Model calibration was adequate for all models. Conclusions. Performance of four models that predict long-term mortality of nursing home residents was fair. In our population, the Flacker–Kiely models had similar and markedly better discrimination than either the MMRI or the MMRI-R. [ABSTRACT FROM PUBLISHER]

Identifies patient characteristics predictive of 30-day mortality in nursing home residents with a lower respiratory tract infection (LRI). Design, setting, and patients in the study made in Missouri; Main outcome measures; Results; Conclusion that the research distinguishes those at relatively low risk for mortality due to LRI.

OBJECTIVE: Subtle presentation and the frequent lack of on-site physicians complicate the diagnosis of pneumonia in nursing home residents. We sought to identify clinical findings (signs, symptoms, and simple laboratory studies) associated with radiographic pneumonia in sick nursing home residents. STUDY DESIGN: This was a prospective cohort study. POPULATION: The residents of 36 nursing homes in central Missouri and the St. Louis area with signs or symptoms suggesting a lower respiratory infection were included. OUTCOME MEASURED: We compared evaluation findings by project nurses with findings reported from chest radiographs. RESULTS: Among 2334 episodes of illness in 1474 nursing home residents, 45% of the radiograph reports suggested pneumonia (possible = 12%; probable or definite = 33%). In 80% of pneumonia episodes, subjects had 3 or fewer respiratory or general symptoms. Eight variables were significant independent predictors of pneumonia (increased pulse, respiratory rate ≥30, temperature ≥38°C, somnolence or decreased alertness, presence of acute confusion, lung crackles on auscultation, absence of wheezes, and increased white blood count). A simple score (range = -1 to 8) on the basis of these variables identified 33% of subjects (score ≥3) with more than 50% probability of pneumonia and an additional 24% (score of 2) with 44% probability of pneumonia. CONCLUSIONS: Pneumonia in nursing home residents is usually associated with few symptoms. Nonetheless, a simple clinical prediction rule can identify residents at very high risk for pneumonia. If validated in other studies, physicians could consider treating such residents without obtaining a chest radiograph. INSET: KEY POINTS FOR CLINICIANS.. [ABSTRACT FROM AUTHOR]