Israel Medical Association Journal

Background: C-reactive protein (CRP) blood level is associated with clinical outcomes of several diseases. However, the independent predictive role of CRP in the heterogeneous population of patients admitted to internal medicine wards is not known. 

Objectives: To determine whether single CRP levels at admission independently predicts clinical outcome and flow of patients in general medicine wards.

Methods: This study comprised 275 patients (50.5% female) with a mean age of 68.25 ± 17.0 years, hospitalized with acute disease in a general internal medicine ward. The association between admission CRP levels and clinical outcomes including mortality, the need for mechanical ventilation, duration of hospitalization, and re-admission within 6 months was determined.

Results: A significant association was found between CRP increments of 80 mg/L and risk for the major clinical outcomes measured. The mortality odds ratio (OR) was 1.89 (95% confidence interval (95%CI, 1.37–2.61, P < 0.001), mechanical ventilation OR 1.67 (95%CI, 1.10–2.34, P = 0.006), re-admission within 6 months OR 2.29 (95%CI, 1.66–3.15 P < 0.001), and prolonged hospitalization >7 days OR 2.09 (95%CI, 1.59–2.74, P < 0.001). Lower increments of10 mg/L in CRP levels were associated with these outcomes although with lower ORs. Using a stepwise regression model for admission CRP levels resulted in area under the receiver operating characteristics curves between 0.70 and 0.76 for these outcomes.

Conclusions: A single admission CRP blood level is independently associated with major parameters of clinical outcomes in acute care patients hospitalized in internal medicine wards.

Objectives: To evaluate the predictive value regarding patients' survival once the diagnosis of “general deterioration” replaces an ICD-9 diagnosis upon re-admission.

Methods: In a retrospective cohort case-control study, we screened the records of patients re-admitted at least three times during the past 2 years. For each patient's death during the third hospitalization, we matched (for age and gender) a patient who survived the third hospitalization. We evaluated 14 parameters potentially accountable for increased risk of mortality, e.g., length of stay at each admission, interval to re-admission, etc. We applied a multifactorial analysis using logistic regression to predict the risk of mortality during the third hospitalization as potentially affected by the aforementioned parameters.

Results: The study included 81 study patients and 81 controls. Of the 14 parameters potentially explaining an increased risk of mortality during the third hospitalization, several were found to be statistically significant. The most significant was the diagnostic switch from a specific ICD-9 diagnosis on first admission to the non-specific diagnosis of “general deterioration” at the second hospitalization. In such cases, the risk of death during the third hospitalization was increased by 5300% (odds ratio = 54, P = 0.008). The increased risk of mortality was not restricted to patients with malignancy as their background diagnosis.

Conclusions: At re-admission, a switch from disease-specific diagnosis to the obscure diagnosis “general deterioration” increases the subsequent risk of mortality.

In the last few decades there has been a tendency towards reinstitutionalization.