BackgroundAccurately indentifying heart failure (HF) patients from administrative claims data is useful for both research and quality of care efforts. Yet, there are few comparisons of the various claims data criteria (also known as claims signatures) for identifying HF patients. We compared various HF claim signatures to assess their relative accuracy.MethodsIn this retrospective study, we identified 4174 patients who received care from a large health system in southeast Michigan and who had ≥1 HF encounter between January 1, 2004 and December 31, 2005. Four hundred patients were chosen at random and a detailed chart review was performed to assess which met the Framingham HF criteria. The sample was divided into 300 subjects for derivation and 100 subjects for validation. Sensitivity, specificity,, and area under the curve (AUC) were determined for the various claim signatures. The criteria with the highest AUC were retested in the validation set.ResultsOf the 400 patients sampled, 65% met Framingham HF criteria, and 56% had at least one B-type Natriuretic Peptide (BNP) measurement. There was substantial variation between claims signatures in terms of sensitivity (range 15%-77%) and specificity (range 69%-100%). The best performing criteria in the derivation set was if patients met any one of the following: ≥2 HF encounters, any hospital discharge diagnosis of HF, or a BNP ≥200 pg/ml. These criteria showed a sensitivity of 76%, specificity of 75%, and AUC of 0.754 for meeting the Framingham HF criteria. This claims signature performed similarly in the validation set.ConclusionClaim signatures for HF vary greatly in their relative sensitivity and specificity. These findings may facilitate efforts to identify HF patients for research and quality improvement efforts.
Patients with abnormal SMPI and ICAD have a 13% event rate of MACE over a two-year follow up. CKD seems a very important marker of a higher risk subgroup amongst such patients.
Introduction:
Smoking is a well established risk factor for acute myocardial infarction (AMI). The potential impact of a nationwide comprehensive smoking ban (CSB) legislation on the incidence of AMI hospital admissions is not known. The aim of this analysis is to determine the impact of a nationwide CSB legislation on the incidence of AMI hospitalizations.
Methods:
We contacted the department of health at states with no CSB law for information on the total number of AMI discharges (ICD-9-CM 410), length of stay and charges in dollars for 2007. Expected decrease in the number of AMI in the year following a potential implementation of a nationwide CSB was calculated by multiplying the current number of AMI by the pooled relative risk reduction (RRR) obtained from a recent published meta analysis (RR 0.89).
Results:
In 2007, 37 States had CSB laws. There were 169,043 AMI hospitalizations in states without CSB. A nationwide smoking ban would result in 18,596 less AMI hospitalizations in the year following such a ban. This is associated with more than 92 million dollars in direct cost savings.
Conclusion:
A nationwide CSB legislation would result in significant reduction in the number of AMI hospitalizations. This is associated with significant cost saving. Further studies are needed to evaluate the impact of CSB on admission from other disease states.
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