Brief Report
Hospital discharge diagnoses of ventricular arrhythmias and cardiac arrest were useful for epidemiologic research

https://doi.org/10.1016/j.jclinepi.2005.04.009Get rights and content

Abstract

Objective

We investigated the validity of hospital discharge diagnosis regarding ventricular arrhythmias and cardiac arrest.

Methods

We identified patients whose record in the PHARMO record linkage system database showed a code for ventricular or unspecified cardiac arrhythmias according to codes of the International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM). The validity of ICD codes for ventricular arrhythmias and cardiac arrest (427.1, 427.4, 427.41, 427.42, 427.5, 427.69) and ICD codes for unspecified cardiac arrhythmias (427.2, 427.60, 427.8, 427.89, 427.9) was ascertained through manual review of hospital clinical records. The positive predictive value (PPV) was calculated, and differences between characteristics of true and false positives were evaluated.

Results

The PPV of ICD codes for ventricular arrhythmias and cardiac arrest was 82% (95% confidence interval CI = 72–92). True positive results were associated with male gender (P = .09) and younger age (P = .05). Of the unspecified cardiac arrhythmias 10% (95% CI = 2–18) were identified as ventricular arrhythmias or cardiac arrest.

Conclusion

Hospitalizations for ventricular cardiac arrhythmias and cardiac arrest (coded according to ICD-9-CM as paroxysmal ventricular tachycardia, ventricular fibrillation, ventricular flutter, ventricular premature beats, or cardiac arrest) have a high PPV and are useful for selecting events in epidemiological studies on drug-induced arrhythmias.

Introduction

Adverse drug reactions that require hospitalization fulfill the criteria for serious according to the ICH Harmonised Tripartite Guideline [1]. Hospitalizations are widely used to define outcomes in pharmacoepidemiologic database studies on side effects of drugs [2], [3], [4], [5], [6]. The most commonly used coding system to categorize hospital discharge diagnosis is the International Classification of Diseases (ICD) [7]. Classification in a computerized medical database can be subject to errors, however, ranging from incomplete reporting by a physician to typing errors by a coding clerk [8]. Several researchers have assessed the validity of hospital discharge records for various diseases, comparing the data with either original medical records [9], [10], [11], [12] or computerized information from the clinical chemical laboratory [13].

Drugs that prolong cardiac repolarization, manifested as a prolonged QTc interval on the surface electrocardiogram (ECG), may induce torsade de pointes ventricular tachycardia, which is generally preceded by ventricular premature beats [14]. Torsade de pointes may develop into ventricular fibrillation, which leads to cardiac arrest and requires electrocardioversion to restore normal rhythm [15]. Hospitalizations for ventricular arrhythmias and cardiac arrest may function as an epidemiologic study endpoint of interest, when assessing the risk for drug-induced arrhythmias among patients taking QTc-prolonging drugs.

We investigated the positive predictive value (PPV) of hospital discharge diagnosis of ventricular cardiac arrhythmias and cardiac arrest, classified according to ICD codes matching this definition. In addition, ICD codes for unspecified cardiac arrhythmias were scrutinized for ventricular cardiac arrhythmias and cardiac arrest as well.

Section snippets

Setting

Data were obtained from the PHARMO record linkage system, which contains drug dispensing records from community pharmacies and linked hospital discharge records of a defined population of 330,000 residents of eight medium-sized Dutch cities. In the Netherlands, as in many other countries, every hospital must to collect diagnostic data on all admissions. Discharge diagnoses, coded according to the International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM), are

Results

During the study period, a total number of 111 patients were admitted to one of the four hospitals for ventricular or unspecified cardiac arrhythmias for the first time. All medical records could be retrieved and included 61 records of patients with an ICD code for ventricular arrhythmias or cardiac arrest and 50 records of patients with an ICD code for unspecified cardiac arrhythmias (Table 1). Overall, 55 of the 111 selected discharge diagnoses were validated as being either ventricular

Discussion

In this study, we found a positive predictive value of 82% for ventricular arrhythmias and cardiac arrest of hospitalizations specifically coded as such according to the ICD-9-CM classification. The PPV did not depend on hospital, nor on year of hospitalization, and therefore extrapolation of the results to other hospitals and other years may be justified. Other diagnoses most likely to include some of the misclassified ventricular cardiac arrhythmias and cardiac arrest cases (ICD codes for

Acknowledgments

This research was funded by the Utrecht Institute for Pharmaceutical Sciences, and an unrestricted grant from the Dutch Medicines Evaluation Board. None of the authors has any financial conflicts of interest. We gratefully thank the PHARMO Institute and the hospitals that participated in this project.

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