Validity of hospital discharge International Classification of Diseases (ICD) codes for identifying patients with hyponatremia

Journal of Clinical Epidemiology

Volumn 56, Issue 6, 2003, Pages 530-535

  Movig, K L L ^a,b   Leufkens, H G M ^a   Lenderink, A W ^b   Egberts, A C G ^a,b  

^a GGZ Midden Brabant   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Hyponatremia; ICD codes; Laboratory values; Record linkage; Sodium

Indexed keywords

SODIUM ION;

ACCURACY; ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITAL MANAGEMENT; HOSPITALIZATION; HUMAN; HYPONATREMIA; INFORMATION SYSTEM; LABORATORY DIAGNOSIS; LABORATORY TEST; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD; PREDICTION; PRIORITY JOURNAL; SODIUM BLOOD LEVEL; VALIDATION PROCESS;

EID: 0038503536     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(03)00006-4     Document Type: Article

References (26)

1. Strom B.L. Data validity in using claims data. Pharmacoepidemiol Drug Saf. 10:2001;389-392.
2. Herings R.M., Bakker A., Stricker B.H., et al. Pharmaco-morbidity linkage: a feasibility study comparing morbidity in two pharmacy based exposure cohorts. J Epidemiol Community Health. 46:1992;136-140.
3. Lau H.S., de Boer A., Beuning K.S., et al. Validation of pharmacy records in drug exposure assessment. J Clin Epidemiol. 50:1997;619-625.
4. Iezzoni L.I., Foley S.M., Daley J., et al. Comorbidities, complications, and coding bias: does the number of diagnosis codes matter in predicting in-hospital mortality? JAMA. 267:1992;2197-2203.
5. Romano P.S., Roos L.L., Luft H.S., et al. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. Ischemic Heart Disease Patient Outcomes Research Team. J Clin Epidemiol. 47:1994;249-260.
6. Geraci J.M., Ashton C.M., Kuykendall D.H., et al. International Classification of Diseases, 9th Revision: clinical modification codes in discharge abstracts are poor measures of complication occurrence in medical inpatients. Med Care. 35:1997;589-602.
7. West S.L., Strom B.L., Poole C. Validity of pharmacoepidemiological drug and diagnosis data. Strom B.L. Pharmacoepidemiology. 2000;661-705 John Wiley & Sons, Chichester.
8. Iezzoni L.I. Using administrative diagnostic data to assess the quality of hospital care: pitfalls and potential of ICD-9-CM. Int J Technol Assess Health Care. 6:1990;272-281.
9. Movig K.L., Leufkens H.G., Lenderink A.W., et al. Serotonergic antidepressants associated with an increased risk for hyponatraemia in the elderly. Eur J Clin Pharmacol. 58:2002;143-148.
10. Movig K.L., Leufkens H.G., Lenderink A.W., et al. Association between antidepressant drug use and hyponatraemia: a case-control study. Br J Clin Pharmacol. 53:2002;363-369.
11. Reeves W.B., Buchet D.G., Andreoli T.E. Posterior pituitary and water metabolism. Wilson J., Foster D. Williams textbook of endocrinology. 1998;341-387 WB Saunders, Philadelphia.
12. Singer G.G., Brenner B.M. Fluids and electrolytes. Braunwald E., Fauci A.S., Kasper D.L., Hauser S.L., Longo D.L., Jameson J.L. Harrison's principles of internal medicine. 2001;271-283 McGraw-Hill, New York.
13. Kumar S., Berl T. Sodium. Lancet. 352:1998;220-228.
14. Siegler E.L., Tamres D., Berlin J.A., et al. Risk factors for the development of hyponatremia in psychiatric patients. Arch Intern Med. 155:1995;953-957.
15. Hennekens C.H., Buring J.E. Epidemiology in medicine. 1987;Little, Brown and Compagy, Boston/Toronto.
16. Bouvy M.L., Heerdink E.R., De Bruin M.L., et al. Use of sympathomimetic drugs leads to increased risk of hospitalization for arrhythmias in patients with congestive heart failure. Arch Intern Med. 160:2000;2477-2480.
17. Milionis H.J., Bourantas C.L., Siamopoulos K.C., et al. Acid-base and electrolyte abnormalities in patients with acute leukemia. Am J Hematol. 62:1999;201-207.
18. Flear C.T., Gill G.V., Burn J. Hyponatraemia: mechanisms and management. Lancet. 2:1981;26-31.
19. Gill G., Leese G. Hyponatremia: biochemical and clinical perspectives. Postgrad Med J. 74:1998;516-523.
20. Raiford D.S., Perez Gutthann S., Garcia Rodriguez L.A. Positive predictive value of ICD-9 codes in the identification of cases of complicated peptic ulcer disease in the Saskatchewan hospital automated database. Epidemiology. 7:1996;101-104.
21. Cattaruzzi C., Troncon M.G., Agostinis L., et al. Positive predictive value of ICD-9th codes for upper gastrointestinal bleeding and perforation in the Sistema Informativo Sanitario Regionale database. J Clin Epidemiol. 52:1999;499-502.
22. McCarthy E.P., Iezzoni L.I., Davis R.B., et al. Does clinical evidence support ICD-9-CM diagnosis coding of complications? Med Care. 38:2000;868-876.
23. Miller M., Hecker M.S., Friedlander D., et al. Apparent idiopathic hyponatremia in an ambulatory geriatric population. J Am Geriatr Soc. 44:1996;404-408.
24. Powell H., Lim L.L., Heller R.F. Accuracy of administrative data to assess comorbidity in patients with heart disease: an Australian perspective. J Clin Epidemiol. 54:2001;687-693.
25. Tegeder I., Levy M., Muth-Selbach U., et al. Retrospective analysis of the frequency and recognition of adverse drug reactions by means of automatically recorded laboratory signals. Br J Clin Pharmacol. 47:1999;557-564.
26. Bright R.A., Avorn J., Everitt D.E. Medicaid data as a resource for epidemiologic studies: strengths and limitations. J Clin Epidemiol. 42:1989;937-945.