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A population-based study on the association between acute renal failure (ARF) and the duration of polypharmacy.
BMC Nephrol. 2012 Aug 30; 13:96.BN

Abstract

BACKGROUND

Because of the rapid growth in elderly population, polypharmacy has become a serious public health issue worldwide. Although acute renal failure (ARF) is one negative consequence of polypharmacy, the association between the duration of polypharmacy and ARF remains unclear. We therefore assessed this association using a population-based database.

METHODS

Data were collected from the Taiwan National Health Insurance Research Database (NHIRD) from 2003 through 2006. The case group included patients hospitalized for ARF during 2006, but not admitted due to trauma, surgery, burn trauma, car accident, transplantation, or infectious diseases; the control group included patients hospitalized without ARF. The cumulative number of days of polypharmacy (defined as more than 5 prescriptions per day) for 1 year prior to admission was determined, with patients further subdivided into 4 categories: less than 30 days, 31-90 days, 91-180 days, and over 181 days. The dependent variable was ARF, and the control variables were age, gender, comorbidities in patients hospitalized for ARF, stay in ICUs during ARF hospitalization and site of operation for prior admissions within one month of ARF hospitalization.

RESULTS

Of 20,790 patients who were admitted to hospitals for ARF in 2006, 12,314 (59.23 %) were male and more than 60 % were older than 65 years. Of patients with and without ARF, 16.14 % and 10.61 %, respectively, received polypharmacy for 91-180 days and 50.22 % and 24.12 %, respectively, for over 181 days. A statistical model indicated that, relative to patients who received polypharmacy for less than 30 days, those who received polypharmacy for 31-90, 91-180 and over 181 days had odds ratios of developing ARF of 1.33 (p<0.001), 1.65 (p<0.001) and 1.74 (p<0.001), respectively.

CONCLUSIONS

We observed statistically significant associations between the duration of polypharmacy and the occurrence of ARF.

Authors+Show Affiliations

Department of Nephrology, Taoyuan Veterans Hospital, 100 Cheng Kong Rd, Sec. 3, Taoyuan City 33010, Taiwan.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22935542

Citation

Chang, Yi-Ping, et al. "A Population-based Study On the Association Between Acute Renal Failure (ARF) and the Duration of Polypharmacy." BMC Nephrology, vol. 13, 2012, p. 96.
Chang YP, Huang SK, Tao P, et al. A population-based study on the association between acute renal failure (ARF) and the duration of polypharmacy. BMC Nephrol. 2012;13:96.
Chang, Y. P., Huang, S. K., Tao, P., & Chien, C. W. (2012). A population-based study on the association between acute renal failure (ARF) and the duration of polypharmacy. BMC Nephrology, 13, 96.
Chang YP, et al. A Population-based Study On the Association Between Acute Renal Failure (ARF) and the Duration of Polypharmacy. BMC Nephrol. 2012 Aug 30;13:96. PubMed PMID: 22935542.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A population-based study on the association between acute renal failure (ARF) and the duration of polypharmacy. AU - Chang,Yi-Ping, AU - Huang,San-Kuei, AU - Tao,Ping, AU - Chien,Ching-Wen, Y1 - 2012/08/30/ PY - 2012/03/12/received PY - 2012/08/27/accepted PY - 2012/9/1/entrez PY - 2012/9/1/pubmed PY - 2013/5/28/medline SP - 96 EP - 96 JF - BMC nephrology JO - BMC Nephrol VL - 13 N2 - BACKGROUND: Because of the rapid growth in elderly population, polypharmacy has become a serious public health issue worldwide. Although acute renal failure (ARF) is one negative consequence of polypharmacy, the association between the duration of polypharmacy and ARF remains unclear. We therefore assessed this association using a population-based database. METHODS: Data were collected from the Taiwan National Health Insurance Research Database (NHIRD) from 2003 through 2006. The case group included patients hospitalized for ARF during 2006, but not admitted due to trauma, surgery, burn trauma, car accident, transplantation, or infectious diseases; the control group included patients hospitalized without ARF. The cumulative number of days of polypharmacy (defined as more than 5 prescriptions per day) for 1 year prior to admission was determined, with patients further subdivided into 4 categories: less than 30 days, 31-90 days, 91-180 days, and over 181 days. The dependent variable was ARF, and the control variables were age, gender, comorbidities in patients hospitalized for ARF, stay in ICUs during ARF hospitalization and site of operation for prior admissions within one month of ARF hospitalization. RESULTS: Of 20,790 patients who were admitted to hospitals for ARF in 2006, 12,314 (59.23 %) were male and more than 60 % were older than 65 years. Of patients with and without ARF, 16.14 % and 10.61 %, respectively, received polypharmacy for 91-180 days and 50.22 % and 24.12 %, respectively, for over 181 days. A statistical model indicated that, relative to patients who received polypharmacy for less than 30 days, those who received polypharmacy for 31-90, 91-180 and over 181 days had odds ratios of developing ARF of 1.33 (p<0.001), 1.65 (p<0.001) and 1.74 (p<0.001), respectively. CONCLUSIONS: We observed statistically significant associations between the duration of polypharmacy and the occurrence of ARF. SN - 1471-2369 UR - https://www.unboundmedicine.com/medline/citation/22935542/A_population_based_study_on_the_association_between_acute_renal_failure__ARF__and_the_duration_of_polypharmacy_ L2 - https://www.biomedcentral.com/1471-2369/13/96 DB - PRIME DP - Unbound Medicine ER -