| Literature DB >> 21701643 |
Alpa Pragnesh Gor1, Miti Saksena.
Abstract
OBJECTIVES: To identify the ADRs due to NSAIDs and to know how to monitor the drug's effect.Entities:
Keywords: Adverse drug reaction; nonsteroidal anti-inflammatory drug; pharmacovigilance
Year: 2011 PMID: 21701643 PMCID: PMC3117565 DOI: 10.4103/0976-500X.77104
Source DB: PubMed Journal: J Pharmacol Pharmacother ISSN: 0976-500X
Age and sex of the patients
| Age group | Males | Females | Total |
|---|---|---|---|
| I (18–65 years) | 54 (60) | 35 (40) | 89 |
| II (>65 years) | 5 (45.5) | 6 (54.5) | 11 |
| Total | 59 | 41 | 100 |
χ2: 9.008, P value >0.003
Drug utilization and adverse drug reaction
| Name of drugs | Number of patients | Number of ADRs n (%) |
|---|---|---|
| Diclofenac | 65 | 19 (73) |
| Paracetamol | 12 | 2 (7) |
| Nimesulide | 10 | 4 (16) |
| Ibuprofen | 6 | 0 (0) |
| Etoricoxib | 2 | 1 (4) |
| Piroxicam | 5 | 0 (0) |
| Total | 100 | 26 (100) |
ADR-adverse drug reactions
Age of patients and adverse drug reactions
| Age group (years) | Number of patients | ||
|---|---|---|---|
| With ADR n (%) | Without ADR n (%) | Total | |
| 18–65 | 19 (22) | 70 (78) | 89 |
| >65 | 7 (64) | 4 (36) | 11 |
| Total | 26 | 74 | 100 |
Fischer’s exact test – relative risk = 0.34 with 95% CI (0.18–0.61) and P value as 0.006, ADR-adverse drug reactions
Sex of patients and adverse drug reactions
| Number of patients | ||||
|---|---|---|---|---|
| Sex | With ADR n (%) | Without ADR n (%) | Total | |
| Males | 15 (25) | 44 (75) | 59 | |
| Females | 11 (26) | 30 (74) | 41 | |
| Total | 26 | 74 | 100 | |
Fisher’s exact test – relative risk = 0.95 with 95% CI (0.48–1.8) and P value as 1.00, ADR-adverse drug reactions