| Literature DB >> 31859946 |
Ronise Malaquias Carlos Valadares1,2, Wânia da Silva Carvalho3, Silvana Spíndola de Miranda1.
Abstract
INTRODUCTION: Adverse drug reactions can develop when using anti-tuberculosis medication, and the effects of the drugs can also significantly hinder the treatment of patients.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31859946 PMCID: PMC7083343 DOI: 10.1590/0037-8682-0207-2019
Source DB: PubMed Journal: Rev Soc Bras Med Trop ISSN: 0037-8682 Impact factor: 1.581
Adverse drug reactions to anti-tuberculosis medications self-reported by patients (n=73).
| Adverse drug reactions | Patients with ADR | ||
|---|---|---|---|
| n | % | ||
| Gastrointestinal | Increased appetite | 36 | 49.3 |
| Nausea | 28 | 38.3 | |
| Anorexia | 21 | 28.8 | |
| Diarrhea | 20 | 27.4 | |
| Epigastralgia | 18 | 24.7 | |
| Constipation | 15 | 20.5 | |
| Heartburn | 12 | 16.4 | |
| Hepatitis | 2 | 2.7 | |
| Dermatological | Pruritus | 24 | 32.9 |
| Exfoliative dermatitis | 16 | 21.9 | |
| Rash | 9 | 12.3 | |
| Acneiform spots | 2 | 2.7 | |
| Osteoarticular | Arthralgia | 21 | 28.8 |
| Arthritis | 6 | 8.2 | |
| Psychiatric | Emotionalism | 34 | 46.6 |
| Anxiety | 30 | 41.1 | |
| Alterations in memory and concentration | 18 | 24.6 | |
| Psychosis | 12 | 16.4 | |
| Aggression | 9 | 12.3 | |
| Euphoria | 5 | 6.8 | |
| Neurological | Dry mouth | 41 | 56.2 |
| Postural hypotension | 34 | 46.6 | |
| Insomnia | 27 | 37.0 | |
| Drowsiness | 18 | 24.6 | |
| Vestibulocochlear toxicity | 3 | 4.1 | |
| Hematological | Anemia | 8 | 11.0 |
| Renal | Dysuria | 41 | 56.2 |
| Difficulty in urination | 5 | 6.8 | |
| Other effects | Red urine | 50 | 68.5 |
| Red feces | 26 | 35.6 | |
| Alteration in the visual field | 26 | 35.6 | |
| Fever | 10 | 13.7 | |
| Flu | 3 | 4.1 | |
| Oligo- or amenorrhea | 3 | 4.1 | |
| Alteration in color vision | 1 | 1.4 | |
| Asthma | 1 | 1.4 | |
Average, percentage, pattern deviation, and correlation coefficient of Spearman quality of life (QOL) with physical, psychological, social relations, and environmental domains (n=73).
| Area | Average | % | Pattern deviation | Global coefficient | P-value |
|---|---|---|---|---|---|
| Global | 13.5 | 67.3 | 1.50 | 1.0 | |
| Physical | 12.2 | 61.2 | 1.96 | 0.664 | <0.001 |
| Psychological | 14.5 | 72.7 | 2.22 | 0.803 | <0,001 |
| Social relations | 11.3 | 56.4 | 2.92 | 0.390 | <0.001 |
| Environmental | 14.3 | 71.3 | 1.82 | 0.642 | <0.001 |
Inferential analysis of quality of life with sociodemographic, behavioral, and clinical variables and adverse drug reactions to anti-tuberculosis medications (n=73).
| Variable | Univariate | Multivariate | ||
|---|---|---|---|---|
| P-value | Confidence Interval (95%) | Coefficient | P-value | |
| Sex | 0.643 | (-0.990-0.0615) | ||
| Female | ||||
| Male | ||||
| Educational level | ||||
| Illiterate | ||||
| Primary | 0.022 | (0.276-3.388) | 0.848 | 0.047 |
| Secondary | 0.060 | (-0.070-3.419) | ||
| Higher | 0.013 | (0.580-4.805) | 2.185 | 0.008 |
| Unknown | ||||
| Age, years | 0.076 | (-1.398-0.071) | ||
| 18-40 | ||||
| >40 | ||||
| Race/ethnicity | ||||
| White | ||||
| Black | 0.806 | (-1.056-1.354) | ||
| Olive-skinned | 0.540 | (-0.766-1.452) | ||
| Special population | ||||
| Prisoner | ||||
| Homeless population | 0.109 | (-3.600-0.370) | ||
| No | 0.623 | (-2.163-1.304) | -1.634 | 0.006 |
| Input type | ||||
| New case | ||||
| Relapse | 0.794 | (-0.805-1.048) | ||
| Re-admitted after cessation | 0.645 | (-1.019-0.635) | ||
| Length of exposure | 0.696 | -(0.004-0.005) | ||
| Associated disorders | ||||
| Alcoholism | 0.939 | (-0.679-0.733) | ||
| Smoking | 0.864 | (-0.767-0645) | ||
| Sensibility profile | 0.092 | (-0.108-1.399) | ||
| Sensitive | ||||
| Resistant | ||||
| Type of ADR | 0.016 | (-1.793-0.192) | -1.040 | 0.012 |