| Literature DB >> 31546833 |
Meng-Huan Wu1, Chien-Yu Li2, Huichin Pan3,4, Yu-Chieh Lin5,6.
Abstract
BACKGROUND: Scabies is a commonly occurring infectious skin infestation that substantially impacts the quality of life, while stroke, which consists of a neurological deficit resulting from a lack of blood flow to the brain, carries sizable economic costs. The pathophysiologic mechanisms underlying both diseases involve inflammatory processes that are mediated by the immune system; however, no prior research has been conducted to explore the relationship between the two conditions.Entities:
Keywords: National Health Insurance Research Database; scabies; stroke
Mesh:
Year: 2019 PMID: 31546833 PMCID: PMC6766212 DOI: 10.3390/ijerph16183491
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Flowchart of recruitment of subjects from the 1-million random sample of the National Health Insurance Research Database (NHIRD) from 2000 to 2006 in Taiwan. The exclusion criteria of the study was including: (1) Patients who were diagnosed with scabies before 1 January 2001 (n =1420); (2) Patients with missing medical records (n = 115); (3) patients <19 years old (n = 2492); (4) patients with history of scabies or stroke (n = 1302).
Age group, gender, and comorbidity distributions of the scabies group and control group subjects.
| Variable | Number of (%) Individuals | ||
|---|---|---|---|
| With Scabies | Without Scabies | ||
| Gender | 0.998 | ||
| Female | 3196 (48.2%) | 12,783 (48.2%) | |
| Male | 3432 (51.8%) | 13,726 (51.8%) | |
| Age_Group | 1 | ||
| 20–29 | 1797 (27.1%) | 7188 (27.1%) | |
| 30–39 | 1227 (18.5%) | 4908 (18.5%) | |
| 40–49 | 1236 (18.6%) | 4944 (18.7%) | |
| 50–59 | 869 (13.1%) | 3476 (13.1%) | |
| 60–69 | 552 (8.3%) | 2208 (8.3%) | |
| ≥70 | 947 (14.3%) | 3785 (14.3%) | |
| Income_Group | 0.001 | ||
| <20,000 | 5039 (76%) | 19,697 (74.3%) | |
| 20,000–39,999 | 1027 (15.5%) | 4287 (16.2%) | |
| 40,000–59,999 | 433 (6.5%) | 1817 (6.9%) | |
| ≥60,000 | 129 (1.9%) | 708 (2.7%) | |
| Geography | <0.001 | ||
| North | 3053 (46.1%) | 13,893 (52.4%) | |
| Central | 1260 (19%) | 4598 (17.3%) | |
| South | 1993 (30.1%) | 7308 (27.6%) | |
| Other (East+ Penghu) | 322 (4.9%) | 710 (2.7%) | |
| Urbanization | <0.001 | ||
| 1 (highest) | 1564 (23.6%) | 8017 (30.2%) | |
| 2 | 2051 (30.9%) | 7929 (29.9%) | |
| 3 | 1144 (17.3%) | 4870 (18.4%) | |
| 4 | 1051 (15.9%) | 3440 (13%) | |
| 5 | 144 (2.2%) | 466 (1.8%) | |
| 6 | 362 (5.5%) | 947 (3.6%) | |
| 7 (lowest) | 312 (4.7%) | 840 (3.2%) | |
| Comorbidity | |||
| DM | 1372 (20.7%) | 3499 (13.2%) | <0.001 |
| Hypertension | 2274 (34.3%) | 6540 (24.7%) | <0.001 |
| CHD | 1239 (18.7%) | 3211 (12.1%) | <0.001 |
| Hyperlipidemia | 1645 (24.8%) | 5261 (19.8%) | <0.001 |
| CKD | 464 (7%) | 935 (3.5%) | <0.001 |
| Atrial_fibrillation | 176 (2.7%) | 375 (1.4%) | <0.001 |
DM, Diabetes mellitus. CHD, coronary heart disease. CKD, chronic kidney disease.
Cox regression analysis results regarding the degree to which a past scabies infection is predictive of subsequent stroke versus no such past infection.
| Variable | Number of (%) Individuals | |
|---|---|---|
| With Scabies | Without Scabies | |
| With stroke | 833 (12.6) | 2059 (7.8) |
| Without stroke | 5795 (87.4) | 24,450 (92.2) |
| Crude HR | 1.67 (1.54–1.81) ‡ | - |
‡p < 0.001 for comparison between patients in the two groups. HR, hazard ratio.
Cox regression analysis results regarding the degree to which independent factors are predictive of stroke.
| Variable | Crude | Adjusted |
|---|---|---|
| HR (95% CI) | HR * (95% CI) | |
| Scabies | 1.67 (1.54–1.81) ‡ | 1.32 (1.21–1.43) ‡ |
| Gender | ||
| Female | 1 | - |
| Male | 1.06 (0.99–1.14) | - |
| Age_Group | ||
| 20–29 | 1 | 1 |
| 30–39 | 2.01 (1.58–2.57) ‡ | 1.69 (1.32–2.16) ‡ |
| 40–49 | 4.4 (3.56–5.46) ‡ | 2.63 (2.11–3.28) ‡ |
| 50–59 | 9.51 (7.74–11.68) ‡ | 3.74 (3.01–4.65) ‡ |
| 60–69 | 18.49 (15.1–22.64) ‡ | 5.53 (4.46–6.87) ‡ |
| ≥70 | 24.32 (20.05–29.52) ‡ | 7.99 (6.49–9.83) ‡ |
| Income_Group | ||
| <20,000 | 1 | 1 |
| 20,000–39,999 | 0.54 (0.47–0.6) ‡ | 1.02 (0.9–1.17) |
| 40,000–59,999 | 0.44 (0.36–0.54) ‡ | 0.77 (0.62–0.94) † |
| ≥60,000 | 0.58 (0.43–0.76) ‡ | 0.72 (0.54–0.96) † |
| Geography | ||
| North | 1 | 1 |
| Central | 1.13 (1.02–1.25) ‡ | 0.94 (0.84–1.05) |
| South | 1.23 (1.13–1.34) ‡ | 0.96 (0.87–1.05) |
| Other (East+ Penghu) | 1.73 (1.45–2.06) ‡ | 1.03 (0.86–1.25) |
| Urbanization | ||
| 1 (highest) | 1 | 1 |
| 2 | 1.07 (0.97–1.19) | 1.04 (0.94–1.16) |
| 3 | 1.2 (1.07–1.35) † | 1.14 (1.01–1.28) † |
| 4 | 1.61 (1.44–1.81) ‡ | 1.15 (1.01–1.29) † |
| 5 | 2.31 (1.86–2.86) ‡ | 1.18 (0.94–1.47) |
| 6 | 1.84 (1.55–2.17) ‡ | 1.07 (0.9–1.29) |
| 7 (lowest) | 1.85 (1.55–2.21) ‡ | 1.13 (0.94–1.37) |
| Comorbidity | ||
| DM | 4.44 (4.12–4.78) ‡ | 1.36 (1.25–1.47) ‡ |
| Hypertension | 9.4 (8.64–10.23) ‡ | 3.19 (2.88–3.54) ‡ |
| CHD | 6.25 (5.81–6.73) ‡ | 1.63 (1.5–1.77) ‡ |
| Hyperlipidemia | 3.09 (2.87–3.32) ‡ | 1.16 (1.07–1.26) ‡ |
| CKD | 4.89 (4.42–5.41) ‡ | 1.25 (1.13–1.39) ‡ |
| Atrial_fibrillation | 7.36 (6.47–8.38) ‡ | 1.61 (1.4–1.84) ‡ |
* Each variable was adjusted for every other variable listed whose crude HR was significant (p < 0.05). † p < 0.05 for comparison between patients with two groups. ‡ p < 0.001 for comparison between patients with two groups.