| Literature DB >> 34938585 |
Yuehong Wei1, Xiugang Guan2, Shixia Zhou2,3, Anran Zhang2,4, Qingbin Lu5, Ziwei Zhou2, Jinjin Chen2, Haiyang Zhang2, Yang Ji2, Baogui Jiang2, Yang Yang6, Zhicong Yang1, Hao Li2, Liqun Fang2,3, Wei Liu2,5.
Abstract
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: Scrub typhus (ST) causes public health challenges in the "tsutsugamushi triangle" in the Asia-Pacific area greater than 13 million square kilometers, affecting an estimated one million people each year. WHAT IS ADDED BY THIS REPORT?: A retrospective study based on 4,501 hospitalized patients with ST in Guangzhou City, China, described the epidemiological and clinical characteristics, laboratory findings of ST, and determined the related factors and a predictive model for severe disease. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: The current study provided updated knowledge that might enable public health policymakers to formulate appropriate measures to prevent ST and medical workers to perform targeted management to recognize and treat severe ST patients. Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021.Entities:
Keywords: Epidemiological and clinical features; Patients; Scrub typhus
Year: 2021 PMID: 34938585 PMCID: PMC8688748 DOI: 10.46234/ccdcw2021.261
Source DB: PubMed Journal: China CDC Wkly ISSN: 2096-7071
Figure 1The spatial distribution of scrub typhus in Guangzhou, China, 2012–2018. (A) The percentage of currently studied cases among all reported cases in each district of Guangzhou City according to National Surveillance Data, 2012–2018; (B) The overall number of reported patients by National Surveillance Systems of Infectious Diseases for each township, 2012–2018.
Baseline demographic and clinical characteristics of patients with scrub typhus in Guangzhou, China, 2012–2018.
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| Sex, n (%) | 0.882† | ||||||||
| Female | 2,450 (54.4) | 310 (55.6) | 371 (55.1) | 394 (53.9) | 323 (53.3) | 348 (56.4) | 323 (53.0) | 381 (54.0) | |
| Male | 2,051 (45.6) | 248 (44.4) | 302 (44.9) | 337 (46.1) | 283 (46.7) | 269 (43.6) | 287 (47.0) | 325 (46.0) | |
| Age, years, median (IQR) | 57 (46–65) | 54 (42–62) | 56 (42–63) | 56 (45–64) | 58 (48–64) | 58 (47–65) | 59 (49–66) | 59 (49–66) | <0.001 |
| Age group, years§, n (%) | <0.001† | ||||||||
| 0–14 | 209 (4.6) | 50 (9.0) | 39 (5.8) | 35 (4.8) | 21 (3.5) | 24 (3.9) | 16 (2.6) | 24 (3.4) | |
| 15–59 | 2,402 (53.4) | 327 (58.6) | 376 (55.9) | 412 (56.4) | 329 (54.3) | 315 (51.0) | 301 (49.3) | 342 (48.4) | |
| ≥60 | 1,890 (42.0) | 181 (32.4) | 258 (38.3) | 284 (38.8) | 256 (42.2) | 278 (45.1) | 293 (48.0) | 340 (48.2) | |
| Residence, n (%) | <0.001† | ||||||||
| Urban | 1,232 (27.4) | 221 (39.6) | 233 (34.6) | 197 (26.9) | 163 (26.9) | 148 (24.0) | 129 (21.1) | 141 (20.0) | |
| Rural | 3,269 (72.6) | 337 (60.4) | 440 (65.4) | 534 (73.1) | 443 (73.1) | 469 (76.0) | 481 (78.9) | 565 (80.0) | |
| Occupation§, n (%) | <0.001† | ||||||||
| Farmers | 1,093 (24.3) | 151 (27.1) | 149 (22.1) | 150 (20.5) | 123 (20.3) | 165 (26.7) | 170 (27.9) | 185 (26.2) | |
| Retirees | 1,242 (27.6) | 134 (24.0) | 191 (28.4) | 216 (29.5) | 183 (30.2) | 172 (27.9) | 155 (25.4) | 191 (27.1) | |
| Children and students | 240 (5.3) | 52 (9.3) | 47 (7.0) | 42 (5.7) | 24 (4.0) | 31 (5.0) | 20 (3.3) | 24 (3.4) | |
| Others | 848 (18.8) | 107 (19.2) | 141 (21.0) | 136 (18.6) | 93 (15.3) | 114 (18.5) | 128 (21.0) | 129 (18.3) | |
| Unknown | 1,078 (24.0) | 114 (20.4) | 145 (21.5) | 187 (25.6) | 183 (30.2) | 135 (21.9) | 137 (22.5) | 177 (25.1) | |
| Time from symptom onset to hospital admission, days, median (IQR) | 7 (5–9) | 7 (5–10) | 7 (5–10) | 7 (5–9) | 7 (5–9) | 7 (4–9) | 7 (4–9) | 6 (4–9) | <0.001 |
| Length of hospital stay, days, median (IQR) | 7 (6–10) | 8 (5–10) | 8 (6–10) | 8 (6–10) | 7 (5–10) | 7 (6–10) | 7 (5–10) | 7 (6–9) | 0.092 |
| Severe cases, n (%) | 366 (8.1) | 46 (8.2) | 51 (7.6) | 70 (9.6) | 47 (7.8) | 50 (8.1) | 39 (6.4) | 63 (8.9) | 0.481† |
| Death cases, n (%) | 53 (1.2) | 8 (1.4) | 4 (0.6) | 18 (2.5) | 6 (1.0) | 5 (0.8) | 3 (0.5) | 9 (1.3) | 0.013† |
Figure 2Case number and disease severity rate of patients with scrub typhus by time and age in Guangzhou, China, 2012–2018. (A) Number of scrub typhus patients and annual disease severity rate (DSR) by month and year of symptom onset. (B) Number of scrub typhus patients and DSR of patients by age groups. P-value indicated association between age groups and severe disease by univariate logistic regression analysis, with 15–29 years group used as reference.