| Literature DB >> 28338084 |
Weiming Tang1,2,3,4, Shujie Huang1,2,3, Lei Chen1,2,3, Ligang Yang1,2,3, Joseph D Tucker4, Heping Zheng1,2,3, Bin Yang1,2,3.
Abstract
Due to challenges in diagnosis and the need for complex laboratory tests, misdiagnosis of neurosyphilis and tertiary syphilis is common in China. We validated the diagnosis and examined the treatment of late neurosyphilis and tertiary syphilis in Guangdong Province, China. A cross-sectional study was conducted to collect data from late neurosyphilis and tertiary syphilis cases reported between 2009 and 2014 in Guangdong, China. Descriptive analysis, bivariate analyses and multiple logistic regressions were performed to determine the structural factors associated with correct diagnosis and standard treatment of late neurosyphilis and tertiary syphilis. Among the 3805 respondents (3805/3936, 96.7%), 1,837 (48.3%) met the misdiagnosed criteria. The misdiagnosis rate decreased over the study period (54.2% in 2009 and 41.8% in 2014). Only 27.1% and 24.9% of the correctly diagnosed late neurosyphilis and tertiary syphilis cases received standard treatment, respectively. Multiple logistic regression revealed that departments of dermatology or STDs [aOR = 3.24, 95% CI: 2.66-3.95], county or township level hospitals [aOR = 2.89, 95% CI: 2.14-3.89], and hospitals situated outside of Pearl River Delta area [aOR = 1.70, 95% CI: 1.46-1.97] had higher likelihood in misdiagnosis of neurosyphilis, compared to the reference groups. Targeted trainings for physicians and expanded syphilis screening services are urgently needed.Entities:
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Year: 2017 PMID: 28338084 PMCID: PMC5364404 DOI: 10.1038/srep45339
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic and Hospital Information for reported Tertiary cases in Guangdong, China, 2009–2014 (N = 3805).
| Correct diagnosed (n = 1968) | Misdiagnosed (n = 1837) | Overall (N = 3805) | |||||
|---|---|---|---|---|---|---|---|
| Variables | Number | Percent (95% CI) | Number | Percent (95% CI) | Number | Percent | |
| Age | 30 or less | 91 | 4.6 (3.7,5.6) | 248 | 13.5 (11.9,15.1) | 339 | 8.9 |
| 31–40 | 216 | 10.8 (9.6,12.4) | 270 | 14.7 (13.1,16.3) | 486 | 12.8 | |
| 41–50 | 519 | 26.4 (24.4,28.3) | 298 | 16.2 (14.5,17.9) | 817 | 21.5 | |
| 51–60 | 579 | 29.4 (27.4,31.4) | 349 | 19.0 (17.2,20.8) | 928 | 24.4 | |
| 61–70 | 345 | 17.5 (15.8,19.2) | 310 | 16.9 (15.2,18.6) | 655 | 17.2 | |
| Above 70 | 218 | 11.1 (9.7,12.5) | 362 | 19.7 (17.9,21.5) | 580 | 15.2 | |
| Marital Status | Married | 1784 | 90.6 (89.4,91.9) | 1653 | 90.0 (88.6,91.4) | 3437 | 90.3 |
| Unmarried | 109 | 5.5 (4.5,6.6) | 129 | 7.0 (5.8,8.2) | 238 | 6.2 | |
| Divorced or Widowed | 75 | 3.8 (3.0,4.6) | 55 | 3.0 (2.2,3.8) | 130 | 3.4 | |
| Occupation | Farmer | 474 | 24.1 (22.2,26.0) | 507 | 27.6 (25.6,29.6) | 981 | 25.8 |
| Merchant | 138 | 7.0 (5.9,8.1) | 121 | 6.6 (5.4,7.7) | 259 | 6.8 | |
| Retired | 292 | 14.8 (13.3,16.4) | 225 | 12.2 (10.74,13.7) | 517 | 13.6 | |
| Stay at home | 422 | 21.4 (19.6,23.2) | 335 | 18.2 (16.5,20.0) | 757 | 19.9 | |
| Unknown | 275 | 14.0 (12.4,15.5) | 339 | 18.4 (16.7,20.2) | 614 | 16.1 | |
| Others | 367 | 18.6 (16.9,20.4) | 310 | 16.9 (15.2,18.6) | 677 | 17.8 | |
| Department of diagnosis | Psychiatry | 1171 | 59.5 (57.3,61.7) | 451 | 24.6 (22.6,26.5) | 1622 | 42.6 |
| Dermatology or STDs | 281 | 14.3 (12.7,15.8) | 339 | 18.4 (16.7,20.2) | 620 | 16.3 | |
| Cardiovascular, orthopedics or eye | 89 | 4.5 (3.6,5.4) | 185 | 10.1 (8.7,11.4) | 274 | 7.2 | |
| Others | 427 | 21.7 (19.9,23.5) | 862 | 46.944.6,49.2) | 1289 | 33.9 | |
| Hospital level | Provincial | 147 | 7.6 (6.4,8.7) | 104 | 5.8 (4.8,6.9) | 251 | 6.7 |
| City | 1513 | 77.8 (76.0,79.7) | 1086 | 61.1 (58.9,63.4) | 2599 | 69.9 | |
| County or township | 284 | 14.6 (13.0,16.2) | 586 | 33.0 (30.8,35.2) | 870 | 23.4 | |
| Year | 2009–2010 | 559 | 28.4 (26.4, 30.4) | 624 | 34.0 (31.8,36.1) | 1183 | 31.1 |
| 2011–2012 | 679 | 34.5 (32.4, 36.6) | 656 | 35.7 (33.5,37.9) | 1335 | 35.1 | |
| 2013–2014 | 730 | 37.1 (35.0,39.2) | 557 | 30.3 (28.2, 32.4) | 1287 | 33.8 | |
| Region | Pearl River Delta area | 458 | 23.3 (21.4, 25.1) | 642 | 34.9 (32.8, 37.1) | 1100 | 28.9 |
| Others | 1510 | 76.7 (74.8, 78.6) | 1195 | 65.1 (62.9, 67.2) | 2705 | 71.1 | |
Figure 1Trend of misdiagnosis of tertiary syphilis in Guangdong, China, 2009–2014.
Sub-types of correctly diagnosed tertiary syphilis in Guangdong, China, 2009–2014 (n = 1968).
| Disease type | Number of cases | Percent (%) |
|---|---|---|
| Neurosyphilis (Overall) | 1615 | 82.1 |
| 179 | 11.1 | |
| 53 | 3.3 | |
| 186 | 11.5 | |
| 1105 | 68.4 | |
| 115 | 7.1 | |
| 73 | 4.5 | |
| Damage of skin mucous membrane | 120 | 6.1 |
| Osseous syphilis | 51 | 2.6 |
| Ocular syphilis | 41 | 2.1 |
| Cardiovascular syphilis | 145 | 7.4 |
| Other | 40 | 2 |
Note: *Subtypes of neurosyphilis, and the denominator is 1615.
#For the cases of cardiovascular syphilis and tabes, the patients need to have the clinical manifestations involving the cardiovascular and CNS.
Figure 2Trend of population level diagnosis rate of neurosyphilis and all tertiary syphilis in Guangdong, Chia, 2009–2014.
Correlates of Misdiagnosis among reported tertiary cases in Guangdong in 2009–2014, China (N = 3,805).
| Crude Model | Adjusted Model* | ||||||
|---|---|---|---|---|---|---|---|
| Variables | Crude OR | 95% CLs | Adjusted OR | 95% CLs | |||
| Department of diagnosis | |||||||
| 3.13 | 2.59 | 3.80 | 3.24 | 2.66 | 3.95 | ||
| 5.40 | 4.10 | 7.11 | 5.51 | 4.16 | 7.28 | ||
| 5.24 | 4.47 | 6.14 | 5.36 | 4.56 | 6.29 | ||
| Hospital level | — | — | |||||
| 1.02 | 0.78 | 1.32 | 1.00 | 0.77 | 1.31 | ||
| 2.92 | 2.19 | 3.89 | 2.89 | 2.14 | 3.89 | ||
| Year | 1.46 | 1.25 | 1.72 | 1.44 | 1.22 | 1.69 | |
| 1.27 | 1.09 | 1.48 | 1.28 | 1.09 | 1.49 | ||
| — | — | ||||||
| Region | 1.77 | 1.54 | 2.04 | 1.70 | 1.46 | 1.97 | |
| — | — | ||||||
Note: *adjusted for age (continuous), marital status (married/never married/divorced or widowed) and occupation (Farmer/ Merchant/ Retired/ Home stay/ Unknown/Others).
Correlates of standard treatment among correctly diagnosed neurosyphilis and tertiary syphilis cases in Guangdong in 2009–2014, China (n = 1968).
| Late Neurosyphilis | All tertiary syphilis | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Crude Model | Adjusted Model* | Crude Model | Adjusted Model* | ||||||||||
| cOR | 95% CLs | aOR | 95% CLs | cOR | 95% CLs | aOR | 95% CLs | ||||||
| Department of diagnosis | Ref | Ref | Ref | Ref | |||||||||
| 2.33 | 1.68 | 3.24 | 2.23 | 1.59 | 3.13 | 2.81 | 2.14 | 3.69 | 2.62 | 1.98 | 3.46 | ||
| 1.23 | 0.48 | 3.16 | 1.32 | 0.51 | 3.43 | 1.10 | 0.66 | 1.83 | 1.28 | 0.76 | 2.15 | ||
| 2.13 | 1.62 | 2.81 | 2.01 | 1.52 | 2.66 | 1.66 | 1.30 | 2.13 | 1.64 | 1.27 | 2.10 | ||
| Hospital level | — | — | — | — | |||||||||
| 3.49 | 1.66 | 7.35 | 3.68 | 1.74 | 7.80 | 1.49 | 0.99 | 2.24 | 1.65 | 1.08 | 2.50 | ||
| 1.46 | 0.64 | 3.35 | 1.62 | 0.70 | 3.77 | 0.94 | 0.58 | 1.53 | 1.10 | 0.67 | 1.82 | ||
| Year | 0.87 | 0.67 | 1.14 | 0.86 | 0.66 | 1.14 | 0.88 | 0.69 | 1.12 | 0.84 | 0.65 | 1.07 | |
| 0.69 | 0.53 | 0.90 | 0.71 | 0.54 | 0.92 | 0.71 | 0.56 | 0.90 | 0.78 | 0.56 | 0.90 | ||
| — | — | — | — | ||||||||||
| Region | 0.66 | 0.50 | 0.87 | 0.76 | 0.57 | 1.02 | 0.74 | 0.58 | 0.94 | 0.77 | 0.60 | 0.99 | |
| — | — | ||||||||||||
Note: *adjusted for age (continuous), marital status (married/never married/divorced or widowed) and occupation (Farmer/ Merchant/ Retired/ Home stay/ Unknown/Others).