Epidemiological characteristics of pulmonary tuberculosis in Taicang City from 2017 to 2022

doi:10.19983/j.issn.2096-8493.20230125

Abstract

Abstract:

Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis (PTB) in Taicang City from 2017 to 2022, and to provide direction and basis for PTB prevention and control. Methods: Medical records of 1444 PTB patients registered in the “Tuberculosis Management Information System”, a subsystem of the “China Disease Prevention and Control Information System” in Taicang City from 2017 to 2022 were extracted, and then the morbidity characteristics of those patients were described, and the distribution characteristics about time, area, people were analyzed. Results: A total of 1444 patients with active PTB were registered in Taicang City from 2017 to 2022, among which 676 were etiologically positive, accounting for 46.81%, with an average registration rate of 30.92/100000 (1444/4669900), changed from 34.79/100000 (249/715800) in 2017 to 22.88/100000 (193/843600) in 2022, showing a downward trend ( $χ t r e n d 2$ =35.942, P=0.001). The average registration rate in 2020—2022 was 26.10/100000 (656/2513700), lower than that in 2017—2019 (36.55/100000, 788/2156200), and the difference was statistically significant (χ²=13.662, P=0.001). The top three towns in terms of the number of patients were Chengxiang Town (332 cases, 22.99%), High-tech Zone (303 cases, 20.98%) and Fuqiao Town (225 cases, 15.58%), and the lowest was Huangjing Town (125 cases, 8.66%). The number of male patients (1023 cases, 70.84%) was higher than that of female patients (421 cases, 29.16%). The peak age of disease onset was concentrated between 25—34 years old (350 cases, 24.24%). The occupation with the highest number of cases was farmers (534 cases, 36.98%). Conclusion: The tuberculosis registration rate in Taicang City showed a downward trend from 2017 to 2022. In the future work, attention should be paid to key towns and key groups to strengthen publicity and education, improve the diagnosis level, and improve the management and treatment system.

Key words: Tuberculosis, pulmonary, Epidemiologic study characteristics as topic, Taicang City

CLC Number:

R521

Zhang Taifa, Zhou Hua. Epidemiological characteristics of pulmonary tuberculosis in Taicang City from 2017 to 2022[J]. Journal of Tuberculosis and Lung Disease , 2024, 5(1): 64-69. doi: 10.19983/j.issn.2096-8493.20230125

Figures/Tables 7

References 13

[1]	李佳, 羊晶晶, 黄玲. 2015—2020年福州市流动人口肺结核患者流行病学特征分析. 应用预防医学, 2023, 29(2): 105-107, 110.
[2]	丁守华, 缪巧玉, 刘家松, 等. 2011—2020年淮安市肺结核流行病学特征分析. 江苏预防医学, 2023, 34(2): 175-176. doi:10.13668/j.issn.1006-9070.2023.02.016.
[3]	杨超, 王晶, 谢珂, 等. 2012—2021年北京市通州区病原学阳性肺结核流行特征及治疗转归分析. 结核与肺部疾病杂志, 2023, 4(2): 128-134. doi:10.19983/j.issn.20968493.20230031.
[4]	孙东, 张怀, 郑小玲, 等. 玉屏风制剂在新型冠状病毒肺炎防治中的价值. 中国中医药现代远程教育, 2023, 21(17): 204-206. doi:10.3969/j.isSn.1672-2779.2023.17.070.
[5]	张云侠. 基于思维导图的新冠肺炎及肺结核知识宣教在结核科患者中的应用效果评估//中国防痨协会. 中国防痨协会第34届全国学术大会论文汇编, 厦门, 2023. 北京: 中国防痨协会, 2023.
[6]	徐静, 贺晓新, 郑海伦, 等. 2020年新型冠状病毒肺炎疫情下北京市肺结核病例发现情况分析. 首都公共卫生, 2021, 15(5): 265-268.
[7]	王斐娴, 崔彩岩, 蒋骏, 等. 基于Joinpoint回归模型的2011—2022年苏州市肺结核流行趋势分析. 东南大学学报(医学版), 2023, 42(4): 566-571. doi:10.3969/j.issn.1671-6264.2023.04.012.
[8]	徐昊, 凌红, 杨怀霞, 等. 上海市黄浦区2013—2020年肺结核流行特征分析. 健康教育与健康促进, 2022, 17(4): 401-404. doi:10.16117/j.cnki.31-1974/r.202204401.
[9]	张玉华. 2011—2020年天津市中心城区肺结核患者流行病学特征分析. 结核与肺部疾病杂志, 2023, 4(4): 323-327. doi:10.19983/j.issn2096-8493.20230069.
[10]	杨莹, 左雅静, 陈海峰, 等. 沧州市2011—2020年肺结核流行病学特征分析. 医学动物防制, 2022, 38(8): 723-726. doi:10.7629/yxdwfz202208003.
[11]	夏军, 费珊珊, 张思危. 上饶地区初治肺结核患者治愈后5年内复发率及其危险因素. 中国卫生工程学, 2023, 22(4): 508-510, 513. doi:10.19937/j.issn.1671-4199.2023.04.024.
[12]	丰银平, 郭净, 刘忠达. 初治肺结核合并空洞患者伴发营养风险的危险因素分析. 中国现代医生, 2023, 61(22): 57-60. doi:10.3969/j.issn.1673-9701.2023.22.014.
[13]	饶小玲. 肺结核病流行病学特征及其控制对策研究. 医学信息, 2023, 36(9): 63-66. doi:10.3969/j.issn.1006-1959.2023.09.011.

年份	常住人口 (万人)	病原学阳性		病原学阴性		无病原学结果		合计 (例)	登记率 (/10万)
年份	常住人口 (万人)	例数	构成比(%)	例数	构成比(%)	例数	构成比(%)	合计 (例)	登记率 (/10万)
2017	71.58	97	38.96	152	61.04	0	0.00	249	34.79
2018	71.92	133	48.54	140	51.09	1	0.37	274	38.10
2019	72.12	116	43.77	148	55.85	1	0.38	265	36.74
2020	83.11	111	48.68	110	48.25	7	3.07	228	27.43
2021	83.90	113	48.09	104	44.26	18	7.65	235	28.01
2022	84.36	106	54.92	82	42.49	5	2.59	193	22.88
合计	466.99	676	46.81	736	50.97	32	2.22	1444	30.92

乡镇	2017—2019年		2020—2022年		合计
乡镇	例数	构成比(%)	例数	构成比(%)	例数	构成比(%)
城厢镇	185	23.51	147	22.37	332	22.99
浮桥镇	129	16.39	96	14.61	225	15.58
高新区	150	19.06	153	23.29	303	20.98
璜泾镇	69	8.77	56	8.52	125	8.66
浏河镇	74	9.40	65	9.89	139	9.63
双凤镇	101	12.83	91	13.85	192	13.30
沙溪镇	79	10.04	49	7.46	128	8.86
合计	787	100.00	657	100.00	1444	100.00

患者来源	2017—2019年		2020—2022年		合计
患者来源	例数	构成比(%)	例数	构成比(%)	例数	构成比(%)
本地	296	37.61	300	45.66	596	41.27
省间流动	424	53.88	319	48.55	743	51.45
省内流动	58	7.37	35	5.33	93	6.45
市内流动	7	0.89	3	0.46	10	0.69
外籍	2	0.25	0	0.00	2	0.14
合计	787	100.00	657	100.00	1444	100.00

年份	例数	男性		女性
年份	例数	例数	构成比(%)	例数	构成比(%)
2017	249	190	76.31	59	23.69
2018	274	202	73.72	72	26.28
2019	265	182	68.68	83	31.32
2020	228	156	68.42	72	31.58
2021	235	160	68.09	75	31.91
2022	193	133	68.91	60	31.09
合计	1444	1023	70.84	421	29.16

年龄组 (岁)	男性		女性		合计
年龄组 (岁)	例数	构成比(%)	例数	构成比(%)	例数	构成比(%)
0~14	0	0.00	1	0.24	1	0.07
15~24	59	5.77	26	6.18	85	5.89
25~34	243	23.75	107	25.42	350	24.24
35~44	143	13.98	74	17.58	217	15.03
45~54	164	16.03	74	17.58	238	16.48
55~64	134	13.10	41	9.74	175	12.12
65~74	138	13.49	46	10.92	184	12.74
75~84	103	10.07	44	10.44	147	10.18
≥85	39	3.81	8	1.90	47	3.25
合计	1023	100.00	421	100.00	1444	100.00