Article(id=1240375108343222427, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240375105386238038, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202312256, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1702569600000, receivedDateStr=2023-12-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773658070884, onlineDateStr=2026-03-16, pubDate=1711296000000, pubDateStr=2024-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773658070884, onlineIssueDateStr=2026-03-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773658070884, creator=13701087609, updateTime=1773658070884, updator=13701087609, issue=Issue{id=1240375105386238038, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='6', pageStart='961', pageEnd='1152', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773658070179, creator=13701087609, updateTime=1773658539618, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240377074414833974, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240375105386238038, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240377074414833975, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240375105386238038, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1129, endPage=1134, ext={EN=ArticleExt(id=1240375108569714859, articleId=1240375108343222427, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Treatment outcomes and influencing factors in pulmonary tuberculosis patients in Guizhou, 2017-2022, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective

To analyze the treatment outcomes and influencing factors among pulmonary tuberculosis patients in Guizhou Province from 2017 to 2022, and to improve a basis for enhancing tuberculosis prevention and control strategies.

Methods

Individual cases of pulmonary tuberculosis patients in Guizhou Province from 2017 to 2022 were obtained from The Tuberculosis Information Management System. The distribution characteristics of treatment success were described using percentages (%), and the Chi-square test and binary logistic regression model were utilized to analyze the factors influencing treatment outcomes.

Results

During the period of 2017 to 2022, the annual average registration rate of pulmonary tuberculosis patients in Guizhou Province was 97.27/100 000 population, exhibiting a consistent downward trend (trend χ2=2 230.684, P<0.001). Meanwhile, the treatment success rate among the patients during the same time period was 92.89%, demonstrating a steady increase (trend χ2=51.800, P<0.001). Analysis results of influencing factors showed that compared with female, age group <20 years old, cadres and staff, physical examination, negative etiological results, initial treatment, no comorbidities, no other tuberculosis, and negative HIV test results, male (OR=0.736, 95% CI:0.709-0.765), ≥60 years old age group (OR=0.360, 95% CI:0.323-0.402), farmers (OR=0.591, 95% CI:0.468-0.747), medical treatment due to illness (OR=0.716, 95% CI: 0.599-0.855), retreatment (OR=0.570, 95% CI:0.540-0.602), complications (OR=0.789, 95% CI:0.752-0.827), other tuberculosis (OR=0.685, 95% CI:0.542-0.867) and positive HIV test results (OR=0.387, 95% CI:0.342-0.437) were risk factors for successful treatment(P<0.05).

Conclusion

Overall, the treatment outcomes of pulmonary tuberculosis patients in Guizhou Province are highly positive. However, it is essential to recognize that there are disparities in the distribution of treatment outcomes across various population groups. Hence, it is recommended to prioritize the treatment concerns of specific demographics, including male patients, the elderly population, individuals residing in Bijie city, patients with positive microbiological results, HIV=positive patients, individuals requiring retreatment, and those with comorbidities or concurrent tuberculosis. By focusing on these groups, targeted interventions and tailored approaches can be implemented to ensure that all individuals receive optimal treatment and care.

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目的

分析贵州省肺结核患者的治疗结局及影响因素,为完善肺结核防控策略提供依据。

方法

从结核病信息管理系统导出2017—2022年贵州省肺结核患者个案,用率(%)描述治疗成功的分布特征,采用χ2检验和二分类logistic回归模型分析其影响因素。

结果

2017—2022年贵州省肺结核患者年均登记率为97.27/10万,呈逐年下降趋势(趋势χ2=2 230.684,P<0.001)。同期患者治疗成功率为92.89%,呈上升趋势(趋势χ2=51.800,P<0.001)。男性、≥60岁年龄组、毕节市患者的治疗成功率较低。影响因素分析结果显示,与女性、<20岁年龄组、干部职员、健康体检、病原学结果阴性、初治、无合并症、无合并其他结核、HIV检测结果阴性相比,男性(OR=0.736,95% CI:0.709~0.765)、≥60岁年龄组(OR=0.360,95% CI:0.323~0.402)、农民(OR=0.591,95% CI:0.468~0.747)、因症就诊(OR=0.716,95% CI:0.599~0.855)、复治(OR=0.570,95% CI:0.540~0.602)、有合并症(OR=0.789,95% CI:0.752~0.827)、合并其他结核(OR=0.685,95% CI:0.542~0.867)、HIV检测结果阳性(OR=0.387,95% CI:0.342~0.437)是患者成功治疗的危险因素(P均<0.05)。

结论

贵州省肺结核患者治疗情况总体较好,需进一步关注男性、老年人、毕节市、病原学阳性、HIV阳性、复治、合并症及合并其他结核等患者的治疗问题。

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李进岚,E-mail:
, copyrightStatement=本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=G9ymFIVodbQSiMaqHVh0sg==, magXml=UvLoZ+q96PECAXJhj5o/Qg==, pdfUrl=null, pdf=h8M8q3pRtGJSs6Pwo7yJPQ==, pdfFileSize=582890, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=/4Z28U2oJEPhWRPFrkEeMg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=RlWFzTOU2v/ySWIEL7wpiw==, mapNumber=null, authorCompany=null, fund=null, authors=

马晓雪(1996—),女,硕士,医师,研究方向:疾病预防与控制

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马晓雪(1996—),女,硕士,医师,研究方向:疾病预防与控制

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马晓雪(1996—),女,硕士,医师,研究方向:疾病预防与控制

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Analysis of risk factors for mortality during short-term supervised treatment of pulmonary tuberculosis in Tianjin and establishment of a predictive model[C]//Chinese Medical Association, The Tuberculosis Society of the Chinese Medical Association.2020 National tuberculosis Academic Conference.Beijing, China, 2020: 6., articleTitle=Analysis of risk factors for mortality during short-term supervised treatment of pulmonary tuberculosis in Tianjin and establishment of a predictive model, refAbstract=null)], funds=[Fund(id=1240746307514594137, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, awardId=2020-181-131, language=CN, fundingSource=贵州省发改委省级基本建设前期工作项目(2020-181-131), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1240746301667733832, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, xref=1., ext=[AuthorCompanyExt(id=1240746301671928138, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, companyId=1240746301667733832, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Institute of Tuberculosis Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou 550004, China), AuthorCompanyExt(id=1240746301680316746, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, companyId=1240746301667733832, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.贵州省疾病预防控制中心结防所,贵州 贵阳 550004)]), AuthorCompany(id=1240746301768397134, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, xref=2., ext=[AuthorCompanyExt(id=1240746301776785743, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, companyId=1240746301768397134, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.贵州医科大学公共卫生与健康学院)])], figs=[ArticleFig(id=1240746305551659701, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Fig.1, caption=Successful treatment rate of tuberculosis patients of different genders in Guizhou Province from 2017 to 2022, figureFileSmall=1yc0dTh6hzqnV2Vbsymbrg==, figureFileBig=F2eic4/MzTkrKN70bN/Oyw==, tableContent=null), ArticleFig(id=1240746305702654654, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=图1, caption=2017—2022年贵州省肺结核不同性别患者成功治疗率, figureFileSmall=1yc0dTh6hzqnV2Vbsymbrg==, figureFileBig=F2eic4/MzTkrKN70bN/Oyw==, tableContent=null), ArticleFig(id=1240746305811706574, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Fig.2, caption=Successful treatment rate of pulmonary tuberculosis patients of different ages in Guizhou Province from 2017 to 2022, figureFileSmall=+v7z5WgflfNEJU3h3EPhhw==, figureFileBig=Vf21TGXRxD+PHkGq1o8B5A==, tableContent=null), ArticleFig(id=1240746305941730008, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=图2, caption=2017—2022年贵州省不同年龄肺结核患者成功治疗率, figureFileSmall=+v7z5WgflfNEJU3h3EPhhw==, figureFileBig=Vf21TGXRxD+PHkGq1o8B5A==, tableContent=null), ArticleFig(id=1240746306084336355, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 1, caption=

Registration of tuberculosis patients in Guizhou Province from 2017 to 2022

, figureFileSmall=null, figureFileBig=null, tableContent=
年份常住人口数(万)a患者登记数登记率(/10万)病原学阳性数病原学阳性率(%)
20173 803.0040 298105.9611 90229.53
20183 822.0042 194110.4015 02135.60
20193 848.0039 630102.9917 93145.25
20203 858.0037 04296.0120 21754.58
20213 852.0033 42986.7819 49158.31
20223 856.0031 49781.6819 57962.16
合计23 039.00224 09097.27104 14146.47
), ArticleFig(id=1240746306197582574, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表1, caption=

2017—2022年贵州省肺结核患者登记情况

, figureFileSmall=null, figureFileBig=null, tableContent=
年份常住人口数(万)a患者登记数登记率(/10万)病原学阳性数病原学阳性率(%)
20173 803.0040 298105.9611 90229.53
20183 822.0042 194110.4015 02135.60
20193 848.0039 630102.9917 93145.25
20203 858.0037 04296.0120 21754.58
20213 852.0033 42986.7819 49158.31
20223 856.0031 49781.6819 57962.16
合计23 039.00224 09097.27104 14146.47
), ArticleFig(id=1240746306294051578, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 2, caption=

Treatment outcomes of pulmonary tuberculosis patients in Guizhou Province from 2017 to 2022[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
年份成功治疗不良结局
治愈完成疗程小计结核死亡非结核死亡失败失访其他小计
20179 560(24.21)26 593(67.35)36 153(91.56)104(0.26)929(2.35)550(1.39)1 041(2.64)708(1.79)3 332(8.44)
201811 884(29.09)26 094(63.87)37 978(92.96)69(0.17)1 035(2.53)616(1.51)742(1.82)414(1.01)2 876(7.04)
201914 786(39.39)20 135(53.64)34 921(93.03)33(0.09)945(2.52)651(1.73)535(1.43)453(1.21)2 617(6.97)
202016 945(47.57)16 470(46.24)33 415(93.81)43(0.12)1 006(2.82)485(1.36)423(1.19)246(0.69)2 203(6.19)
202116 651(51.41)13 712(42.34)30 363(93.75)31(0.10)945(2.92)329(1.02)453(1.40)267(0.82)2 025(6.25)
202215 067(53.82)10 778(38.50)25 845(92.32)18(0.06)1 092(3.90)261(0.93)457(1.63)321(1.15)2 149(7.68)
合计84 893(39.69)113 782(53.20)198 675(92.89)298(0.14)5 952(2.78)2 892(1.35)3 651(1.71)2 409(1.13)15 202(7.11)
), ArticleFig(id=1240746306373743358, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表2, caption=

2017—2022年贵州省肺结核患者治疗转归情况[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
年份成功治疗不良结局
治愈完成疗程小计结核死亡非结核死亡失败失访其他小计
20179 560(24.21)26 593(67.35)36 153(91.56)104(0.26)929(2.35)550(1.39)1 041(2.64)708(1.79)3 332(8.44)
201811 884(29.09)26 094(63.87)37 978(92.96)69(0.17)1 035(2.53)616(1.51)742(1.82)414(1.01)2 876(7.04)
201914 786(39.39)20 135(53.64)34 921(93.03)33(0.09)945(2.52)651(1.73)535(1.43)453(1.21)2 617(6.97)
202016 945(47.57)16 470(46.24)33 415(93.81)43(0.12)1 006(2.82)485(1.36)423(1.19)246(0.69)2 203(6.19)
202116 651(51.41)13 712(42.34)30 363(93.75)31(0.10)945(2.92)329(1.02)453(1.40)267(0.82)2 025(6.25)
202215 067(53.82)10 778(38.50)25 845(92.32)18(0.06)1 092(3.90)261(0.93)457(1.63)321(1.15)2 149(7.68)
合计84 893(39.69)113 782(53.20)198 675(92.89)298(0.14)5 952(2.78)2 892(1.35)3 651(1.71)2 409(1.13)15 202(7.11)
), ArticleFig(id=1240746306466018055, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 3, caption=

Successful treatment of tuberculosis patients of different genders and ages in Guizhou Province from 2017 to 2022 [rate (%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
年份成功治疗成功治疗
<20岁
201791.07(23 771/26 102)92.52(12 382/13 383)95.82(4 973/5 190)
201892.10(24 568/26 676)94.58(13 410/14 178)97.52(5 387/5 524)
201992.35(22 423/24 281)94.27(12 498/13 257)97.99(4 640/4 735)
202092.88(21 200/22 826)95.49(12 215/12 792)98.42(4 606/4 735)
202192.74(19 160/20 659)95.52(11 203/11 729)98.58(3 408/3 457)
202291.43(16 264/17 789)93.89(9 581/10 205)98.45(2 547/2 587)
合计92.09(127 386/138 333)94.37(71 289/75 544)96.9(25 362/26 173)
年份成功治疗
20~39岁40~59岁≥60岁
201794.10(10 917/11 601)91.45(10 855/11 870)86.92(9 408/10 824)
201896.24(11 552/12 003)92.48(11 302/12 221)87.67(9 737/11 106)
201995.96(10 948/11 409)92.63(10 446/11 277)87.84(8 887/10 117)
202097.07(10 946/11 276)93.53(9 780/10 456)87.80(8 083/9 206)
202197.27(9 132/9 388)93.67(9 753/10 412)88.38(8 070/9 131)
202296.89(7 265/7 498)92.55(8 575/9 265)86.28(7 458/8 644)
合计96.18(60 760/63 175)92.69(60 711/65 501)87.49(51 643/59 028)
), ArticleFig(id=1240746306575069970, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表3, caption=

2017—2022年贵州省不同性别年龄肺结核患者成功治疗情况[率(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
年份成功治疗成功治疗
<20岁
201791.07(23 771/26 102)92.52(12 382/13 383)95.82(4 973/5 190)
201892.10(24 568/26 676)94.58(13 410/14 178)97.52(5 387/5 524)
201992.35(22 423/24 281)94.27(12 498/13 257)97.99(4 640/4 735)
202092.88(21 200/22 826)95.49(12 215/12 792)98.42(4 606/4 735)
202192.74(19 160/20 659)95.52(11 203/11 729)98.58(3 408/3 457)
202291.43(16 264/17 789)93.89(9 581/10 205)98.45(2 547/2 587)
合计92.09(127 386/138 333)94.37(71 289/75 544)96.9(25 362/26 173)
年份成功治疗
20~39岁40~59岁≥60岁
201794.10(10 917/11 601)91.45(10 855/11 870)86.92(9 408/10 824)
201896.24(11 552/12 003)92.48(11 302/12 221)87.67(9 737/11 106)
201995.96(10 948/11 409)92.63(10 446/11 277)87.84(8 887/10 117)
202097.07(10 946/11 276)93.53(9 780/10 456)87.80(8 083/9 206)
202197.27(9 132/9 388)93.67(9 753/10 412)88.38(8 070/9 131)
202296.89(7 265/7 498)92.55(8 575/9 265)86.28(7 458/8 644)
合计96.18(60 760/63 175)92.69(60 711/65 501)87.49(51 643/59 028)
), ArticleFig(id=1240746306688316186, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 4, caption=

Successful treatment rate of tuberculosis patients in different regions of Guizhou Province from 2017

, figureFileSmall=null, figureFileBig=null, tableContent=
年份贵阳市六盘水市遵义市安顺市毕节市铜仁市黔西南州黔东南州黔南布州
201793.7194.7591.5893.8285.9093.5694.8893.0090.40
201894.2193.5093.0793.2492.4293.4695.3192.7089.95
201994.1694.5892.8593.2691.3994.6794.3493.4091.80
202095.0093.9793.3591.1894.2394.6694.2894.5892.27
202194.4894.3394.2492.9292.7193.9394.5594.6392.94
202291.0494.3691.6092.6890.0295.1294.6394.1891.67
合计93.8394.2492.7792.9391.1894.1694.6993.6891.45
), ArticleFig(id=1240746306788979490, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表4, caption=

2017—2022年贵州省不同地区肺结核患者成功治疗率(%)

, figureFileSmall=null, figureFileBig=null, tableContent=
年份贵阳市六盘水市遵义市安顺市毕节市铜仁市黔西南州黔东南州黔南布州
201793.7194.7591.5893.8285.9093.5694.8893.0090.40
201894.2193.5093.0793.2492.4293.4695.3192.7089.95
201994.1694.5892.8593.2691.3994.6794.3493.4091.80
202095.0093.9793.3591.1894.2394.6694.2894.5892.27
202194.4894.3394.2492.9292.7193.9394.5594.6392.94
202291.0494.3691.6092.6890.0295.1294.6394.1891.67
合计93.8394.2492.7792.9391.1894.1694.6993.6891.45
), ArticleFig(id=1240746306910614319, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 5, caption=

Assignment of variables in multi-factor analysis

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
自变量
性别1=女性;2=男性
年龄(岁)1=<20;2=20~39;3=40~59;4=≥60
民族1=汉族;2=非汉族
职业1=干部职工;2=农民;3=学生;4=教师;5=医务人员;6=离退休人员;7=其他
患者来源1=健康体检;2=主动筛查;3=因症就诊;4=其他
病原学结果1=阴性;2=阳性;3=无
治疗分类1=初治;2=复治
合并症1=无;2=有
合并其他结核1=无;2=有
HIV检测结果1=阴性;2=阳性;3=无
因变量
治疗结果0=不良结局;1=成功治疗
), ArticleFig(id=1240746307023860535, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表5, caption=

多因素分析中各变量的赋值

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
自变量
性别1=女性;2=男性
年龄(岁)1=<20;2=20~39;3=40~59;4=≥60
民族1=汉族;2=非汉族
职业1=干部职工;2=农民;3=学生;4=教师;5=医务人员;6=离退休人员;7=其他
患者来源1=健康体检;2=主动筛查;3=因症就诊;4=其他
病原学结果1=阴性;2=阳性;3=无
治疗分类1=初治;2=复治
合并症1=无;2=有
合并其他结核1=无;2=有
HIV检测结果1=阴性;2=阳性;3=无
因变量
治疗结果0=不良结局;1=成功治疗
), ArticleFig(id=1240746307128718143, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=EN, label=Table 6, caption=

Analysis of factors influencing treatment outcomes of tuberculosis patients in Guizhou Province from 2017 to 2022

, figureFileSmall=null, figureFileBig=null, tableContent=
变量治疗成功
(例)
不良结局
(例)
成功治疗率(%)χ2检验多因素logistic回归
χ2POR(95% CI)值P
性别385.043<0.001
71 2894 25594.371
127 38610 94792.090.736(0.709~0.765)<0.001
年龄(岁)4 548.533<0.001
<2025 56161297.671
20~3960 7602 41596.181.066(0.955~1.189)0.255
40~5960 7114 79092.690.659(0.591~0.736)<0.001
≥6051 6437 38587.490.360(0.323~0.402)<0.001
民族29.601<0.001
汉族126 75410 03392.671
非汉族71 9215 16993.291.052(1.014~1.090)<0.001
职业1 905.958<0.001
干部职员2 0077596.401
农民143 18212 95991.700.591(0.468~0.747)<0.001
学生23 32139998.321.370(1.050~1.788)0.020
教师1 6683797.831.461(0.978~2.181)0.064
医务人员1 8826796.560.991(0.706~1.390)0.959
离退休人员2 78843086.640.568(0.440~0.734)<0.001
其他23 8271 23595.070.798(0.628~1.014)0.065
患者来源273.159<0.001
健康体检6 26013397.921
主动筛查6222096.891.016(0.625~1.653)0.948
因症就诊189 57314 90292.710.716(0.599~0.855)<0.001
其他2 22014793.790.733(0.573~0.936)0.013
病原学结果1 606.529<0.001
阴性107 5175 67494.991
阳性90 1379 44890.510.634(0.612~0.657)<0.001
1 0218092.731.081(0.854~1.367)0.002
治疗分类1 230.262<0.001
初治187 89413 31893.381
复治10 7811 88485.120.570(0.540~0.602)<0.001
合并症441.140<0.001
176 36012 63393.321
22 3152 56989.680.789(0.752~0.827)<0.001
合并其他结核
189 64414 35792.961
9 02484591.440.685(0.542~0.867)<0.001
HIV检测结果333.932<0.001
阴性187 95614 11393.021
阳性1 58234082.310.387(0.342~0.437)<0.001
9 13774992.420.809(0.748~0.786)<0.001
), ArticleFig(id=1240746307237770059, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240375108343222427, language=CN, label=表6, caption=

2017—2022年贵州省肺结核患者治疗转归影响因素分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量治疗成功
(例)
不良结局
(例)
成功治疗率(%)χ2检验多因素logistic回归
χ2POR(95% CI)值P
性别385.043<0.001
71 2894 25594.371
127 38610 94792.090.736(0.709~0.765)<0.001
年龄(岁)4 548.533<0.001
<2025 56161297.671
20~3960 7602 41596.181.066(0.955~1.189)0.255
40~5960 7114 79092.690.659(0.591~0.736)<0.001
≥6051 6437 38587.490.360(0.323~0.402)<0.001
民族29.601<0.001
汉族126 75410 03392.671
非汉族71 9215 16993.291.052(1.014~1.090)<0.001
职业1 905.958<0.001
干部职员2 0077596.401
农民143 18212 95991.700.591(0.468~0.747)<0.001
学生23 32139998.321.370(1.050~1.788)0.020
教师1 6683797.831.461(0.978~2.181)0.064
医务人员1 8826796.560.991(0.706~1.390)0.959
离退休人员2 78843086.640.568(0.440~0.734)<0.001
其他23 8271 23595.070.798(0.628~1.014)0.065
患者来源273.159<0.001
健康体检6 26013397.921
主动筛查6222096.891.016(0.625~1.653)0.948
因症就诊189 57314 90292.710.716(0.599~0.855)<0.001
其他2 22014793.790.733(0.573~0.936)0.013
病原学结果1 606.529<0.001
阴性107 5175 67494.991
阳性90 1379 44890.510.634(0.612~0.657)<0.001
1 0218092.731.081(0.854~1.367)0.002
治疗分类1 230.262<0.001
初治187 89413 31893.381
复治10 7811 88485.120.570(0.540~0.602)<0.001
合并症441.140<0.001
176 36012 63393.321
22 3152 56989.680.789(0.752~0.827)<0.001
合并其他结核
189 64414 35792.961
9 02484591.440.685(0.542~0.867)<0.001
HIV检测结果333.932<0.001
阴性187 95614 11393.021
阳性1 58234082.310.387(0.342~0.437)<0.001
9 13774992.420.809(0.748~0.786)<0.001
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2017—2022年贵州省肺结核患者治疗转归及影响因素分析
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马晓雪 1 , 王大福 2 , 陈再平 1 , 周建 1 , 陈璞 1 , 陈美 1 , 刘益宁 1 , 李进岚 1
现代预防医学 | 临床与预防 2024,51(6): 1129-1134
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现代预防医学 | 临床与预防 2024, 51(6): 1129-1134
2017—2022年贵州省肺结核患者治疗转归及影响因素分析
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马晓雪1, 王大福2, 陈再平1, 周建1, 陈璞1, 陈美1, 刘益宁1, 李进岚1
作者信息
  • 1.贵州省疾病预防控制中心结防所,贵州 贵阳 550004
  • 2.贵州医科大学公共卫生与健康学院
  • 马晓雪(1996—),女,硕士,医师,研究方向:疾病预防与控制

通讯作者:

李进岚,E-mail:
Treatment outcomes and influencing factors in pulmonary tuberculosis patients in Guizhou, 2017-2022
Xiao-xue MA1, Da-fu WANG2, Zai-ping CHEN1, Jian ZHOU1, Pu CHEN1, Mei CHEN1, Yi-ning LIU1, Jin-lan LI1
Affiliations
  • Institute of Tuberculosis Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou 550004, China
出版时间: 2024-03-25 doi: 10.20043/j.cnki.MPM.202312256
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目的

分析贵州省肺结核患者的治疗结局及影响因素,为完善肺结核防控策略提供依据。

方法

从结核病信息管理系统导出2017—2022年贵州省肺结核患者个案,用率(%)描述治疗成功的分布特征,采用χ2检验和二分类logistic回归模型分析其影响因素。

结果

2017—2022年贵州省肺结核患者年均登记率为97.27/10万,呈逐年下降趋势(趋势χ2=2 230.684,P<0.001)。同期患者治疗成功率为92.89%,呈上升趋势(趋势χ2=51.800,P<0.001)。男性、≥60岁年龄组、毕节市患者的治疗成功率较低。影响因素分析结果显示,与女性、<20岁年龄组、干部职员、健康体检、病原学结果阴性、初治、无合并症、无合并其他结核、HIV检测结果阴性相比,男性(OR=0.736,95% CI:0.709~0.765)、≥60岁年龄组(OR=0.360,95% CI:0.323~0.402)、农民(OR=0.591,95% CI:0.468~0.747)、因症就诊(OR=0.716,95% CI:0.599~0.855)、复治(OR=0.570,95% CI:0.540~0.602)、有合并症(OR=0.789,95% CI:0.752~0.827)、合并其他结核(OR=0.685,95% CI:0.542~0.867)、HIV检测结果阳性(OR=0.387,95% CI:0.342~0.437)是患者成功治疗的危险因素(P均<0.05)。

结论

贵州省肺结核患者治疗情况总体较好,需进一步关注男性、老年人、毕节市、病原学阳性、HIV阳性、复治、合并症及合并其他结核等患者的治疗问题。

肺结核  /  治疗成功  /  影响因素
Objective

To analyze the treatment outcomes and influencing factors among pulmonary tuberculosis patients in Guizhou Province from 2017 to 2022, and to improve a basis for enhancing tuberculosis prevention and control strategies.

Methods

Individual cases of pulmonary tuberculosis patients in Guizhou Province from 2017 to 2022 were obtained from The Tuberculosis Information Management System. The distribution characteristics of treatment success were described using percentages (%), and the Chi-square test and binary logistic regression model were utilized to analyze the factors influencing treatment outcomes.

Results

During the period of 2017 to 2022, the annual average registration rate of pulmonary tuberculosis patients in Guizhou Province was 97.27/100 000 population, exhibiting a consistent downward trend (trend χ2=2 230.684, P<0.001). Meanwhile, the treatment success rate among the patients during the same time period was 92.89%, demonstrating a steady increase (trend χ2=51.800, P<0.001). Analysis results of influencing factors showed that compared with female, age group <20 years old, cadres and staff, physical examination, negative etiological results, initial treatment, no comorbidities, no other tuberculosis, and negative HIV test results, male (OR=0.736, 95% CI:0.709-0.765), ≥60 years old age group (OR=0.360, 95% CI:0.323-0.402), farmers (OR=0.591, 95% CI:0.468-0.747), medical treatment due to illness (OR=0.716, 95% CI: 0.599-0.855), retreatment (OR=0.570, 95% CI:0.540-0.602), complications (OR=0.789, 95% CI:0.752-0.827), other tuberculosis (OR=0.685, 95% CI:0.542-0.867) and positive HIV test results (OR=0.387, 95% CI:0.342-0.437) were risk factors for successful treatment(P<0.05).

Conclusion

Overall, the treatment outcomes of pulmonary tuberculosis patients in Guizhou Province are highly positive. However, it is essential to recognize that there are disparities in the distribution of treatment outcomes across various population groups. Hence, it is recommended to prioritize the treatment concerns of specific demographics, including male patients, the elderly population, individuals residing in Bijie city, patients with positive microbiological results, HIV=positive patients, individuals requiring retreatment, and those with comorbidities or concurrent tuberculosis. By focusing on these groups, targeted interventions and tailored approaches can be implemented to ensure that all individuals receive optimal treatment and care.

Pulmonary tuberculosis  /  Treatment success  /  Influencing factors
马晓雪, 王大福, 陈再平, 周建, 陈璞, 陈美, 刘益宁, 李进岚. 2017—2022年贵州省肺结核患者治疗转归及影响因素分析. 现代预防医学, 2024 , 51 (6) : 1129 -1134 . DOI: 10.20043/j.cnki.MPM.202312256
Xiao-xue MA, Da-fu WANG, Zai-ping CHEN, Jian ZHOU, Pu CHEN, Mei CHEN, Yi-ning LIU, Jin-lan LI. Treatment outcomes and influencing factors in pulmonary tuberculosis patients in Guizhou, 2017-2022[J]. Modern Preventive Medicine, 2024 , 51 (6) : 1129 -1134 . DOI: 10.20043/j.cnki.MPM.202312256
肺结核是一种严重危害人群身心健康的慢性传染性疾病,是全球重要的公共卫生问题之一[1]。肺结核患者的早发现、早诊断、早治疗对于控制其传播具有重要意义,若其发生中断治疗、不规律服药等情况,更容易导致病情进展,如发展为耐药肺结核导致耐药菌株在社会中进一步传播,甚至发生死亡情况,对社会造成严重危害[2]。本文将分析贵州省2017—2022年肺结核患者的治疗转归情况及影响因素,为完善肺结核防控策略提供科学依据。
2017—2022年贵州省肺结核患者资料来源于中国疾病预防控制信息系统子系统—结核病信息管理系统,人口学资料来源于贵州省统计年鉴。
从结核病信息管理系统中导出2017—2022年期间贵州省肺结核患者个案,收集其信息包括登记时间、社会人口学特征(性别、年龄等)、患者来源和其他诊断情况(治疗分类、病原学检查结果等)等信息。
转归情况:根据《中国结核病防治工作技术指南(2021版)》[3]将转归分为治愈、完成治疗、治疗失败、死亡、失败和其他。其中,治愈和完成治疗定义为成功治疗。成功治疗率为治愈和完成疗程的肺结核患者占登记肺结核患者的比例。
治疗转归情况在不同特征间的分布用率(%)进行描述,年度变化采用趋势χ2检验;单因素分析采用χ2检验,多因素分析采用二分类logistic回归分析(逐步向前进入法),以患者转归为是否治疗成功为因变量,人口学特征、就诊情况、患者来源等因素为自变量。运用SPSS 22.0进行统计检验,检验水准α为0.05。
贵州省2017—2022年共登记肺结核患者224 090例,年均登记率为97.27/10万,5年间呈下降趋势(趋势χ2=2 230.684,P<0.001)。其中,登记病原学阳性患者104 141例,年均病原学阳性率46.47%,呈上升趋势(趋势χ2=12 299.384,P<0.001)。见表1
224 090例登记患者中,未接受治疗共320例,转入耐多药治疗2 169例,诊断变更4 668例,转出(境外)4例,无转归结果3 052例。将有治疗转归结果共213 877例纳入治疗队列分析。213 877例转归患者中,198 675例(92.89%)为成功治疗,15 202例(7.11%)为不良结局。其中,成功治疗率2017—2022年呈上升趋势(趋势χ2=51.800,P<0.001)。详见表2
2017—2022年有治疗转归结果的213 877例患者中,男性成功治疗率低于女性(χ2=385.043,P<0.001);男女成功治疗率均呈上升趋势(趋势χ2=14.029、47.527,P均<0.05)。不同年龄组患者的年均成功治疗率不同(χ2=4 230.06,P<0.001);2017—2022年间除≥60岁年龄组的成功治疗率无明显上升趋势以外(趋势χ2=0.019,P=0.890),<20岁、20~39岁、40~59岁年龄组的成功治疗率均呈上升趋势(趋势χ2=83.782、141.675、26.107,P均<0.001)。详见表3图1图2
2017—2022年全省9个市州的年均成功治疗率在91.18%~94.69%之间,差异有统计学意义(χ2=497.234,P<0.001);2017—2022年间毕节市肺结核患者的成功治疗率呈上升趋势(趋势χ2=96.348,P<0.001)。详见表4
2.3.1 单因素分析性别、年龄、民族、职业、患者来源、病原学结果、治疗分类、有无合并症、有无合并其他结核、HIV检测结果等因素与成功治疗率有关(P均<0.001)。见表6
2.3.2 多因素分析将是否成功治疗作为因变量(0=不良结局,1=成功治疗),将性别、年龄、民族、职业、患者来源、病原学结果、治疗分类、有无合并症、有无合并其他结核、HIV检测结果等因素为自变量纳入二分类logistic回归模型(向前逐步进入法),各变量赋值情况见表5。结果显示,与女性、<20岁年龄组、干部职员、健康体检、病原学结果阴性、初治、无合并症、无合并其他结核、HIV检测结果阴性相比,男性(OR=0.736,95% CI:0.709~0.765)、≥60岁年龄组(OR=0.360,95% CI:0.323~0.402)、农民(OR=0.591,95% CI:0.468~0.747)、因症就诊(OR=0.716,95% CI:0.599~0.855)、复治(OR=0.570,95% CI:0.540~0.602)、有合并症(OR=0.789,95% CI:0.752~0.827)、合并其他结核(OR=0.685,95% CI:0.542~0.867)、HIV检测结果阳性(OR=0.387,95% CI:0.342~0.437)是患者成功治疗的危险因素(P均<0.05)。见表6
近年来,贵州省肺结核疫情持续下降,年均4.86%的下降速率明显高于全球1.6%和全国约3%的平均水平[4-5]。这与我省感染底数大以及一系列防控措施的不断优化密不可分。一是病例筛查能力的不断提升和筛查范围的扩增,逐步实现全省肺结核分子生物学快速诊断能力的全覆盖,将学生、老年人群纳入民生实事,扩大全省重点人群的主动发现工作。二是加强全省结核病定点医疗机构诊疗能力的提升,通过每年全省组织培训对结核病定点医院结防医生反复加强结核病的诊断、治疗等相关理论知识和更新国际、国家最新指南和要求;以及每年组织临床、影像学、实验室和公卫等专家组建省级结核病诊疗质量专家组,对全省9个市州开展结核病诊疗质量现场评估,提高各市州结核病诊疗的实操能力。三是不断提升全省结核病精准防控能力,通过建立全省疾控云管理系统,实现学生、老年人等筛查、基本公共卫生服务管理、传染性肺结核集中住院治疗等工作指标实时监测预警,每月定期统计分析,发现疫情苗头及早管控,防止疫情进一步扩散。
全省2017—2022年肺结核患者成功治疗率为92.89%,达到“十三五”全国结核病防治规划的目标要求(90%),且呈上升趋势。一是与国内外对结核病的关注升高,相关防治经费投入增加相关。二是与贵州省长期严格贯彻实施国家结核病工作规范密切相关,通过规范患者的治疗方案与疗程提高患者成功治疗水平有关。三是我省针对肺结核患者农民占比高,患者个人治疗经济负担沉重的问题为导向,深入调研推动新医保的实施,切实降低其负担保障全疗程治疗。
治疗转归的影响因素分析结果显示,男性、≥60岁年龄组、农民是肺结核患者成功治疗的危险因素,与国内外其他研究一致[6-8]。与健康体检这一主动发现方式比较,因症就诊患者的成功治疗率较低,与青海省[6]研究结果相反,可能原因为相比于健康体检的患者,因症就诊患者自身出现较为严重的症状,更容易错过最佳治疗时间。当前全省不断扩大了老年人、学生和患者密切接触者等重点人群的主动筛查,但患者发现仍是以被动发现为主,相关部门仍需继续重视。病原学阳性患者成功治疗率较阴性患者低,与巴基斯坦[9]结果一致,可能原因为病原学阳性患者体内患有大量结核分枝杆菌,病情较为严重,治疗难度大;有研究也指出[10],病原学阳性患者较为容易发生就诊延迟,导致错过疾病最佳治疗时间,导致不良结局发生。复治患者成功治疗率明显低于初治患者,与其他研究结果相似[11-13]。复治患者因其具有较长时间的抗结核药物史,更容易与其他抗结核药物发生抵抗作用;同时部分患者因长时间服药,易导致药物不良反应,依从性低等因素导致患者成功治疗率低。HIV检测结果为阳性的患者是患者成功治疗的危险因素,与其他研究结果一致[14-16]。TB/HIV双重感染会降低机体免疫,增加患者不良结局和死亡风险。提示要特别重视TB/HIV双感患者的早发现、早治疗,降低患者死亡风险。合并症和合并其他结核是成功治疗的危险因素,因为这一类患者病情更复杂,治疗难度更大。
本研究还存在一定局限,如无法获得患者经济收入、健康素养、临床相关检查等可能影响患者成功治疗的重要信息,有待进一步研究。
综上所述,2017—2022年全省肺结核患者成功治疗情况总体较好,要进一步关注男性、老年人、毕节市、病原学阳性、HIV阳性、复治、合并症及合并其他结核等患者的治疗问题。
  • 贵州省发改委省级基本建设前期工作项目(2020-181-131)
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doi: 10.20043/j.cnki.MPM.202312256
  • 接收时间:2023-12-15
  • 首发时间:2026-03-16
  • 出版时间:2024-03-25
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  • 收稿日期:2023-12-15
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贵州省发改委省级基本建设前期工作项目(2020-181-131)
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    1.贵州省疾病预防控制中心结防所,贵州 贵阳 550004
    2.贵州医科大学公共卫生与健康学院

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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