A Scoring System Based on Laboratory Parameters and Clinical Features to Predict Unfavorable Treatment Outcomes in Multidrug- and Rifampicin-Resistant Tuberculosis Patients

References

• Lange C, Chesov D, Heyckendorf J, Leung CC, Udwadia Z, Dheda K. Drug-resistant tuberculosis: an update on disease burden, diagnosis and treatment. Respirology. 2018;23(7):656–673. doi:10.1111/resp.13304
   PubMed Web of Science ®Google Scholar
• Knight GM, McQuaid CF, Dodd PJ, Houben RMGJ. Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling. Lancet Infect Dis. 2019;19(8):903–912. doi:10.1016/S1473-3099(19)30307-X
   PubMed Web of Science ®Google Scholar
• World Health Organization. Global Tuberculosis Report 2021. World Health Organization; 2021.
   Google Scholar
• Anley DT, Akalu TY, Merid MW, Tsegaye T. Development and validation of a nomogram for the prediction of unfavorable treatment outcome among multi-drug resistant tuberculosis patients in North West Ethiopia: an application of prediction modelling. Infect Drug Resist. 2022;15:3887–3904. doi:10.2147/IDR.S372351
   PubMed Web of Science ®Google Scholar
• Arroyo LH, Ramos ACV, Yamamura M, et al. Predictive model of unfavorable outcomes for multidrug-resistant tuberculosis. Rev Saude Publica. 2019;53:77. doi:10.11606/s1518-8787.2019053001151
   PubMed Web of Science ®Google Scholar
• Madan C, Chopra KK, Satyanarayana S, et al. Developing a model to predict unfavourable treatment outcomes in patients with tuberculosis and human immunodeficiency virus co-infection in Delhi, India. PLoS One. 2018;13(10):e0204982. doi:10.1371/journal.pone.0204982
   PubMed Web of Science ®Google Scholar
• Yu Q, Yan J, Tian S, et al. A scoring system developed from a nomogram to differentiate active pulmonary tuberculosis from inactive pulmonary tuberculosis. Front Cell Infect Microbiol. 2022;12:947954. doi:10.3389/fcimb.2022.947954
   PubMed Web of Science ®Google Scholar
• Tang S, Tan S, Yao L, et al. Risk factors for poor treatment outcomes in patients with MDR-TB and XDR-TB in China: retrospective multi-center investigation. PLoS One. 2013;8(12):e82943. doi:10.1371/journal.pone.0082943
   PubMed Web of Science ®Google Scholar
• Kuaban A, Balkissou AD, Ekongolo MCE, Nsounfon AW, Pefura-Yone EW, Kuaban C. Incidence and factors associated with unfavourable treatment outcome among patients with rifampicin-resistant pulmonary tuberculosis in Yaoundé, Cameroon. Pan Afr Med J. 2021;38:229. doi:10.11604/pamj.2021.38.229.28317
   PubMed Web of Science ®Google Scholar
• Alemu A, Bitew ZW, Worku T. Poor treatment outcome and its predictors among drug-resistant tuberculosis patients in Ethiopia: a systematic review and meta-analysis. Int J Infect Dis. 2020;98:420–439. doi:10.1016/j.ijid.2020.05.087
   PubMed Web of Science ®Google Scholar
• Li K, Tang H, Yang Y, et al. Clinical features, long-term clinical outcomes, and prognostic factors of tuberculous meningitis in West China: a multivariate analysis of 154 adults. Expert Rev Anti Infect Ther. 2017;15(6):629–635. doi:10.1080/14787210.2017.1309974
   PubMed Web of Science ®Google Scholar
• Luo M, Liu M, Wu X, et al. Impact of anemia on prognosis in tuberculosis patients. Ann Transl Med. 2022;10(6):329. doi:10.21037/atm-22-679
   PubMed Web of Science ®Google Scholar
• Verma R, Mahapatro S, Kumar A, et al. Platelet dysfunction and coagulation assessment in patients of tuberculous meningitis. Neurol Sci. 2020;41(8):2103–2110. doi:10.1007/s10072-020-04299-4
   PubMed Web of Science ®Google Scholar
• Caccamo N, Dieli F. Inflammation and the coagulation system in tuberculosis: tissue Factor leads the dance. Eur J Immunol. 2016;46(2):303–306. doi:10.1002/eji.201546225
   PubMed Web of Science ®Google Scholar
• Jin H. Effect of big data analysis-based remote management combined with yangyin runfei decoction on coagulation function, pulmonary function, and quality of life of pulmonary tuberculosis patients. Comput Intell Neurosci. 2022;2022:1708133. doi:10.1155/2022/1708133
   PubMed Web of Science ®Google Scholar
• World Health Organization. WHO Consolidated Guidelines on Drug-Resistant Tuberculosis Treatment. World Health Organization; 2019.
   Google Scholar
• World Health Organization. Definitions and Reporting Framework for Tuberculosis – 2013 Revision: Updated December 2014 and January 2020. World Health Organization; 2013.
   Google Scholar
• Ma J-B, Zeng L-C, Ren F, et al. Treatment outcomes and risk factors of multidrug-resistant tuberculosis patients in Xi’an China, a retrospective cohort study. Infect Drug Resist. 2022;15:4947–4957. doi:10.2147/IDR.S376177
   PubMed Web of Science ®Google Scholar
• Zhang L, Meng Q, Chen S, et al. Treatment outcomes of multidrug-resistant tuberculosis patients in Zhejiang, China, 2009–2013. Clin Microbiol Infect. 2018;24(4):381–388. doi:10.1016/j.cmi.2017.07.008
   PubMed Web of Science ®Google Scholar
• Van LH, Phu PT, Vinh DN, et al. Risk factors for poor treatment outcomes of 2266 multidrug-resistant tuberculosis cases in Ho Chi Minh City: a retrospective study. BMC Infect Dis. 2020;20(1):164. doi:10.1186/s12879-020-4887-1
   PubMed Web of Science ®Google Scholar
• Sharma N, Khanna A, Chandra S, et al. Trends & treatment outcomes of multidrug-resistant tuberculosis in Delhi, India (2009–2014): a retrospective record-based study. Indian J Med Res. 2020;151(6):598–603. doi:10.4103/ijmr.IJMR_1048_18
   PubMed Web of Science ®Google Scholar
• Hannah HA, Miramontes R, Gandhi NR. Sociodemographic and clinical risk factors associated with tuberculosis mortality in the United States, 2009–2013. Public Health Rep. 2017;132(3):366–375. doi:10.1177/0033354917698117
   PubMed Web of Science ®Google Scholar
• Becerra MC, Huang -C-C, Lecca L, et al. Transmissibility and potential for disease progression of drug resistant: prospective cohort study. BMJ. 2019;367:l5894. doi:10.1136/bmj.l5894
   PubMedGoogle Scholar
• Wang S, Tu J. Nomogram to predict multidrug-resistant tuberculosis. Ann Clin Microbiol Antimicrob. 2020;19(1):27. doi:10.1186/s12941-020-00369-9
   PubMed Web of Science ®Google Scholar
• Tupasi TE, Garfin AMCG, Kurbatova EV, et al. Factors associated with loss to follow-up during treatment for multidrug-resistant tuberculosis, the Philippines, 2012–2014. Emerg Infect Dis. 2016;22(3):491–502. doi:10.3201/eid2203.151788
   PubMed Web of Science ®Google Scholar
• Abdelbary BE, Garcia-Viveros M, Ramirez-Oropesa H, Rahbar MH, Restrepo BI. Predicting treatment failure, death and drug resistance using a computed risk score among newly diagnosed TB patients in Tamaulipas, Mexico. Epidemiol Infect. 2017;145(14):3020–3034. doi:10.1017/S0950268817001911
   PubMed Web of Science ®Google Scholar
• Chandrasekaran R, Mac Aogáin M, Chalmers JD, Elborn SJ, Chotirmall SH. Geographic variation in the aetiology, epidemiology and microbiology of bronchiectasis. BMC Pulm Med. 2018;18(1):83. doi:10.1186/s12890-018-0638-0
   PubMedGoogle Scholar
• Dicker AJ, Lonergan M, Keir HR, et al. The sputum microbiome and clinical outcomes in patients with bronchiectasis: a prospective observational study. Lancet Respir Med. 2021;9(8):885–896. doi:10.1016/S2213-2600(20)30557-9
   PubMed Web of Science ®Google Scholar
• Karimi A, Shobeiri P, Kulasinghe A, Rezaei N. Novel systemic inflammation markers to predict COVID-19 prognosis. Front Immunol. 2021;12:741061. doi:10.3389/fimmu.2021.741061
   PubMed Web of Science ®Google Scholar
• Lu J, Xu B-B, Zheng Z-F, et al. CRP/prealbumin, a novel inflammatory index for predicting recurrence after radical resection in gastric cancer patients: post hoc analysis of a randomized Phase III trial. Gastric Cancer. 2019;22(3):536–545. doi:10.1007/s10120-018-0892-0
   PubMed Web of Science ®Google Scholar
• Luo Y, Xue Y, Yuan X, et al. Combination of prealbumin and tuberculosis-specific antigen/phytohemagglutinin ratio for discriminating active tuberculosis from latent tuberculosis infection. Int J Clin Pract. 2021;75(4):e13831. doi:10.1111/ijcp.13831
   PubMed Web of Science ®Google Scholar
• Cunningham LL, Madsen MJ, Van Sickels JE. Using prealbumin as an inflammatory marker for patients with deep space infections of odontogenic origin. J Oral Maxillofac Surg. 2006;64(3):375–378. doi:10.1016/j.joms.2005.11.008
   PubMed Web of Science ®Google Scholar
• Yoon C, Semitala FC, Atuhumuza E, et al. Point-of-care C-reactive protein-based tuberculosis screening for people living with HIV: a diagnostic accuracy study. Lancet Infect Dis. 2017;17(12):1285–1292. doi:10.1016/S1473-3099(17)30488-7
   PubMed Web of Science ®Google Scholar
• Wang W, Du Z, Ni M, et al. Aspirin enhances the clinical efficacy of anti-tuberculosis therapy in pulmonary tuberculosis in patients with type 2 diabetes mellitus. Infect Dis. 2020;52(10):721–729. doi:10.1080/23744235.2020.1778177
   PubMed Web of Science ®Google Scholar
• Cudahy PGT, Warren JL, Cohen T, Wilson D. Trends in C-reactive protein, D-dimer, and fibrinogen during therapy for HIV-associated multidrug-resistant tuberculosis. Am J Trop Med Hyg. 2018;99(5):1336–1341. doi:10.4269/ajtmh.18-0322
   PubMed Web of Science ®Google Scholar
• Khan MT, Kaushik AC, Ji L, Malik SI, Ali S, Wei D-Q. Artificial neural networks for prediction of tuberculosis disease. Front Microbiol. 2019;10:395. doi:10.3389/fmicb.2019.00395
   PubMed Web of Science ®Google Scholar
• Khan MT, Rehaman AU, Junaid M, Malik SI, Wei D-Q. Insight into novel clinical mutants of RpsA-S324F, E325K, and G341R of associated with pyrazinamide resistance. Comput Struct Biotechnol J. 2018;16:379–387. doi:10.1016/j.csbj.2018.09.004
   PubMed Web of Science ®Google Scholar
• Günther G, Lange C, Alexandru S, et al. Treatment outcomes in multidrug-resistant tuberculosis. N Engl J Med. 2016;375(11):1103–1105. doi:10.1056/NEJMc1603274
   PubMed Web of Science ®Google Scholar
• Kurbatova EV, Cegielski JP, Lienhardt C, et al. Sputum culture conversion as a prognostic marker for end-of-treatment outcome in patients with multidrug-resistant tuberculosis: a secondary analysis of data from two observational cohort studies. Lancet Respir Med. 2015;3(3):201–209. doi:10.1016/S2213-2600(15)00036-3
   PubMed Web of Science ®Google Scholar