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Revista de la Facultad de Medicina Humana

versión impresa ISSN 1814-5469versión On-line ISSN 2308-0531

Rev. Fac. Med. Hum. vol.23 no.3 Lima jul./set. 2023  Epub 21-Sep-2023

http://dx.doi.org/10.25176/rfmh.v23i3.5815 

Original Article

Assessment of mycobacterium tuberculosis drug-resistance patterns in a public Hospital of Lima, Peru during 2022

Jorge R. Mosqueira, MD1 

María Angélica Paredes Moreno, MD2 

Julio César Layseca Ortiz, MD3 

Nancy Victoria Mogrovejo Olivera, MD4 

Alvaro Oyarce Calderón, MD5 

1Universidad Científica del Sur, Lima-Perú

2Chief of the Respiratory Medicine Department, Hospital Maria Auxiliadora, Lima, Peru

3Internal Medicine Resident of the Internal Medicine Department, Hospital Maria Auxiliadora, Lima, Peru

4Medical doctor, Universidad Científica del Sur, Facultad de Ciencias de la Salud, Carrera de Medicina Humana, Lima, Perú

5Medical doctor, Universidad Ricardo Palma, Facultad de Medicina Humana, Carrera de Medicina Humana, Lima, Perú

ABSTRACT

Background:

 Tuberculosis is a public health problem considered to be the world's leading cause of death from an infectious disease among adults. Diagnosis is often challenging and is based on clinical, epidemiological, radiological, bacteriological, histological and biochemical findings. Timely diagnosis, identification of the susceptibility profile and follow-up compliance is important to enable more effective treatment and avoid severe forms of the disease.

Objective:

 Describe the resistance patterns of Mycobacterium tuberculosis identified in the period of the year 2022 at Hospital María Auxiliadora.

Material and Methods:

 This is an observational, cross-sectional study of patients diagnosed with tuberculosis throughout the year 2022 in the Tuberculosis Center of Excellence (TB COE), division of the respiratory medicine department at the Hospital Maria Auxiliadora, Lima, Peru. Data was collected from the medical records which was then included for the statistical analysis. The clinical and demographic characteristics were described by absolute frequencies and percentages. Chi-square test and Fisher's exact test were used to evaluate the association between the sensitivity profile of tuberculosis and the independent variables. A p-value < 0.05 was considered as statistically significant.

Results:

 A total of 261 medical records were included in the present study. The most frequent age group was 17-59 years old, the majority were male (62.1%) and 15.7% were relapses, as established on national technical standard. Of the total, 89.7% were sensitive to first line drugs; 6.1% of the patients were multidrug-resistant (MDR), and 0.8% presented extensively drug-resistance (XDR); likewise, 0.8% and 2.7% presented resistance for rifampicin only and resistance for isoniazid only respectively. HIV infection was found at 14.2%. The most common form of tuberculosis was pulmonary (49%) followed by pleural tuberculosis (21.8%).

Conclusion:

 Tuberculosis is a worldwide condition whose drug-resistance patterns continue evolving. However, in our hospital, a southern Peru reference Center, most TB patients are still sensitive to first line drugs. Only a small amount of MDR and XDR patients were found. Moreover, the most common clinical presentation was pulmonary followed by pleural tuberculosis.

Keywords: Tuberculosis; Mycobacterium tuberculosis; Drug Resistance; Infections (Source: MESH-NLM)

INTRODUCTION

Tuberculosis (TB) infection continues to be a worldwide public health issue in which its incidence and mortality numbers have been declining in the last decade, apparently not fast enough for the targets set by the World Health Organization (WHO).1During 2021, an increase of 4.5% in the worldwide incidence of TB compared to the previous year was reported, where 10.6 million people got infected and a mortality rate of 20 per 100 000 population was evidenced.1One of the main possible causes of the increasing number of cases, is the impact of the COVID-19 pandemic on the unprepared healthcare systems for a crisis of this magnitude mirrored in a lack of TB related services.2As for Latin America, other aspects must be taken into account such as the ongoing political, economic, and social crises, a setback in poverty reduction, in addition to the increasing rates of homelessness and prisoners3,4,4which reflects in two south American countries with a position in the three global lists of high-burden countries for TB.5Brazil accounts for the only south American country included in two of them, the high burden TB list itself as well as in the HIV-associated TB one. In addition, Peru is the other south American country that has gained a spot in the third one, the Multidrug-resistant (MDR) / Rifampicin-resistant (RR) TB list6which keeps bringing nothing but concern in all aspects for disease control. It is worth mentioning that following the worldwide trend, Peru also experienced an increase of 5.1% in the incidence of TB between the years mentioned.

Alongside the growth in TB infection and death numbers, drug-resistant TB (DRTB), continues to be a rising problem. Reflected on the steady increase of these cases, several factors play a critical role on the risk to develop DRTB, including demographic and socioeconomic ones such as psychiatric illness, alcohol or drug addiction, homelessness, comorbidities and ages between 18 to 45.7On another hand, but still interrelated, history of previous treatment has been more strongly associated8with its different scenarios ranging from inadequate treatment for specific situations, as in wrong choice of new drugs for an unsuccessful treatment, discharge of still infected patients, cases of undetected underlying resistance and non-adherence, to genetic predisposition due to permanent or temporary mutations on efflux pump, propionate catabolism, glycerol kinase encoding associated genes, to name a few.9It is worth mentioning that Mycobacterium was found as one of the most important multi-antibiotic resistant bacteria (MAR) with the presence of 14 MAR genes.10

The development of different drug resistance patterns impacts socially and economically as it requires a prolonged and a more expensive treatment regimen involving investment in more resources and infrastructure, which are lacking in the context of low-income countries11due to poor investment from the government in quantity or quality alongside different social factors.12This causes a great impact on morbidity and mortality especially in vulnerable communities for the access to health services in general.11From this study we intend to describe the drug resistance patterns of Mycobacterium tuberculosis identified in the period of the year 2022 in our locality and to compare them with those existing in other realities.

MATERIALS AND METHODS

Study design and participants

Data was collected from the medical records of patients with a diagnosis of tuberculosis in any of its clinical forms who started an antituberculosis treatment scheme during the period of January 1 of 2022 to December 31 of the same year, which were provided by the registry of the Tuberculosis Center of Excellence (TB COE), area of the hospital in charge of monitoring these patients that belongs to the Pulmonology Department of the María Auxiliadora Hospital. In addition, the results of the antituberculous drugs sensitivity profiles of these patients were also taken from the NetLab information system of the National Institute of Health. Medical records that did not have a sensitivity profile or other registered clinical-epidemiological data were excluded.

Ethics statements

International ethical standards for biomedical research with human subjects, present in the Declaration of Helsinki will be followed. Informed consent was not required since only specific information from medical records were obtained and evaluated. All data was handled with total confidentiality and used for research purposes only. Finally, the final manuscript will be published in a journal indexed in Scopus and PubMed. No financial support was provided for this study.

Statistical análisis

A database was generated in Microsoft Excel ® v. 2010 (Microsoft Corporation, CA, USA) which was then exported to the statistical program STATA version 15.0 (StataCorpLP, TX, USA) to carry out the statistical analysis. All the variables were reported in absolute frequencies and percentages as they were all categorical, including age which was then categorized before the analysis. On another hand, we performed a bivariate analysis, in order to indicate significance between sensitivity and some degree of resistance, the Chi-square test and Fisher's exact test were used according to the evaluation of the assumptions based on the expected values. A p-value < 0.05 was considered statistically significant.

RESULTS

A total of 294 medical histories of patients with a diagnosis of tuberculosis in all its clinical forms were reviewed, of which 18 were excluded for having incomplete clinical-epidemiological-radiological data, in addition to 15 medical histories that did not have sensitivity profile data in the NetLab information system of the National Institute of Health; finally, 261 patients were included for the statistical analysis (Figure 1).

Figure 1: Flow chart 

Table 1.  Clinical and demographics characteristics 

TUBERCULOSIS
N = 261
AGE Frequency %
0-5 y 1 0.38
6-11 y 5 1.92
12-18 y 12 4.6
19-26 y 37 14.18
27-59 y 160 61.3
>60 y 46 17.62
SEX Frequency %
Feminine 99 37.93
Masculine 162 62.07
NATIONALITY Frequency %
Peruvian 253 96.93
Venezuelan 8 3.07
CRITERIA Frequency %
Bacteriological 129 49.43
Clinical/Epidemiological/Radiological 73 27.97
Histopathological 43 16.48
Biochemical 16 6.13
DX TEST Frequency %
Genotype 125 47.89
Genexpert 128 49.04
MODS 8 3.07
SENSITIVITY PROFILE Frequency %
Sensible 234 89.66
Mono rifampicin resistant 2 0.77
Mono isoniazid resistant 7 2.68
MDR-TB 16 6.13
XDR-TB 2 0.77
CONDITION OF ADMISSION Frequency %
Never treated 217 83.14
Relapse 41 15.71
Resumed abandonment 3 1.15
COMORBIDITIES Frequency %
HIV Immunosuppression 37 14.18
Non HIV- Immunosuppression 30 11.5
Other Comorbidities 5 1.91
Unhealthy Habits 18 6.89
None 171 65.52
UNHEALTHY HABITS Frequency %
Alcohol 8 6.13
Smoking 1 0.38
Drug users 12 4.6
None 240 91.95
RISK FACTOR Frequency %
None 206 78.93
Contacts with active tuberculosis 50 19.16
MDR contact 3 1.15
Health workers 2 0.77

MODS: Microscopic observation drug susceptibility; MDR: Multidrug resistant tuberculosis; XDR: Extensively drug resistant tuberculosis; HIV: Human Immunodeficiency virus

As it is reported on Table 1, the most frequent age group was the 27-59 years old one and the majority were male (62.1%). Among the diagnostic criteria for patient admission, the most common was bacteriology (49.4%), followed by clinical/epidemiological/radiological (27.97%), histopathology (16.5%), and biochemical (6.13%). Sensitivity profile studies on antituberculosis drugs obtained were performed with Genotype (47.9%), Genexpert (49%), MODS (3.1%) diagnostic tests. Out of the 261 patients evaluated, 89.66% were sensitive to first line antituberculosis drugs; 6.13% were MDR-TB, and 0.77% presented XDR-TB resistance; likewise, 0.77% and 2.68% exhibited monoresistance to rifampicin and isoniazid respectively. Regarding the condition of admission, 83.14% were considered as new patients, this meaning they have never received treatment for TB infection; 15.71% presented relapse, defined by the Peruvian technical standard as presenting a new diagnosis of tuberculosis 6 months after the last diagnosis; and 1.15% were admitted as patients who resumed their treatment after not receiving it for 30 days or more, as established on the previously mentioned document. Most of the patients had no comorbidities (65,52%), although 14.18% had a diagnosis of HIV, 11.5% patients presented another condition that conditioned immunosuppression (diabetes mellitus, pregnancy, treatment with corticoids and chronic renal disease), 1.91% had another disease that did not condition immunosuppression (history of arterial hypertension, stroke, Parkinson's disease, bulimia, gout, human papilloma virus infection), 6.89% patients had unhealthy habits. With respect to last, it was observed that 6.13% of the patients consumed alcohol, 4.6% were drug users, 0.38% had a history of smoking and 91.95% had no harmful habits. In relation to risk factors, patients who had contact with active tuberculosis (19.16%), patients with MDR contact (1.15%), health workers (0.77%), and patients who did not present any risk factor (78.93%) were taken into account.

Figure 2:  Distribution of clinical forms of tuberculosis 

Distribution of the clinical forms of tuberculosis are shown on Figure 2. Most patients were diagnosed with pulmonary tuberculosis (49.04%), followed by pleural TB (21.84%). It was observed that 7.66% were diagnosed with multisystemic TB, 5.75% with mammary TB, 3.07% with ganglionar TB, TB of the central nervous system, osteoarticular and pleuro-parenchymal each accounting for 2.68% of the population; miliary and gastrointestinal forms where each constitutes 1.15% of the population; cases of genitourinary and cutaneous TB were each amounting to 0.77% and finally only 0.38% presented nasopharyngeal TB.

Table 2.  Bivariate analysis 

OVERALL POPULATION PULMONARY EXTRAPULMONARY P VALUE
n = 261 (100%) n = 127 (48.66%) n = 134 (51.32%) p
AGE
0-5 1 (0.38) 1 (0.79) 0 (0)
6-11 5 (1.92) 4 (3.15) 1 (0.75)
12-18 12 (4.6) 4 (3.15) 8 (5.97)
19-26 37 (14.18) 18 (14.17) 19 (14.18)
27-59 160 (61.3) 72 (56.69) 88 (65.67)
>60 46 (17.62) 28 (22.05) 18 (13.43) 0.158
SEX
Feminine 99 (37.93) 49 (38.58) 50 (37.31)
Masculine 162 (62.07) 78 (61.42) 84 (62.69) 0.833
NATIONALITY
Peruvian 253 (96.93) 125 (98.43) 128 (95.52)
Venezuelan 8 (3.07) 2 (1.57) 6 (4.48) 0.174
CRITERIA
Bacteriological 129 (49.43) 95 (74.8) 34 (25.37) <0.001
Clinical/Epidemiological/Radiological 73 (27.97) 29 (22.83) 44 (32.84)
Histopathological 43 (16.48) 2 (1.57) 41 (30.6)
Biochemical 16 (6.13) 1 (0.79) 15 (11.19)
DX TEST
Genotype 125 (47.89) 88 (69.29) 37 (27.61)
Genexpert 128 (49.04) 38 (29.92) 90 (67.16)
MODS 8 (3.07) 1 (0.79) 7 (5.22) <0.001
SENSITIVITY PROFILE
Sensible 234 (89.66) 108 (85.04) 126 (94,03)
Mono rifampicin resistant 2 (0.77) 2 (1.57) 0 (0)
Mono isoniazid resistant 7 (2.68) 4 (3.15) 3 (2.24)
MDR TB 16 (6.13) 12 (9.45) 4 (2.99)
XDR TB 2 (0.77) 1 (0.79) 1 (0.75) 0.074
CONDITION OF ADMISSION
Never treated 217 (83.14) 96 (75.59) 121 (90.3)
Relapse 41 (15.71) 29 (22.83) 12 (8.96)
Resumed abandonment 3 (1.15) 2 (1.57) 1 (0.75) 0.003
COMORBIDITIES
HIV Immunosuppression 37 (14.18) 19 (14.96) 18 (13.43) 0.724
Non HIV-Immunosuppression 30 (11.5) 17 (13.39) 13 (9.7) 0,289
Other Comorbidities 5 (1.91) 2 (1.57) 3 (2.24) 0.488
Unhealthy Habits 18 (6.89) 12 (9.45) 6 (4.48) 0.113
None 171 (65.52) 79 (62.2) 93 (69.4) 0.318
UNHEALTHY HABITS
Alcohol 8 (6.13) 7 (5,51) 1 (0,75) 0.026
Smoking 1 (0,38) 1 (0,79) 0 (0) 0.303
Drug users 12 (4,6) 7 (5,51) 5 (3,73) 0.492
None 240 (91,95) 114 (89,76) 126 (94,03) 0.113
RISK FACTOR
None 206 (78,93) 96 (75,59) 110 (82,09)
Contacts with active TB 50 (19,16) 28 (22,05) 22 (16,42)
MDR contact 3 (1,15) 2 (1,57) 1 (0,75)
Health workers 2 (0,77) 1 (0,79) 1 (0,75) 0.641

MODS: Observación microscópica de la sensibilidad a los fármacos; MDR: Tuberculosis multirresistente; XDR: Tuberculosis extremadamente farmacorresistente; VIH: Virus de la Inmunodeficiencia Humana.

Table 2 indicates that 65.67% of patients between the ages of 27-59 years were diagnosed with extrapulmonary tuberculosis. Similarly, 62.69% of the patients with extrapulmonary tuberculosis were male. A significant p-value was obtained when evaluating the variables of diagnostic criteria, admission condition, type of diagnostic test used for the sensitivity profile. Most of the patients with a diagnosis of extrapulmonary tuberculosis had never been treated (90.30%). Regarding the sensitivity profile, 94.03% of patients with extrapulmonary tuberculosis were sensitive to first-line drugs; in contrast, patients with pulmonary tuberculosis presented more cases of MDR tuberculosis (9.45%).

Table 3.  Clinical and demographics characteristics 

TUBERCULOSIS
SENSIBLE R RESISTANT H RESISTANT MDR XDR P VALUE
n = 234 (89.96%) n = 2 (0.77%) n = 7 (2.68%) n = 16 (6.13%) n = 2 (0.77%) p
AGE
0-5 1 (0,43) 0 (0) 0 (0) 0 (0) 0 (0) 0.005
6-11 4 (1,71) 1 (50) 0 (0) 0 (0) 0 (0)
12-18 12 (5,13) 0 (0) 0 (0) 0 (0) 0 (0)
19-26 34 (14,53) 0 (0) 0 (0) 3 (18,75) 0 (0)
27-59 144 (61,54) 0 (0) 6 (85,71) 10 (62,5) 0 (0)
>60 39 (16,67) 1 (50) 1 (14,29) 3 (18,75) 2 (100)
GENDER
Feminine 92 (39,32) 1 (50) 0 (0) 6 (37,5) 0 (0) 0.213
Masculine 142 (60,68) 1 (50) 7 (100) 10 (62,5) 2 (100)
NATIONALITY
Peruvian 227 (97,01) 2 (100) 6 (85,71) 16 (100) 2 (100) 0.462
Venezuelan 7 (2,99) 0 (0) 1 (14,29) 0 (0) 0 (0)
CLINICAL FORM OF TB
Pulmonary TB 108 (46,15) 2 (100) 4 (57,14) 12 (75) 2 (100) 0.544
Multisystemic TB 19 (8,12) 0 (0) 0 (0) 1 (6,25) 0 (0)
Pleural TB 56 (23,93) 0 (0) 0 (0) 1 (6,25) 0 (0)
Mammary TB 15 (6,41) 0 (0) 0 (0) 0 (0) 0 (0)
CNS TB 7 (2,99) 0 (0) 0 (0) 0 (0) 0 (0)
Cutaneous TB 2 (0,85) 0 (0) 0 (0) 0 (0) 0 (0)
Ganglionar TB 6 (2,56) 0 (0) 1 (14,29) 1 (6,25) 0 (0)
Osteoarticular TB 7 (2,99) 0 (0) 0 (0) 0 (0) 0 (0)
Pleuro-Parenchymal TB 5 (2,14) 0 (0) 1 (14,29) 1 (6,25) 0 (0)
Miliary TB 2 (0,85) 0 (0) 1 (14,29) 0 (0) 0 (0)
Gastrointestinal TB 3 (1,28) 0 (0) 0 (0) 0 (0) 0 (0)
Testicular TB 1 (0,43) 0 (0) 0 (0) 0 (0) 0 (0)
Genitourinary TB 2 (0,85) 0 (0) 0 (0) 0 (0) 0 (0)
Nasopharyngeal TB 1 (0,43) 0 (0) 0 (0) 0 (0) 0 (0)
CONDITION OF ADMISSION
Never treated 198 (84,62) 2 (100) 6 (85,71) 10 (62,5) 1 (50) 0.544
Relapse 34 (14,53) 0 (0) 1 (14,29) 5 (31,25) 1 (50)
Resumed abandonment 2 (0,85) 0 (0) 0 (0) 1 (6,25) 0 (0)
COMORBIDITY
HIV Immunosuppression 35 (14,96) 0 (0) 1 (14,29) 1 (6,25) 0 (0) 0,836
Non HIV- Immunosuppression 26 (11,11) 1 (50) 0 (0) 3 (18,75) 0 (0) 0,386
Other Comorbidities 4 (1,71) 0 (0) 0 (0) 1 (6,25) 0 (0) 0,423
Unhealthy Habits 12 (5,13) 0 (0) 3 (42,86) 3 (18,75) 0 (0) 0,006
None 158 (67,52) 1 (50) 3 (42,86) 8 (50) 2 (100) 0,503
UNHEALTHY HABITS
OH 5 (2,14) 0 (0) 3 (42,86) 0 (0) 0 (0) 0,003
Smoking 1 (0,43) 0 (0) 0 (0) 0 (0) 0 (0) 1
Drug users 9 (3,85) 0 (0) 0 (0) 3 (18,75) 0 (0) 0,087
None 219 (93,59) 2 (100) 4 (57,14) 13 (81.25) 2 (100) 0,02
RISK FACTOR
None 186 (79,49) 2 (100) 6 (85,71) 10 (62,5) 2 (100) 0,473
Contacts with active TB 44 (18,8) 0 (0) 1 (14,29) 5 (31,25) 0 (0)
MDR contact 2 (0,85) 0 (0) 0 (0) 1 (6,25) 0 (0)
Health workers 2 (0,85) 0 (0) 0 (0) 0 (0) 0 (0)

MDR: Multidrug resistant tuberculosis; XDR: Extensively drug resistant tuberculosis; HIV: Human Immunodeficiency virus

The sensitivity profile observed in each group of patients is described on Table 3. Overall, the majority of patients were sensitive to first-line antituberculosis drugs. Statistically significant results were obtained when evaluating the sensitivity profile according to age as well as unhealthy habits. Most patients with MDR tuberculosis were between 27-59 years of age; however, 61.5% of patients sensitive to first-line drugs were also in the same age group. 42.86% of the patients who presented resistance to isoniazid consumed alcohol, likewise 18.75% of the MDR patients were drug users.

No statistically significant differences were obtained when evaluating sensitivity in relation to the clinical forms of tuberculosis, sex, nationality and comorbidities; however, it was found that among patients with the diagnosis of MDR tuberculosis, 62.5% were male, 75% were diagnosed with pulmonary tuberculosis and 31.3% had relapsed after previous treatment. Finally, in relation to comorbidities, 50% did not have them and 18.8% had some type of immunosuppression rather than HIV.

DISCUSSION

In the present study we sought to determine the different TB drug resistance patterns of TB diagnosed patients in a public hospital in Lima, Peru. The majority of patients were sensitive to first-line antituberculosis drugs, nevertheless a lower percentage of patients with MDR and XDR tuberculosis and with resistance to rifampicin or isoniazid were also observed. Around the world there are different reports of the prevalence of tuberculosis and their respective sensitivity profiles. A systematic review by Lohiya et al. reported the prevalence of MDR, Any Drug Resistance and XDR patients to be 3.5%, 24.9% and 0.06%, respectively.13Likewise, in the study by Ahmad et al. regarding the prevalence of tuberculosis and drug resistance in the Middle East, regions such as Saudi Arabia, had variations in the MDR-TB prevalence according to the time period in which the studies were conducted, with an average of 6.7%.14Similarly, Tengan et al. studied the prevalence of MDR-TB in Latin America among never treated patients was 7.0% and previously treated cases was 26.5%.15

Additionally, as in our study, it has been reported that monoresistance was higher for isoniazid compared to rifampicin.14),(15Our findings align with those reported in the international literature, likely due to shared local factors associated with tuberculosis. Poverty, for instance, has been identified as a contributing factor, with higher incidence observed in middle and low-income countries by Furin et al.16Moreover, under-diagnosis of resistant forms of tuberculosis can delay treatment initiation, potentially explaining the unchanged or increasing prevalence rate of MDR tuberculosis as reported by Tengan et al.15

The most common age group in the present study was the 17-59 years old one, with a predominance in the male sex, results consistent with those from similar studies that also concluded the adult group to be the most frequently affected, and also the one in which coinfection with HIV is more common.17),(18Similar findings were reported by Bonin, et al. who found that 76% of the patients they studied were male.18

We emphasize adequate control over unhealthy habits on TB patients, as 60% of these habits was described on patients admitted in a Brazilian referral hospital with significant correlation of the use of illicit drugs with drug-resistant TB.18

Despite, finding less frequency than previously described,19alcohol drinking was found to be associated with drug-resistance. Indeed, it has been related with rising risk of transmission and disease severity, by increasing pulmonary oxidative stress, impairing mucociliary function, alveolar epithelium and macrophage action.20

Smoking is also described as a major driver of TB. Thereby, De Vargas, et al. concluded that self-reported active smokers, with 32% prevalence, had minor chances to cure and more to abandon treatment.21In contrast, despite evaluating more patients, we found less prevalence of smoking habit and could not establish its association with drug-resistance TB.

The impact caused by these conditions, as mentioned by Song W, et al. in their retrospective cohort study, needs to be taken into consideration because of its effect over TB-resistance.22

Furthermore, most of the patients with a diagnosis of tuberculosis in our study, were sensitive to first-line antituberculosis drugs regardless of the presence of any comorbidity, in contrast to different studies that show HIV infection as a disease that generally conditions patients to present resistance to first-line antituberculosis drugs. Both share predisposing factors such as poverty, which has been shown to be a risk factor for MDR-TB in HIV patients due to overcrowding in the home, overcrowding in transportation and weak immune systems associated with malnutrition.16)-(23That is why studies such as the systematic review and meta-analysis by Sultana et al. reports the odds of MDR-TB infection among HIV-positive cases to be 1.42 times higher.24

There are other immunosuppressive conditions predisposing the patient to TB infection such as diabetes mellitus which has been reported to triple the risk for disease development and have a 2-fold higher risk of developing MDR TB than patients without it.25),(26Although the association between comorbidities that generate immunosuppression and MDR TB is still inconsistent as mentioned by Hamada et al, in their review article, there is still a limitation when evaluating the sensitivity profile in different parts of the world.27Sensitivity profiles are often performed only when there is first-line treatment failure, and this could be the reason why in our study the results of resistance and comorbidities are not related to the previously mentioned international studies. Other conditions that generate immunosuppression and consequently are associated with tuberculosis have been described in the international literature.28)-(30In our study we considered other factors such as pregnancy, patients with chronic renal disease, neoplasias and treatment with corticoids.28

Patients who had no contact with a TB infected person presented a higher prevalence of drug resistance than those who were. However, only one case of TB MDR was reported out of the 3 patients with TB MDR exposure while the other two were susceptible to first line treatment. According to a systematic review which included studies from around the world, the resistance pattern concordance between infected patients and their household contacts was of 54.3% meaning more than half of the secondary cases had the same resistance pattern of the index cases.31Out of the 33 articles included, 2 were performed in the Peruvian population. Bayona et.al. studied MDR-TB patients from 1996 to 1999 where 8% of the contacts developed TB infection, and out of those who developed the disease, 84% were MDR-TB with 17% sharing the same drug-resistance pattern.32Similarly, Parr included patients from 1996 to 2003 revealing that almost 90% were resistant to isoniazid and rifampin showing the importance of TB contact investigation, which lies in the reduction of its related mortality associated with a late diagnosis especially in high-burden settings.33)-(35On another hand, the relationship between drug-resistance and TB relapse or abandonment.

Our study has inherent limitations that should be considered in its interpretation. We analyzed patients diagnosed with tuberculosis solely in 2022 at María Auxiliadora Hospital, with no data from previous years to determine prevalence tendencies. Furthermore, the transfer of patients to local health centers hindered follow-up and monitoring of treatment response. Additionally, there was a delay in sensitivity profile requests, resulting in resistance evaluations typically occurring only after first-line treatment had failed. Nonetheless, it is important to remark that this study was performed in an academic medical center, a third level and referral hospital in Peru.

CONCLUSIONS

Tuberculosis is a worldwide condition whose drug-resistance patterns continue evolving. However, in our hospital, a southern Peru reference Center, most TB patients are still sensitive to first line drugs. Only a small amount of MDR and XDR patients were found. Moreover, the most common clinical presentation was pulmonary followed by pleural tuberculosis. Nevertheless, a close follow-up of Mycobacterium tuberculosis-resistance patterns is crucial to prevent the spread of this infection. Monitoring of high-risk patients is required for optimal control because MDR and XDR tuberculosis is a serious public health issue around the world.

As this investigation was done during COVI-19 pandemic, we recommend carrying out some studies that consider pre- and post-COVID-19 pandemic information.

REFERENCES

1. Fukunaga R, Glaziou P, Harris JB, Date A, Floyd K, Kasaeva T. Epidemiology of Tuberculosis and Progress Toward Meeting Global Targets - Worldwide, 2019. 2021;70(12). [ Links ]

2. Visca D, Ong CWM, Tiberi S, Centis R, D'Ambrosio L, Chen B, et al. Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects. Pulmonology [Internet]. 2021 Mar [citado 2023 Apr 28];27(2):151-65. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2531043721000040Links ]

3. Ranzani OT, Pescarini JM, Martinez L, Garcia-Basteiro AL. Increasing tuberculosis burden in Latin America: an alarming trend for global control efforts. BMJ Glob Health [Internet]. 2021 Mar [citado 2023 Apr 28];6(3):e005639. Disponible en: https://gh.bmj.com/lookup/doi/10.1136/bmjgh-2021-005639Links ]

4. Walter KS, Martinez L, Arakaki-Sanchez D, Sequera VG, Estigarribia Sanabria G, Cohen T, et al. The escalating tuberculosis crisis in central and South American prisons. The Lancet [Internet]. 2021 abr [citado 2023 abr 28];397(10284):1591-6. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0140673620325782Links ]

5. OMS. WHO global list of high burden countries for tuberculosis (TB), TB/HIV and multidrug/rifampicin-resistant TB (MDR/RR-TB), 2021-2025 [Internet]. 2021. Disponible en: https://cdn.who.int/media/docs/default-source/hq-tuberculosis/who_globalhbcliststb_2021-2025_backgrounddocument.pdf?sfvrsn=f6b854c2_9Links ]

6. OMS. Informe mundial sobre la tuberculosis 2022 [Internet]. 2022. Disponible en: https://www.who.int/publications/i/item/9789240061729Links ]

7. Rumende CM. Risk Factors for Multidrug-resistant Tuberculosis. Indones J Intern Med [Internet]. 2018;50. Disponible en: https://www.actamedindones.org/index.php/ijim/article/view/785/296Links ]

8. Hameed S, Ahmad SR, Rahman MA ur, Nazir H, Ullah I. Drug resistance profile of Mycobacterium tuberculosis and predictors associated with the development of drug resistance. Revista de resistencia antimicrobiana global [Internet]. 2019 Sep [citado 2023 Apr 28];18:155-9. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2213716519300785Links ]

9. Goossens SN, Sampson SL, Van Rie A. Mechanisms of Drug-Induced Tolerance in Mycobacterium tuberculosis. Clin Microbiol Rev [Internet]. 2020 dic 16 [citado 2023 abr 28];34(1):e00141-20. Disponible en: https://journals.asm.org/doi/10.1128/CMR.00141-20Links ]

10. Liu Z, Klümper U, Liu Y, Yang Y, Wei Q, Lin JG, et al. Metagenomic and metatranscriptomic analyses reveal activity and hosts of antibiotic resistance genes in activated sludge. Medio ambiente internacional [Internet]. 2019 Aug [citado 2023 Apr 28];129:208-20. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0160412019307603Links ]

11. OMS. Global Health Expediture Database (GHED) [Internet]. 2022. Disponible en: https://apps.who.int/nha/databaseLinks ]

12. Ahmad M, Khan AU. Global economic impact of antibiotic resistance: A review. Revista de resistencia antimicrobiana global [Internet]. 2019 Dec [citado 2023 Apr 28];19:313-6. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2213716519301341Links ]

13. Lohiya A, Suliankatchi Abdulkader R, Rath RS, Jacob O, Chinnakali P, Goel AD, et al. Prevalence and patterns of drug resistant pulmonary tuberculosis in India-A systematic review and meta-analysis. Journal of Global Antimicrobial Resistance [Internet]. 2020 Sep [citado 2023 Apr 28];22:308-16. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2213716520300722Links ]

14. Ahmad S, Mokaddas E, Al-Mutairi NM. Prevalence of tuberculosis and multidrug resistant tuberculosis in the Middle East Region. Revisión experta de terapia antiinfecciosa [Internet]. 2018 Sep 2 [citado 2023 Apr 28];16(9):709-21. Available from: https://www.tandfonline.com/doi/full/10.1080/14787210.2018.1519393Links ]

15. Tengan FM, Figueiredo GM, Leite OH, Nunes AK, Manchiero C, Dantas BP, et al. Prevalence of multidrug-resistant tuberculosis in Latin America and the Caribbean: a systematic review and meta-analysis. Trop Med Int Health [Internet]. 2020 Sep [citado 2023 Apr 28];25(9):1065-78. Disponible en: https://onlinelibrary.wiley.com/doi/10.1111/tmi.13453 [ Links ]

16. Furin J, Cox H, Pai M. Tuberculosis. The Lancet [Internet]. 2019 Apr [citado 2023 Apr 28];393(10181):1642-56. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0140673619303083Links ]

17. Wang DM, Li Q feng, Zhu M, Xu YH, Liao Y. Clinical characteristics, common sites and drug resistance profile in culture-confirmed extrapulmonary TB/HIV co-infection patients, Southwest China. Journal of Global Antimicrobial Resistance [Internet]. 2022 [citado 2023 Apr 16];28:1-7. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2213716521002721Links ]

18. Bonin CR, Fochat RC, Leite ICG, Pereira TV, Fajardo M de O, Pinto CPG, et al. Análisis de la resistencia a los medicamentos antituberculosos y aspectos sociodemográficos y clínicos de pacientes ingresados en un hospital de referencia. Einstein (São Paulo) [Internet]. 2019 Oct 22 [citado 2023 Apr 16];18:eAO4620. Disponible en: https://journal.einstein.br/article/analysis-of-anti-tuberculosis-drug-resistance-and-sociodemographic-and-clinical-aspects-of-patients-admitted-in-a-referral-hospital/Links ]

19. Thummar PD, Rupani MP. Prevalence and predictors of hazardous alcohol use among tuberculosis patients: The need for a policy on joint tuberculosis-alcohol collaborative activities in India. Alcohol [Internet]. 2020 Aug [citado 2023 Apr 20];86:113-9. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S074183292030197XLinks ]

20. Wigger GW, Bouton TC, Jacobson KR, Auld SC, Yeligar SM, Staitieh BS. The Impact of Alcohol Use Disorder on Tuberculosis: A Review of the Epidemiology and Potential Immunologic Mechanisms. Front Immunol [Internet]. 2022 Mar 31 [citado 2023 Apr 16];13:864817. Disponible en: https://www.frontiersin.org/articles/10.3389/fimmu.2022.864817/fullLinks ]

21. de Vargas KR, Freitas AA, Azeredo ACV, Silva DR. Prevalencia de tabaquismo y efectos sobre los resultados del tratamiento en pacientes con tuberculosis. Rev Assoc Med Bras [Internet]. 2021 Mar [citado 2023 Abr 20];67(3):406-10. Disponible en: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302021000400406&tlng=enLinks ]

22. Song W mei, Li S jin, Liu J yue, Fu Q, Xu T ting, Tao NN, et al. Impact of alcohol drinking and tobacco smoking on the drug-resistance of newly diagnosed tuberculosis: a retrospective cohort study in Shandong, China, during 2004-2020. BMJ Open [Internet]. 2022 Jul [citado 2023 Apr 16];12(7):e059149. Disponible en: https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2021-059149Links ]

23. Ugarte-Gil CA. Tuberculosis: Un enfoque de Derechos Humanos. 2009; Disponible en: http://www.scielo.org.pe/pdf/amp/v26n1/a12v26n1.pdfLinks ]

24. Sultana ZZ, Hoque FU, Beyene J, Akhlak-Ul-Islam Md, Khan MHR, Ahmed S, et al. HIV infection and multidrug resistant tuberculosis: a systematic review and meta-analysis. BMC Infect Dis [Internet]. 2021 dic [citado 2023 abr 28];21(1):51. Disponible en: https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-020-05749-2Links ]

25. Jeon CY, Murray MB. Diabetes Mellitus Increases the Risk of Active Tuberculosis: A Systematic Review of 13 Observational Studies. Williams B, editor. PLoS Med [Internet]. 2008 Jul 15 [citado 2023 Apr 28];5(7):e152. Disponible en: https://dx.plos.org/10.1371/journal.pmed.0050152Links ]

26. Salindri AD, Kipiani M, Kempker RR, Gandhi NR, Darchia L, Tukvadze N, et al. Diabetes Reduces the Rate of Sputum Culture Conversion in Patients With Newly Diagnosed Multidrug-Resistant Tuberculosis. Foro abierto de enfermedades infecciosas [Internet]. 2016 May 1 [citado 2023 Apr 28];3(3):ofw126. Disponible en: https://academic.oup.com/ofid/article/doi/10.1093/ofid/ofw126/2593268Links ]

27. Hamada Y, Getahun H, Tadesse BT, Ford N. HIV-associated tuberculosis. Int J STD AIDS [Internet]. 2021 Aug [citado 2023 Apr 28];32(9):780-90. Available from: http://journals.sagepub.com/doi/10.1177/0956462421992257Links ]

28. Pop LG, Department of Obstetrics and Gynecology, Alessandrescu-Rusescu National Institute for Mother and Child Health, Bucarest, Rumanía, * Corresponding Author: Lucian Pop, MD, Departamento de Obstetricia y Ginecología, Instituto Nacional Alessandrescu-Rusescu de Salud Materno-Infantil, Bucarest, Rumanía. Teléfono: +40741044720 Correo electrónico: popluciangh@icloud.com, Bacalbasa N, Departamento de Obstetricia y Ginecología, Instituto Nacional Alessandrescu-Rusescu de Salud Maternoinfantil, Bucarest, Rumanía, Centro de Excelencia en Medicina Traslacional, Instituto Clínico Fundeni, Bucarest, Rumanía, et al. Tuberculosis in pregnancy. JMedLife [Internet]. 2021 Mar [citado 2023 Apr 28];14(2):165-9. Disponible en: https://medandlife.org/wp-content/uploads/6.-jml-2021-0001.pdfLinks ]

29. Hussein MM, Mooij JM, Roujouleh H. Tuberculosis and Chronic Renal Disease: TB AND CHRONIC RENAL DISEASE. Seminars in Dialysis [Internet]. 2003 Jan 20 [citado 2023 Apr 28];16(1):38-44. Available from: http://doi.wiley.com/10.1046/j.1525-139X.2003.03010.xLinks ]

30. Luczynski P, Poulin P, Romanowski K, Johnston JC. Tuberculosis and risk of cancer: A systematic review and meta-analysis. Duell EJ, editor. PLoS ONE [Internet]. 2022 Dec 30 [citado 2023 Apr 28];17(12):e0278661. Disponible en: https://dx.plos.org/10.1371/journal.pone.0278661Links ]

31. Chiang SS, Brooks MB, Jenkins HE, Rubenstein D, Seddon JA, van de Water BJ, et al. Concordance of Drug-resistance Profiles Between Persons With Drug-resistant Tuberculosis and Their Household Contacts: A Systematic Review and Meta-analysis. Enfermedades Infecciosas Clínicas [Internet]. 2021 Jul 15 [citado 2023 Apr 28];73(2):250-63. Disponible en: https://academic.oup.com/cid/article/73/2/250/5843623Links ]

32. Bayona J, Chavez-Pachas AM, Palacios E, Llaro K, Sapag R, Becerra MC. La investigación de contactos como medio de detección y tratamiento oportuno de personas con tuberculosis infecciosa multirresistente. [ Links ]

33. Parr JB, Mitnick CD, Atwood SS, Chalco K, Bayona J, Becerra MC. Concordance of Resistance Profiles in Households of Patients With Multidrug-Resistant Tuberculosis. Enfermedades Infecciosas Clínicas [Internet]. 2014 Feb 1 [citado 2023 Apr 28];58(3):392-5. Disponible en: https://academic.oup.com/cid/article-lookup/doi/10.1093/cid/cit709Links ]

34. Velen K, Shingde R, Ho J, Fox G. The effectiveness of contact investigation among contacts of tuberculosis patients: a systematic review and meta-analysis. European Respiratory Journal [Internet]. 2021;58. Disponible en: https://erj.ersjournals.com/content/58/6/2100266Links ]

35. Osei E, Oppong S, Der J. Trends of tuberculosis case detection, mortality and co-infection with HIV in Ghana: A retrospective cohort study. Spigelman M, editor. PLoS ONE [Internet]. 2020 Jun 24 [citado 2023 Apr 28];15(6):e0234878. Disponible en: https://dx.plos.org/10.1371/journal.pone.0234878Links ]

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8Article published by the Journal of the faculty of Human Medicine of the Ricardo Palma University. It is an open access article, distributed under the terms of the Creatvie Commons license: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/1.0/), that allows non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited. For commercial use, please contact revista.medicina@urp.edu.pe.

Received: April 19, 2023; Accepted: July 17, 2023

Correspondence author's name and surname: Jorge Roberto Mosqueira Sánchez Address: Servicio de Medicina Interna, Hospital María Auxiliadora, Lima, Perú. Av. Miguel Iglesias 968, San Juan de Miraflores, 15801 Phone: +51 936421808 E-mail:jorge.mosqueira@urp.edu.pe

Acknowledgments: The authors carried out the conception, data collection, writing, data analysis and bibliographic search and approved the final version.

Conflict of Interest: The authors declare that they have no conflict of interest in the publication of this article.

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