Skip to main content

Main menu

  • Home
  • Content
    • Latest
    • Archive
    • home
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
    • Join SMJ
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Advertising
    • Alerts
    • Feedback
    • Folders
    • Help
  • Other Publications
    • NeuroSciences Journal

User menu

  • My alerts
  • Log in

Search

  • Advanced search
Saudi Medical Journal
  • Other Publications
    • NeuroSciences Journal
  • My alerts
  • Log in
Saudi Medical Journal

Advanced Search

  • Home
  • Content
    • Latest
    • Archive
    • home
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
    • Join SMJ
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Advertising
    • Alerts
    • Feedback
    • Folders
    • Help
  • Follow psmmc on Twitter
  • Visit psmmc on Facebook
  • RSS
Research ArticleOriginal Article
Open Access

Prevalence and outcome of isoniazid-monoresistant tuberculosis at a university hospital in Saudi Arabia

Khalifa M. Binkhamis, Mohammed A. Bahatheg, Faisal A. Altahan, Saleh S. Alwakeel, Khalid A. Almutairi, Abdullah F. Alsaeed, Dalal A. Alkadi, Hanan A. Alshafai, Fahad M. Almajid and Mazin A. Barry
Saudi Medical Journal June 2021, 42 (6) 636-642; DOI: https://doi.org/10.15537/smj.2021.42.6.20200832
Khalifa M. Binkhamis
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
MBBS, FRCPC
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
Mohammed A. Bahatheg
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
Medical Student
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Faisal A. Altahan
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
Medical Student
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Saleh S. Alwakeel
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
Medical Student
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Khalid A. Almutairi
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
Medical Student
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Abdullah F. Alsaeed
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
Medical Student
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dalal A. Alkadi
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
MBBS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hanan A. Alshafai
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
MBBS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fahad M. Almajid
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
MBBS, FRCPC
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mazin A. Barry
From the Department of Pathology (Binkhamis, Alkadi, Alshafai), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from the Infectious Diseases Unit, Department of Medicine (Almajid, Barry), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; from King Saud University Medical City (Binkhamis, Alkadi, Alshafai, Almajid, Barry), King Saud University, Riyadh, Kingdom of Saudi Arabia; from the College of Medicine (Bahatheg, Altahan, Alwakeel, Almutairi, Alsaeed), King Saud University, Riyadh, Kingdom of Saudi Arabia.
MBBS. FRCPC
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • References
  • PDF
Loading

Abstract

Objectives: To determine the prevalence and outcome in patients with isoniazid-monoresistant Mycobacterium tuberculosis complex and compare them to those in patients with non-isoniazid-monoresistant Mycobacterium tuberculosis.

Methods: This cross-sectional analytical study was conducted at King Khalid University Hospital, Riyadh, Saudi Arabia. The data were retrospectively collected from the electronic medical records of patients who tested positive for Mycobacterium tuberculosis between May 2015 and April 2019.

Results: We identified 105 patients infected with Mycobacterium tuberculosis. The prevalence proportion of isoniazid-monoresistant tuberculosis was 8.6% (n=9). Five patients with isoniazid-monoresistant tuberculosis (55.6%) were successfully treated, while one patient died. In the nonresistant population, 51 (53.1%) patients were successfully treated. However, 12 (12.5%) patients with no isoniazid resistance had an unsuccessful treatment outcome. The resistant group had a longer treatment duration with a mean of 12 months compared to the non-isoniazid-resistant group, with a mean treatment duration of 9.5 months. Twenty-eight patients (26.7%) had adverse events, with the majority of them being in the non-isoniazid-resistant group.

Conclusion: Isoniazid monoresistance is the most common form of drug resistance found in our population. Our study has not shown any significance in the outcome of isoniazid-resistant cases compared to non-isoniazid-resistant cases. This may be due to the low number of isoniazid-monoresistant cases in our population.

  • Mycobacterium tuberculosis
  • isoniazid
  • drug resistance
  • prevalence
  • patient outcome assessment

Among the biggest consequential public health concerns worldwide is tuberculosis (TB). The global economic burden of TB from prevention to diagnosis and treatment is still increasing and has doubled since 2006.1 The latest World Health Organization (WHO) TB report has shown that 119 low and medium-income countries which constitute 97% of cases worldwide had funding that amounted to 6.8 billion USD in 2019. However, even these efforts consist only 67% of that 10.1 billion USD required in the global plan to end TB.1

Approximately, 10 million individuals globally had TB in 2018. The burden of the disease significantly varies among countries, ranging from less than 5 to more than 500 new cases per 100,000 population annually, with a global average of approximately 130.1

According to the latest WHO report, “one of the top 10 causes of death” is TB. Which is also the leading single infectious agent cause of death, ranking above human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome. In 2018, HIV-negative patient mortality as a consequence of TB constituted approximately 1.2 million.1 A more concerning problem that arises with TB is the emergence of multidrug-resistant (MDR) TB, which has increasing incidence. In Saudi Arabia, the current standard therapy for TB is rifampicin (RIF), isoniazid (INH), pyrazinamide (PZN), and ethambutol (EMB) for 2 months, followed by rifampicin and isoniazid for the remaining duration of treatment in pansensitive TB.2 According to the WHO 2019 TB report: “There was some progress in testing and detection and treatment of MDR and RIF-resistant (RR) TB between 2017 and 2018. Globally, in 2018, 51% of individuals with bacteriologically confirmed TB were tested for RIF resistance, from 41% in 2017”.1 The coverage of testing was 46% for new patients and 83% for previously treated patients with TB. A global total of 160,684 cases of MDR and RIF-resistant Mycobacterium TB complex (MTB) were reported in 2017. Of these, 139,114 cases started treatment. This number increased to 186,772 cases in 2018; of these, 156,071 cases started treatment.1 The incidence of MDR MTB in Saudi Arabia was approximately 6.7%. However, estimations of the incidence of MDR MTB in our region vary in relation to the study period, percentage of included non-Saudi patients, and specific study region.3 In addition, monodrug-resistant cases were shown to be more common than before. One crucial example is INH-monoresistant MTB. Its prevalence ranged from 2% to >20% in previously untreated patients worldwide and averaged 10% among all new cases.3 As shown in the WHO country profile for TB, the estimated incidence of TB in Saudi Arabia in 2018 is 3400 (2,900-3,900) or 10 (8.7-12) per 100,000 population, with an MDR/RR-TB incidence of 87 (64-110) or 0.3 (0.2-0.3) per 100,000 population. Moreover, the proportion approximated among patients who possessed MDR or RR TB was 2.6% (2-3.2) for new cases and 2.6% (2-3.2) for previously treated cases. Data on INH monoresistance is limited.4

According to a previous retrospective study, which was conducted in Riyadh, Saudi Arabia, King Khalid University Hospital (KKUH), a total of 568 MTB cases were analyzed between January 2003 and December 2010 and showed monoresistance to INH (11%), followed by RIF (7%) and EMB (2%).5 A study at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, focused on investigating the trends of resistance to the current standard anti-TB regimen and revealed the monoresistance proportion to INH was 1%, to PZN was 11.9%, and to RIF was 2%.6 Furthermore, RIF monoresistance is rare worldwide and is usually associated with MDR TB.7

Recent literature has shown INH monoresistance increased the likelihood of failure in treatments and relapse in patients treated with first-line anti-TB regimens.3 As INH is one of the main therapies used to treat latent tuberculosis infection (LTBI) in Saudi Arabia, and with a high prevalence proportion of 24% among healthcare workers,8 determining the prevalence of INH monoresistance is vital to know the nationwide substitution of INH with rifampin in the treatment of LTBI to help prevent further burden of TB.9 Determining the prevalence and the outcome of patients infected with monoresistant MTB compared with those with pansensitive MTB in KKUH were our primary objectives. This study can help reduce the knowledge gap in INH-monoresistant MTB and encourage further studies on this subject, which may guide further trends in resistance patterns for TB within the Middle East and help guide clinicians in the treatment of these cases.1

Methods

This is a cross-sectional study in which data were retrospectively collected from hospital records between May 2015 to April 2019 in KKUH, a tertiary care university hospital in Riyadh, Saudi Arabia. It provides outpatient, inpatient, cardiac, and intensive care services. Using Pubmed and Google Scholar, we searched for relevant published papers on our topic to conduct our literature review and utilized said papers in our discussion. The approval for this study was obtained from the university’s Institutional Review Board (IRB) on December 8, 2019 (IRB number: E-19-4406). A total of 105 patients were included in this study. The inclusion criteria for this study was a positive culture for MTB between May 2015 and April 2019, while patients with positive mycobacteria cultures other than MTB were excluded. The following variables were collected from the patients’ medical records: age at time of diagnosis, gender, residence, nationality, comorbidities, HIV status, site of infection, isolate, result of culture, date of admission, date of discharge, length of hospitalization, date of collection, date of treatment initiation, antibiotic resistance, level of INH monoresistance, treatment regimen, duration of treatment, previous treatment for TB, treatment adverse events, and clinical outcomes.The important key definitions mentioned in the study are listed in Table 1.

View this table:
  • View inline
  • View popup
Table 1

- Key definitions.

For ethical reasons, all participants’ confidentiality was ensured by assigning a code number to each participant solely for the purpose of research. Furthermore, patient files were not exchanged or disclosed to others outside of the research group.

Microbiological workup

Respiratory samples included in our study were sputum, bronchoalveolar lavage, endotracheal aspirate, and pleural fluid. Extrapulmonary samples included were tissue biopsy, sterile body fluids, cerebrospinal fluid (CSF), peritoneal fluid, pus, and gastric aspirates.

Nonsterile samples were decontaminated before processing. The samples were screened with microscopy by auramine-rhodamine and modified Ziehl-Neelsen stains and cultured in BACTEC™ MGIT™ 960 liquid medium (Becton Dickinson, New Jersey, United States) and Lowenstein-Jensen solid media. Samples were also processed with the Xpert MTB/RIF (Cepheid Inc., California, USA) assay for differentiation between MTB strains and nontuberculous mycobacteria and identification of RIF resistance through detection of mutation in the rpoB gene. Susceptibility testing was performed for the following anti-TB drugs: Streptomycin (STM), INH, RIF, EMB, and PZN using BACTEC™ MGIT™ 960 SIRE and PZA Kits (Becton Dickinson, New Jersey, United States), following the manufacturer instructions. However, not all patients’ samples underwent PZN susceptibility testing since it was not routinely available during the study period. In addition, the BACTEC™ MGIT™ 960 SIRE Kit (Becton Dickinson, New Jersey, United States) was used to identify the resistance level of INH and was categorized into either high resistance (0.4) or low resistance (0.1).

Statistical analysis

Treatment regimens, patient characteristics, comorbidities, duration, and clinical outcomes were analyzed by SPSS version 25.0 statistical software for Mac OS, with a significance level determined in reference to a 2-tailed, type I error (p-value) <0.05. Descriptive statistics (mean, median, standard deviation, frequencies, and percentages) were used to describe the quantitative and categorical variables. Also, logistical regression was carried out to assess if there is an association between patient comorbidities and INH monoresistance.

Results

A total of 105 patients were included in this study. The patterns of association were analyzed between those patients and different variables, such as age, gender, site of infection, and comorbidities. Table 2 describes the baseline characteristics of patients. Of 105 patients, 68 (64.8%) were male, and 37 (35.2%) were female. An overwhelming majority of patients were Saudi nationals (n=85, 81%), while 19 were non-Saudis (18.1%). A majority of patients were in the 21-40 years age group (n=47, 44.8%), followed by the 41-60 years (n=25, 23.8%), and 61-90 years (n=24, 22.9%) age groups, with a median age of 38. Diabetes mellitus (n=28, 26.7%) was the most common comorbidity in our patients, followed by hypertension (n=22, 21%), and ischemic heart disease (n=8, 7.6%). Only one (1%) patient with HIV was identified. Seven patients had malignancies (6.7%) and 5 (4.8%) who have been immunosuppressed by the use of biological therapy or pharmacotherapy. Other less common comorbidities were categorized together (n=30, 28.6%), such as bronchial asthma, atrial fibrillation, and hypothyroidism. Fifty (47.6%) had no comorbidities. Most patients did not receive any previous treatments (n=99, 94.3%). We found that the most common type of infection was pulmonary (n=39, 37.1%), followed by extrapulmonary (n=34, 32.4%), and disseminated infection (n=26, 24.8%). Six (5.7%) patients had an unknown site of infection due to poor documentation.

View this table:
  • View inline
  • View popup
Table 2

- Demographic and clinical characteristics of subjects (N=105).

Most patients (n=91) were pansensitive to anti-TB medications, as shown in Table 3. Isoniazid was the most common antibiotic monoresistance (n=9), followed by STM (n=3). There was also one case of EMB resistance, and one case of MDR MTB. No patient had mono-RIF resistance or mono-PZN resistance or XDR-TB.

View this table:
  • View inline
  • View popup
Table 3

- Frequency and distribution of antibiotic resistance (N=105).

From our population of patients with INH monoresistance (n=9), 7 had low resistance levels. The age of patients with INH monoresistance was summarized in Table 4. The median age of patients with INH resistance was 40. Moreover, most patients with INH monoresistance had disseminated TB. No patient with INH monoresistance had malignancies or had been immunosuppressed (Table 4).

View this table:
  • View inline
  • View popup
Table 4

- Frequency and distribution of isoniazid resistance (N=9).

The summary of treatment outcomes is listed in Table 5. After completing the course of treatment, a total of 56 (53.3%) patients met the definition of successful treatment. Of the population with INH monoresistance, 5 (55.6%) patients had a successful treatment outcome. Similarly, of the population with non-resistance, 51 (53.1%) showed a successful treatment outcome.

View this table:
  • View inline
  • View popup
Table 5

- Outcomes between patients with isoniazid-monoresistant and those with non-isoniazid resistance (n=105).

A total of 13 (12.4%) patients met the definition of unsuccessful treatment. Of the population with INH monoresistance, one patient showed an unsuccessful treatment outcome with that outcome being death. Twelve (12.5%) patients with nonresistance also showed unsuccessful treatment outcomes. Eight with no resistance died and 4 had relapses. Moreover, a total of 36 (34.3%) patients had no follow-up records, with 3 (33.3%) in the INH-monoresistant group, and 33 (34.4%) patients with nonresistance. The duration of treatment in months is also summarized in Table 5. The resistant group had 3 patients who had a 7-9 month treatment duration, 2 patients with 10-12 months, and one patient with >12 months of treatment. Alternatively, the majority of the nonresistant group had 7-9 months of treatment. However, in contrast to the resistant group, 15 patients had 1-6 months of treatment, 9 patients had 10-12 months of treatment, and 7 patients had >12 months of treatment. Furthermore, the resistant group has a mean treatment duration of 12 months with a standard deviation of 6, while the nonresistant group had a significantly shorter treatment duration, with 9.5 months and a standard deviation of 3.7.

As for adverse events, Table 5 summarized the INH-monoresistant group. One patient was positive for HIV and had no resistance to any anti-TB medication. However, the patient died after a long treatment duration that exceeded 12 months. Binary logistic regression was carried out to assess the association between comorbidities and INH-monoresistance, and no statistically significant association was found.

Finally, the changes of INH-resistant and non-resistant cases throughout the study period can be visualized in Figure 1.

Figure 1
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1

- *Samples collected from 1st of May 2015 to 30th of April 2019. INH: isoniazid, TB: tuberculosis

Discussion

In our study, we found that the prevalence of INH-monoresistant MTB was 8.6% (n=9). Our findings are similar to the international prevalence of INH monoresistance (8.6% vs 7.4%).10 However, our prevalence was lower compared to previous local studies (8.6% vs 10%). A potential reason for this finding is the small sample size, compared to the larger sample pool of 2015, in the systematic review study that estimated prevalence proportion of 10.13% for INH monoresistance.11 Another potential reason is the improvements in the quality of the healthcare system and accumulated knowledge for the treatment of TB. Moreover, we found that our prevalence proportion is lower than those in other regions in Saudi Arabia such as in Jeddah (8.6% vs 28.7%),12 Jizan (8.6% vs 41%),13 and the Eastern region (8.6% vs 9.8%);14 but, higher than the prevalence proportion in Taif (8.6% vs 6.5%).13

The treatment outcome for patients with INH monoresistance was highly variable with other study results.3 Previous studies suggested that INH monoresistance increases the likelihood of treatment failure.3 However, in this study, both patients with INH monoresistance and patients with nonresistance had the same percentage of unsuccessful treatment. The length of hospitalization was longer in patients with nonresistance, which also conflicts with other studies. Moreover, the majority of side effects were noted in nonresistant cases. However, longer treatment duration was observed for patients with INH monoresistance, which is consistent with other studies.3

Treatment regimens were adjusted based on adverse effects and physicians’ preferences. Regimens were also frequently extended. We had a total of 28 (26.7%)patients who had side effects. Contrary to other studies, the majority of side effects were noted in nonresistant cases as there were 25 (26%) patients with non-INH monoresistance who had side effects compared to only 3 (33.3%) patients with INH monoresistance. Similar to other reports, hepatotoxicity was common among patients.3 The resistant group had one (11.1%) patient, while the nonresistant group had 12 (12.2%) patients who had drug-induced hepatitis.

Similar to other studies, the treatment duration varied between patients with INH monoresistance, with the majority of patients having a treatment duration ranging between 7 and 12 months.15

Moreover, this study showed that patients with drug-susceptible MTB could have an adverse outcome similar to patients with INH monoresistance.

Study limitation

A significant limitation to this study was noted in the data collection process. The electronic health record had poor documentation. Additionally, our inability to control confounding variables, such as age and comorbidities, for assessing patients’ outcomes. Furthermore, not all patients underwent PZN susceptibility testing due to the limited availability of testing kits. Although our study included a small number of patients with INH monoresistance, with KKUH being a large tertiary care center receiving multiple patients from various regions with similar genetic and geographical backgrounds, the results from this study can be generalized to other centers in the region.

The implications explored in this study can help future regional and global tuberculosis surveillance studies. Moreover, this study can be used in future systematic reviews to assess the use of anti-TB medications with INH monoresistance and treatment outcome and their treatment outcome.

In conclusion, INH monoresistance is the most prevalent type of resistance to medications for the anti-TB regimen found in our population. Our study has not shown any substantial significance in the outcome variant compared to nonresistant cases. This observation may be attributable to our population’s limited number of INH-monoresistant cases. A more extensive study with abundant INH-monoresistant cases is required to establish further association between the level of INH monoresistance and outcome.

Acknowledgment

The authors want to express their gratitude to the Deanship of Scientific Research and RSSU, King Saud University, Riyadh, Saudi Arabia for their technical support. The author also acknowledge Enago (www.enago.com) for English language editing.

Footnotes

  • Disclosure. Disclosure. Authors have no conflict of interests, and the work was not supported or funded by any drug company.

  • Received December 31, 2020.
  • Accepted March 19, 2021.
  • Copyright: © Saudi Medical Journal

This is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work.

References

  1. 1.↵
    World Health Organization. Global tuberculosis report 2019. [Internet] Geneva (SW): World Health Organization; [Updated 2019. Cited 2020 Sept 24]. Available from: https://www.who.int/publications/i/item/global-tuberculosis-report-2019
  2. 2.↵
    1. Metry AM,
    2. Al Salmi I,
    3. Al-Abri S,
    4. Al Ismaili F,
    5. Al Mahrouqi Y,
    6. Hola A, et al.
    Epidemiology and outcome of tuberculosis in immunocompromised patients. Saudi J Kidney Dis Transpl 2017; 28: 806–817.
    OpenUrl
  3. 3.↵
    1. Gegia M,
    2. Winters N,
    3. Benedetti A,
    4. van Soolingen D,
    5. Menzies D.
    Treatment of isoniazid-resistant tuberculosis with first-line drugs: a systematic review and meta-analysis. Lancet Infect Dis 2017; 17: 223–234.
    OpenUrlCrossRef
  4. 4.↵
    World Health Organization. Tuberculosis Country Profiles online tool. [Updated 2019. Cited 2020 Sept 24]. Available from: https://worldhealthorg.shinyapps.io/tb_profiles/?_inputs_&lan=%22EN%22&iso2=%22SA%22
  5. 5.↵
    1. Somily AM,
    2. Naeem T,
    3. Habib HA,
    4. Sarwar MS,
    5. Kunimoto DY,
    6. Kambal AM.
    Changing epidemiology of tuberculosis detected by an 8-year retrospective laboratory study in a tertiary teaching hospital in central Saudi Arabia. Saudi Med J 2014; 35: 691–698.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Jiman-Fatani A,
    2. El-Hossary D,
    3. Eltahlawi RA.
    Mycobacterium tuberculosis complex: Detection and patterns of resistance to the first line anti-TB drugs at the King Abdulaziz University Hospital, Saudi Arabia. IAJAA 2016; 5: 2.
    OpenUrl
  7. 7.↵
    1. Gibson J,
    2. Donnan E,
    3. Eather G.
    Management of rifampicin mono-resistant tuberculosis in Queensland, Australia: a retrospective case series. Respirol Case Rep 2018; 6: e00366.
    OpenUrl
  8. 8.↵
    1. Almohaya A,
    2. Aldrees A,
    3. Akkielah L,
    4. Hashim AT,
    5. Almajid F,
    6. Binmoammar T, et al.
    Latent tuberculosis infection among health-care workers using Quantiferon-TB gold-plus in a country with a low burden for tuberculosis: prevalence and risk factors. Ann Saudi Med 2020; 40: 191–199.
    OpenUrl
  9. 9.↵
    1. Menzies D,
    2. Adjobimey M,
    3. Ruslami R,
    4. Trajman A,
    5. Sow O,
    6. Kim H, et al.
    Four months of rifampin or nine months of isoniazid for latent tuberculosis in adults. N Engl J Med 2018; 379: 440–453.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Dean AS,
    2. Zignol M,
    3. Cabibbe AM,
    4. Falzon D,
    5. Glaziou P,
    6. Cirillo DM, et al.
    Prevalence and genetic profiles of isoniazid resistance in tuberculosis patients: A multicountry analysis of cross-sectional data. PLoS medicine 2020; 17: e1003008.
    OpenUrl
  11. 11.↵
    1. Al-Tawfiq JA,
    2. Hinedi K,
    3. Memish ZA.
    Systematic review of the prevalence of Mycobacterium tuberculosis resistance in Saudi Arabia. J Chemother 2015; 27: 378–382.
    OpenUrl
  12. 12.↵
    1. Khan MY,
    2. Kinsara AJ,
    3. Osoba AO,
    4. Wali S,
    5. Samman Y,
    6. Memish Z.
    Increasing antimicrobial resistance of M. tb in a Saudi Arabia referral hospital. Int J Antimicrob Agents 2001; 17: 415–418.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Abu-Amero KK.
    Status of antituberculosis drug resistance in Saudi Arabia 1979-98. East Mediterr Health J 2002; 8: 664–670.
    OpenUrlPubMed
  14. 14.↵
    1. Chaudhry LA,
    2. Rambhala N,
    3. Al-Shammri AS,
    4. Al-Tawfiq JA.
    Patterns of antituberculous drug resistance in eastern Saudi Arabia: a 7-year surveillance study from 1/2003 to 6/2010. J Epidemiol Glob Health 2012; 2: 57–60.
  15. 15.↵
    1. Cattamanchi A,
    2. Dantes RB,
    3. Metcalfe JZ,
    4. Jarlsberg LG,
    5. Grinsdale J,
    6. Kawamura LM, et al.
    Clinical characteristics and treatment outcomes of patients with isoniazid-monoresistant tuberculosis. Clin Infect Dis 2009; 48: 179–185.
    OpenUrlCrossRefPubMed
  16. 16.
    World Health Organization. Definitions and reporting framework for tuberculosis–2013 revision. [Updated 2021. Cited 2020 Sept 24]. Available from: https://www.who.int/tb/publications/definitions/en/
  17. 17.
    1. Woods GL,
    2. Brown-Elliott BA,
    3. Conville PS,
    4. Desmond EP,
    5. Hall GS,
    6. Lin G, et al.
    Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes. 2nd ed. Wayne (PA): Clinical and Laboratory Standards Institute; March 2011.
  18. 18.
    1. Becton BD.
    Dickinson and Company Newsletter BD Bactec MGIT 960 SIRE kit now FDA-cleared for susceptibility testing of Mycobacterium tuberculosis. Microbiology News & Ideas. (Updated 2016. Updated 2016. Cited 2020 Feb 5) Available from URL: https://legacy.bd.com/ds/technicalCenter/inserts/8008200(04).pdf
PreviousNext
Back to top

In this issue

Saudi Medical Journal: 42 (6)
Saudi Medical Journal
Vol. 42, Issue 6
1 Jun 2021
  • Table of Contents
  • Cover (PDF)
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Saudi Medical Journal.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Prevalence and outcome of isoniazid-monoresistant tuberculosis at a university hospital in Saudi Arabia
(Your Name) has sent you a message from Saudi Medical Journal
(Your Name) thought you would like to see the Saudi Medical Journal web site.
Citation Tools
Prevalence and outcome of isoniazid-monoresistant tuberculosis at a university hospital in Saudi Arabia
Khalifa M. Binkhamis, Mohammed A. Bahatheg, Faisal A. Altahan, Saleh S. Alwakeel, Khalid A. Almutairi, Abdullah F. Alsaeed, Dalal A. Alkadi, Hanan A. Alshafai, Fahad M. Almajid, Mazin A. Barry
Saudi Medical Journal Jun 2021, 42 (6) 636-642; DOI: 10.15537/smj.2021.42.6.20200832

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Prevalence and outcome of isoniazid-monoresistant tuberculosis at a university hospital in Saudi Arabia
Khalifa M. Binkhamis, Mohammed A. Bahatheg, Faisal A. Altahan, Saleh S. Alwakeel, Khalid A. Almutairi, Abdullah F. Alsaeed, Dalal A. Alkadi, Hanan A. Alshafai, Fahad M. Almajid, Mazin A. Barry
Saudi Medical Journal Jun 2021, 42 (6) 636-642; DOI: 10.15537/smj.2021.42.6.20200832
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Acknowledgment
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Hematological parameters in recent and past dengue infections in Jazan Province, Saudi Arabia
  • Longitudinal analysis of foodborne disease outbreaks in Saudi Arabia
  • Psychological stress and its association with bronchial asthma in Saudi Arabia
Show more Original Article

Similar Articles

Keywords

  • Mycobacterium tuberculosis
  • isoniazid
  • drug resistance
  • prevalence
  • patient outcome assessment

CONTENT

  • home

JOURNAL

  • home

AUTHORS

  • home
Saudi Medical Journal

© 2025 Saudi Medical Journal Saudi Medical Journal is copyright under the Berne Convention and the International Copyright Convention.  Saudi Medical Journal is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. Electronic ISSN 1658-3175. Print ISSN 0379-5284.

Powered by HighWire