3 research outputs found

    Value of neutrophil/lymphocyte ratio in the differential diagnosis of sarcoidosis and tuberculosis

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    Introduction: The differential diagnosis of sarcoidosis creates a challange due to tuberculosis also having lung and lymph node involvement. Because both diseases show granulomatous inflammation, it may not be possible to distinguish tuberculosis and sarcoidosis in pathological specimens. As a result of the complexity in the differential diagnosis of sarcoidosis and tuberculosis, new markers for differentiation are being investigated. Objective: The aim of our study is to investigate the value of neutrophil/lymphocyte ratio (NLR) as a possible marker in differentiating sarcoidosis and tuberculosis. Materials and Methods: In our study, 51 acid-fast bacilli (AFB) positive and/or culture-positive patients with pulmonary tuberculosis, ​​40 patients with biopsy-proven sarcoidosis and a control group consisting of 43 patients were included. In our study, information was collected retrospectively based on hospital records. Results: Leukocyte and neutrophil counts, NLR, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) were significantly higher, and albumin was significantly lower in the tuberculosis group compared with sarcoidosis (for all parameters P < 0.001). The most appropriate cut-off value of NLR to distinguish tuberculosis from sarcoidosis was determined as 2.55. For this cut-off value of NLR there was 79% sensitivity, 69% specificity, 73% positive predictive value (PPV), 75% negative predictive value (NPV), and area under the curve (AUC) was 0.788. For differentiation of sarcoidosis from tuberculosis, accuracy of the NLR test according to this cut-off value was found as 76%. Conclusion: NLR as a little known marker in respiratory medicine was found to be supportive in differentiation of tuberculosis and sarcoidosis. More studies on this issue is needed

    Prevalence and outcomes of comorbid illnesses in elderly patients with respiratory diseases

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    Aim: The aim of the present study was to determine the prevalence of comorbidities in very elderly patients hospitalized as a result of acute respiratory diseases and to analyze sex-specific differences, and to examine the effects of these comorbidities on their treatment outcomes

    Management of Polydrug-Resistant Tuberculosis

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    Background and Objectives: There is a lack of information regarding the effective duration of treatment necessary to prevent the development of acquired resistance when fluoroquinolones (FQ), and/or pyrazinamide (Z) resistance has occurred in patients with polydrug-resistant tuberculosis and isoniazid resistance. The management of these kinds of patients should be carried out in experienced centers according to drug susceptibility test results, clinical status of the patient and the extensity of the disease. Materials and Methods: We evaluated treatment regimens, treatment outcomes, and drug adverse effects in seven patients with polydrug-resistant tuberculosis, including those with Z and/or FQ resistance in a retrospective analysis Results: Regarding the patients with polydrug-resistant tuberculosis in addition to isoniazid (H) resistance, three had Z, two had FQ, and the remaining two had both Z and FQ resistance. In the intensive phase of the treatment, the patients were given at least four drugs according to drug susceptibility tests, and at least three drugs in the continuation phase. The duration of treatment was 9–12 months. Two of the patients were foreign nationals, and could not be followed up with due to returning to their home countries. Regarding the remaining five patients, three of them were terminated as they completed treatment, and two as cured. No recurrence was observed in the first year of the treatment. The most common, and serious drug side effect was seen for amikacin. Conclusions: In patients with polydrug-resistant TB, if Z and/or FQ resistance is detected in addition to H resistance, the treatment of these patients should be conducted on a case-by-case basis, taking into account the patient’s resistance pattern, clinical condition, and disease prognosis. Close monitoring of the side effects will increase the success rate of the treatment
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