Background This study aimed to demonstrate that having clinical pharmacist as a member of oncology team in low and middle income countries might lead to significant reduction in the number of erlotinib interactions in the treatment of non-small cell lung cancer patients. Methods A group of 44 patients was labeled as intervention group and they were analyzed prospectively in the period from 1 January 2017 to 1 May 2018 during clinical pharmacist’s participation in regular weekly multidisciplinary oncology team meetings. The control group consisted of 44 out of 110 patients treated with erlotinib before the involvement of a clinical pharmacist in oncology team, match paired with 44 patients in intervention group. Results Clinically significant interactions were identified in two-thirds of studied patients (57 out of 88). Most drug interactions, 38%, potentially result in decrease of serum concentration of erlotinib. Clinical pharmacist provided therapy modification suggestions for 32 out of 44 (72.72%) patients in the intervention group, most of which were accepted by doctors. In the intervention group, there were significantly less clinically significant interactions compared to the control group (10 versus 24, p = 0.002). Progression-free survival was significantly longer in the pharmacist’s intervention group (p = 0.001). Conclusions Clinical pharmacist’s intervention led to significant decrease in erlotinib interactions which may result in treatment optimization of lung cancer patients.
Higher levels of ET-1 in dialysis patients over healthy subjects is associated with lower parameters of lung function tests. A possible pathophysiological mechanism for deterioration of pulmonary function might be explained by progression of inflammation, pulmonary oedema also known as "uraemic lung" or/and the progression of pulmonary hypertension.
Administration of rhTSH in the follow-up of patients with DTC prevents the debilitating effects of hypothyroidism contributing to the maintenance of metabolic homeostasis of the organism and preserves the quality of life. RhTSH is safe, effective and easy to use, but is still an expensive product in our country.
Introduction: Since December 2019, the humanity is constantly under affection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite global dissemination, neither the treatment or the specific predictive factors have been found or strictly defined yet. Aim: Aim of this study was to assess the long-term (1 year) predictive value of high-sensitive Troponin T (hsTnT) in COVID-19 affected, hospitalised patients. Methods: Between 5 March 2020 and 31 March 2020, 87 consecutive patients hospitalised at University Clinical Centre of the Republic of Srpska due to SARS-CoV2caused pneumonia, in whom hsTnT was measured, were included. The Kaplan-Meier analysis was used to assess differences in all-cause mortality between the groups. Independent predictors of all-cause mortality were identified through univariateand multivariate Cox regression analysis. Results: Compared with patients who had normal hsTnT levels, patients with raised hsTnT were significantly older (70.7 ± 13.23 vs 49 ± 15.29; p < 0.001). Glucose values were significantly increased in patients with raised hsTnT (9.29 ± 5.14 vs 6.76 ± 2.46 [4.1-5.9] mmol/L; p = 0.005), as well as serum creatinine (179.07 ± 225.58 vs 87.53 ± 18.16 µmol/L; p = 0.01), hsTnT (187.43 ± 387.29 vs 7.58 ± 3.40 pg/mL; p = 0.003), D-dimer (5.94 ± 13.78 vs 1.04 ± 1.26 [0-0.50] mg/L; p = 0.024), C-reactive protein (125.92 ± 116.82 vs 69.97 ± 73.09) [< 5.0] mg/L; p = 0.009) and calcium (1.32 ± 0.46 vs 1.03 ± 0.173 [2.20-2.65] mmol/L; p = 0.001). Kaplan-Meier analysis revealed that the number of all-cause deaths at 1 year was 19 of whom 18 were presented with elevated hsTnT (log-rank p < 0.001). When univariate Cox regression was applied, multiple predictors of all-cause mortality have been identified ie age, haemoglobin, haematocrit, urea, CK-MB as well as hsTnT. In a multiple regression model, hsTnT remained an independent predictor of poor outcome. Conclusion: Results from this study showed that the value of hsTnT during hospitalisation is possibly associated with long-term poor outcome of COVID-19 patients. Therefore, hsTnT may appear as a surrogate factor to differentiate between patients at high risk who need more intensive follow-ups.
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