scholarly journals Therapeutic follow-up of postoperative patients on tramadol in the intensive care unit a tertiary African hospital: a cohort study

Author(s):  
Metogo Mbengono Junette Arlette ◽  
Owono Etoundi Paul ◽  
Amengle Albert Ludovic ◽  
Nguidjoe Evrad Marcel ◽  
Metogo Ntsama Junie Annick ◽  
...  

Background: Tramadol, an analgesic, is a prodrug requiring bioactivation through cytochrome P450 enzymes (CYP450) to obtain O-desmethyltramadol (M1), its active metabolite. However, little is known on the African pharmacogenetic profile of tramadol metabolism. Hence, we aimed to study the biological efficacy of tramadol in an African population.Methods: This was a prospective cohort study over a 3-month period carried out at intensive care unit of a Cameroonian tertiary hospital. We enrolled patients with moderate-to-severe pain surgery, who had not been administered drugs metabolized by CYP450. Immediately after surgery, 2 mg/kg of tramadol was administered intravenously every 6 hours. Pain was assessed using the visual analog scale (VAS) within the first 24 hours. Vital signs and side effects were recorded. Plasma samples were collected at 3rd and 6th hours to assay tramadol and M1 using HPLC-UV.Results: We enrolled 30 patients with a mean age of 32 years operated for caesarean section, laparotomy and cancer surgery, under spinal and general anesthesia. Before administration of tramadol, the VAS was 6/10. The VAS decreased 4/10 to 1/10 between the 3rdand the 6th hour. There was a reduction of the respiratory rate of 3 breath cycles per minute as early as the 6th hour. Samples from 13 patients were analyzed. M1 was found in all patients; of which 4 had a slow metabolism and 3 had a faster metabolism.Conclusions: Overall there was good correlation between the clinical and biological analgesic efficacy of tramadol.

2018 ◽  
Vol 16 (2) ◽  
Author(s):  
Ana Carolina de Souza e Silva ◽  
Domingos Sávio de Carvalho Sousa ◽  
Eunice Bobô de Carvalho Perraud ◽  
Fátima Rosane de Almeida Oliveira ◽  
Bruna Cristina Cardoso Martins

ABSTRACT Objective: To describe and evaluate the pharmacotherapeutic follow-up by a clinical pharmacist in an intensive care unit. Methods: A descriptive and cross-sectional study carried out from August to October 2016. The data were collected through a form, and pharmacotherapeutic follow-up conducted by a clinical pharmacist at the respiratory intensive care unit of a tertiary hospital. The problems recorded in the prescriptions were quantified, classified and evaluated according to severity; the recommendations made by the pharmacist were analyzed considering the impact on pharmacotherapy. The medications involved in the problems were classified according to the Anatomical Therapeutic Chemical Classification System. Results: Forty-six patients were followed up and 192 pharmacotherapy-related problems were registered. The most prevalent problems were missing information on the prescription (33.16%), and those with minor severity (37.5%). Of the recommendations made to optimize pharmacotherapy, 92.7% were accepted, particularly those on inclusion of infusion time (16.67%), and dose appropriateness (13.02%), with greater impact on toxicity (53.6%). Antimicrobials, in general, for systemic use were drug class most often related to problems in pharmacotherapy (53%). Conclusion: Pharmacotherapeutic follow-up conducted by a pharmacist in a respiratory intensive care unit was able to detect problems in drug therapy and to make clinically relevant recommendations.


2020 ◽  
Author(s):  
Nahom Worku Teshager ◽  
Ashenafi Tazebew Amare ◽  
koku Tamirat

Abstract Background Pediatric intensive care unit (PICU) tremendously improves the success of saving patients having potentially life-threatening illness. An accurate estimate of lives saved through pediatric critical care intervention is important to evaluate the quality of the health care system. Data on pediatric critical care in developing countries remain scarce yet is much needed to improve clinical practices and outcomes. This study aimed to determine the incidence and predictors of mortality in the pediatric intensive care unit in the study setting.Method An institution based prospective cohort study was conducted from February 2018 to July 2019. We collected data by interview, chart and registration book review. Life table was used to estimate the cumulative survival of patients and Log rank test was used to compare survival curves between different categories of the explanatory variables. Survival trend over the follow up time was described using the Kaplan Meier graph. Bivariate and multivariate Cox proportional hazard model were used to identify predictors.Result Based on the 10 th version of international classifications of disease (ICD) of WHO, neurologic disorders (22.7%) infectious disease (18.8%) and environmental hazards (11.8%) account for the top three diagnoses. The median observation time was 3 days with IQR of 1 to 6 days. Of the total of 313 participants, 102 (32.6%) died during the follow-up time. This gives the incidence of mortality of 6.9 deaths per 100 person day observation. Caregivers’ occupation of government-employed (AHR=0.35, 95%CI: 0.14, 0.89), weekend admission (AHR=1.63, 95%CI: 1.02, 2.62), critical illness (AHR=1.79, 95%CI: 1.13, 2.85) Mechanical ventilation AHR=2.36,95%CI: 1.39, 4.01)and PIM2 score (AHR=1.53, 95%CI: 1.36, 1.72) were predictors of mortality in the pediatric ICU.Conclusion Neurologic disorder was the leading causes of admission followed by infectious diseases, and environmental hazards. Rate of mortality was high and admission over weekends, caregivers' occupation, mechanical ventilation, critical illness diagnosis, and higher PIM2 scores were found to be significant and independent predictors of mortality at the PICU. This suggests that ICU medical equipment, diagnostics, and interventions should be available up to the standard. Intensivist and full staffing around the clock has to be available in the PICU.


2020 ◽  
Author(s):  
Nahom Worku Teshager ◽  
Ashenafi Tazebew Amare ◽  
koku Tamirat

Abstract Background Pediatric intensive care unit (PICU) tremendously improves the success of saving patients having potentially life-threatening illness. An accurate estimate of lives saved through pediatric critical care intervention is important to evaluate the quality of the health care system. Data on pediatric critical care in developing countries remain scarce yet is much needed to improve clinical practices and outcomes. This study aimed to determine the incidence and predictors of mortality in the pediatric intensive care unit in the study setting.Method An institution based prospective cohort study was conducted from February 2018 to July 2019. We collected data by interview, chart and registration book review. Life table was used to estimate the cumulative survival of patients and Log rank test was used to compare survival curves between different categories of the explanatory variables. Survival trend over the follow up time was described using the Kaplan Meier graph. Bivariate and multivariate Cox proportional hazard model were used to identify predictors.Result Based on the 10 th version of international classifications of disease (ICD) of WHO, neurologic disorders (22.7%) infectious disease (18.8%) and environmental hazards (11.8%) account for the top three diagnoses. The median observation time was 3 days with IQR of 1 to 6 days. Of the total of 313 participants, 102 (32.6%) died during the follow-up time. This gives the incidence of mortality of 6.9 deaths per 100 person day observation. Caregivers’ occupation of government-employed (AHR=0.35, 95%CI: 0.14, 0.89), weekend admission (AHR=1.63, 95%CI: 1.02, 2.62), critical illness (AHR=1.79, 95%CI: 1.13, 2.85) Mechanical ventilation AHR=2.36,95%CI: 1.39, 4.01)and PIM2 score (AHR=1.53, 95%CI: 1.36, 1.72) were predictors of mortality in the pediatric ICU.Conclusion Neurologic disorder was the leading causes of admission followed by infectious diseases, and environmental hazards. Rate of mortality was high and admission over weekends, caregivers' occupation, mechanical ventilation, critical illness diagnosis, and higher PIM2 scores were found to be significant and independent predictors of mortality at the PICU. This suggests that ICU medical equipment, diagnostics, and interventions should be available up to the standard. Intensivist and full staffing around the clock has to be available in the PICU.


2014 ◽  
Vol 42 (11) ◽  
pp. 1207-1211 ◽  
Author(s):  
Mohsen Abdel Hamid Gadallah ◽  
Aisha Mohamed Aboul Fotouh ◽  
Ihab Shehad Habil ◽  
Safaa Shafik Imam ◽  
Ghada Wassef

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lionel Chok ◽  
Esther B. Bachli ◽  
Peter Steiger ◽  
Dominique Bettex ◽  
Silvia R. Cottini ◽  
...  

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