Introduction: Data on mortality in acute kidney injury (AKI) derives from high-income countries where AKI is hospital-acquired and occurs in elderly patients with a high burden of cardiovascular disease. In sub-Sahara...Introduction: Data on mortality in acute kidney injury (AKI) derives from high-income countries where AKI is hospital-acquired and occurs in elderly patients with a high burden of cardiovascular disease. In sub-Saharan Africa (SSA), AKI is community-acquired occurring in healthy young adults. We aimed to identify predictors of fatal outcomes in patients with AKI in two tertiary hospitals in Cameroon. Methods: Medical records of adults with confirmed AKI, from January 2018 to March 2020 were retrieved. The outcomes of interest were in-hospital deaths and presumed causes of death. We used multiple logistic regressions modeling to identify predictors of death. The study was approved by the ethics boards of both hospitals. Values were considered significant for a p-value of 0.05. Results: We included 285 patient records (37.2% females). The mean (SD) age was 50.1 (19.0) years. Hypertension (n = 97, 34.0%), organ failure (n = 88, 30.9%), and diabetes (n = 60, 21.1%) were the main comorbidities. The majority of patients had community-acquired AKI (78.6%, n = 224), were KDIGO stage 3 (88.8%, n = 253), and needed dialysis (52.6%, n = 150). Up to 16.7% (n = 25) did not receive what was needed. The in-hospital mortality rate was 29.1% (n = 83). Lack of access to dialysis (OR = 27.8;CI: 5.2 - 149.3, p = 0.001), hypotension (OR = 11.8;CI: 1.3 - 24.8;p = 0.001) and ICU admission (OR = 5.7;CI: 1.3 - 24.8, p = 0.001) were predictors of mortality. The presence of co-morbidities or underlying diseases (n = 46, 55%) were the main causes of death. Conclusions: In-hospital AKI mortality is high, as in other low- and middle-income economies. Lack of access to dialysis and the severity of the underlying illness are major predictors of death.展开更多
Pressure on land tenure is having a negative impact on the coconut sector, reducing farmers’ incomes. Intercropping cultivars plantain under coconut based has been considered as a solution to this problem. The aim of...Pressure on land tenure is having a negative impact on the coconut sector, reducing farmers’ incomes. Intercropping cultivars plantain under coconut based has been considered as a solution to this problem. The aim of this work is to diversify the sources of income for coconut growers. The plantain variety PITA 3, popularised by the CNRA, was grown in coconut inter-rows (PB113<sup>+</sup>), with two types of manure (chemical, organic). Six (06) treatments D1, D2, D3, D4, D5 and D6 were studied. In the tenth month after planting, treatment D3, which included banana plants fertilised with 9 kg of manure/plant, got the best agromorphological performance: height (264.08 cm), neck circumference (57.68 cm) and 12 leaves. In terms of production parameters, D3 banana plants had a shorter production cycle (347 days) and the highest diet mass (9.3 kg). However, the plants that received no fertiliser (D6) showed stunted growth and were unable to produce brunch. The fertilization of plantain with 10 t/ha of laying hen droppings permitted good development and production of plantains on tertiary sands.展开更多
Background: Hypertension is a persistent elevation of blood pressure in the arteries which if not properly managed can lead to stroke, heart failure, atrial fibrillation, peripheral vascular disease and other life thr...Background: Hypertension is a persistent elevation of blood pressure in the arteries which if not properly managed can lead to stroke, heart failure, atrial fibrillation, peripheral vascular disease and other life threatening outcomes. This study investigated some haematological parameters of Primary hypertensive subjects. Objectives: To compare some haematological parameters (haematocrit, haemoglobin concentration, Platelets count, White Blood Cells count, red blood cell count and Red Cells Indices between hypertensive and normotensive subjects. Materials and methods: Blood samples were collected from 76 known hypertensive subjects between 30 - 70 years attending the Cardiology clinic of the University of Abuja Teaching Hospital Gwagwalada. Another 37 normotensive subjects between 30 - 65 years served as the control. All subjects gave their consents. Platelets count, Haemoglobin estimation, Packed Cell Volume, Red Blood Cell Count, Mean Cell Volume, Mean Cell Haemoglobin, Mean Cell Haemoglobin Concentration and White Blood Cell count were determined using Mythic 22 five parts haematology analyzer. Results: Results for Hypertensive and Control subjects were, White Blood Cell, 5.76 ± 1.45 × 10<sup>9</sup>/l and 4.76 ± 1.03 × 10<sup>9</sup>/l, Platelet count, 248.7552.45 × 10<sup>9</sup>/l and 284.95 ± 27.66 × 10<sup>9</sup>/l, Mean Cell Volume, 91.81 ± 3.05 fl and 85.68 ± 6.48 fl, Mean Cell Haemoglobin, 30.59 ± 1.04 pg and 27.922 ± 2.74 pg, Mean Cell Haemoglobin Concentration, 33.34 ± 0.61 g/dl and 32.32 ± 0.93 g/dl, Red Blood Cell, 4.33 ± 0.39 × 10<sup>9</sup>/l and 4.50 ± 0.52 × 10<sup>9</sup>/l, Packed Cell Volume, 39% ± 3.15% and 40% ± 4.41% and Haemoglobin, 13.21 ± 1.10 g/dl and 13.50 ± 1.63 g/dl respectively. Mean Cell Volume, Mean Cell Haemoglobin, Mean Cell Haemoglobin Concentration (Red cells indices) were significantly higher in hypertensive compared to normotensive subjects (P 0.05), total White Blood Cell count was also higher in hypertensive than normotensive but not statistically significant (P > 0.05). However, Platelet counts, Red Blood Cell, Packed Cell Volume and Haemoglobin were significantly lower in hypertensive compared to normotensive (P 0.05). All the parameters were within established reference ranges for the age and sex of the subjects. Our findings show that hypertension may lead to haematological derangement, if not properly managed. Conclusively, haematological parameters can be used to monitor the prognosis of the disease and manage hypertensive related complications. It is important to assess haematological parameters for hypertensive individuals which may help to prevent complications associated with haematological disorders.展开更多
文摘Introduction: Data on mortality in acute kidney injury (AKI) derives from high-income countries where AKI is hospital-acquired and occurs in elderly patients with a high burden of cardiovascular disease. In sub-Saharan Africa (SSA), AKI is community-acquired occurring in healthy young adults. We aimed to identify predictors of fatal outcomes in patients with AKI in two tertiary hospitals in Cameroon. Methods: Medical records of adults with confirmed AKI, from January 2018 to March 2020 were retrieved. The outcomes of interest were in-hospital deaths and presumed causes of death. We used multiple logistic regressions modeling to identify predictors of death. The study was approved by the ethics boards of both hospitals. Values were considered significant for a p-value of 0.05. Results: We included 285 patient records (37.2% females). The mean (SD) age was 50.1 (19.0) years. Hypertension (n = 97, 34.0%), organ failure (n = 88, 30.9%), and diabetes (n = 60, 21.1%) were the main comorbidities. The majority of patients had community-acquired AKI (78.6%, n = 224), were KDIGO stage 3 (88.8%, n = 253), and needed dialysis (52.6%, n = 150). Up to 16.7% (n = 25) did not receive what was needed. The in-hospital mortality rate was 29.1% (n = 83). Lack of access to dialysis (OR = 27.8;CI: 5.2 - 149.3, p = 0.001), hypotension (OR = 11.8;CI: 1.3 - 24.8;p = 0.001) and ICU admission (OR = 5.7;CI: 1.3 - 24.8, p = 0.001) were predictors of mortality. The presence of co-morbidities or underlying diseases (n = 46, 55%) were the main causes of death. Conclusions: In-hospital AKI mortality is high, as in other low- and middle-income economies. Lack of access to dialysis and the severity of the underlying illness are major predictors of death.
文摘Pressure on land tenure is having a negative impact on the coconut sector, reducing farmers’ incomes. Intercropping cultivars plantain under coconut based has been considered as a solution to this problem. The aim of this work is to diversify the sources of income for coconut growers. The plantain variety PITA 3, popularised by the CNRA, was grown in coconut inter-rows (PB113<sup>+</sup>), with two types of manure (chemical, organic). Six (06) treatments D1, D2, D3, D4, D5 and D6 were studied. In the tenth month after planting, treatment D3, which included banana plants fertilised with 9 kg of manure/plant, got the best agromorphological performance: height (264.08 cm), neck circumference (57.68 cm) and 12 leaves. In terms of production parameters, D3 banana plants had a shorter production cycle (347 days) and the highest diet mass (9.3 kg). However, the plants that received no fertiliser (D6) showed stunted growth and were unable to produce brunch. The fertilization of plantain with 10 t/ha of laying hen droppings permitted good development and production of plantains on tertiary sands.
文摘Background: Hypertension is a persistent elevation of blood pressure in the arteries which if not properly managed can lead to stroke, heart failure, atrial fibrillation, peripheral vascular disease and other life threatening outcomes. This study investigated some haematological parameters of Primary hypertensive subjects. Objectives: To compare some haematological parameters (haematocrit, haemoglobin concentration, Platelets count, White Blood Cells count, red blood cell count and Red Cells Indices between hypertensive and normotensive subjects. Materials and methods: Blood samples were collected from 76 known hypertensive subjects between 30 - 70 years attending the Cardiology clinic of the University of Abuja Teaching Hospital Gwagwalada. Another 37 normotensive subjects between 30 - 65 years served as the control. All subjects gave their consents. Platelets count, Haemoglobin estimation, Packed Cell Volume, Red Blood Cell Count, Mean Cell Volume, Mean Cell Haemoglobin, Mean Cell Haemoglobin Concentration and White Blood Cell count were determined using Mythic 22 five parts haematology analyzer. Results: Results for Hypertensive and Control subjects were, White Blood Cell, 5.76 ± 1.45 × 10<sup>9</sup>/l and 4.76 ± 1.03 × 10<sup>9</sup>/l, Platelet count, 248.7552.45 × 10<sup>9</sup>/l and 284.95 ± 27.66 × 10<sup>9</sup>/l, Mean Cell Volume, 91.81 ± 3.05 fl and 85.68 ± 6.48 fl, Mean Cell Haemoglobin, 30.59 ± 1.04 pg and 27.922 ± 2.74 pg, Mean Cell Haemoglobin Concentration, 33.34 ± 0.61 g/dl and 32.32 ± 0.93 g/dl, Red Blood Cell, 4.33 ± 0.39 × 10<sup>9</sup>/l and 4.50 ± 0.52 × 10<sup>9</sup>/l, Packed Cell Volume, 39% ± 3.15% and 40% ± 4.41% and Haemoglobin, 13.21 ± 1.10 g/dl and 13.50 ± 1.63 g/dl respectively. Mean Cell Volume, Mean Cell Haemoglobin, Mean Cell Haemoglobin Concentration (Red cells indices) were significantly higher in hypertensive compared to normotensive subjects (P 0.05), total White Blood Cell count was also higher in hypertensive than normotensive but not statistically significant (P > 0.05). However, Platelet counts, Red Blood Cell, Packed Cell Volume and Haemoglobin were significantly lower in hypertensive compared to normotensive (P 0.05). All the parameters were within established reference ranges for the age and sex of the subjects. Our findings show that hypertension may lead to haematological derangement, if not properly managed. Conclusively, haematological parameters can be used to monitor the prognosis of the disease and manage hypertensive related complications. It is important to assess haematological parameters for hypertensive individuals which may help to prevent complications associated with haematological disorders.
