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Extramedullary Versus Intramedullary Bone Fixation Treatment of Peritrochanteric Fractures
Osama Mohamed El Sayed Farag,
Ahmed Mohamed Mohasseb,
Ahmed Mohy Eldin Mohamed Mohamed Hefny
Issue:
Volume 7, Issue 1, March 2022
Pages:
1-6
Received:
22 July 2021
Accepted:
6 January 2022
Published:
9 March 2022
Abstract: Background: In the last few decades the rate of peritrochanteric fractures has increased because of increased rate of high velocity trauma accident and bone rarefaction due to osteoporosis in old age. DHS and PFN are the gold standard treatments used in treatment of these fractures. Nineteen studies were identified for analysis from 2007 to 2017 that meet our points of comparison. Aim of the work: Assessing of efficacy and complications of treatmeant of preitrochantric fracture by DHS versus PFN. Materials and methods: Outcomes from included trials will be combined using the systematic review manger software and manually screened for eligibility to be included. PRISMA flowchart will be produced based on the search results and the inclusion /exclusion criteria. After pooling of the collected data from the desired search studies, the relative risk of each of intended outcome measures of interest will be calculated and compared between each of the two main methods of peritrochanteric bone fixation treatment to reach a satisfactory conclusion. Evidence of publication bias will be sought using the funnel plot method. Results: PFN is better for treating unstable peritrochanteric fractures as it has less complications and better efficacy than DHS. Conclusion: The present study supports the treatment of peritrochanteric fractures with PFN, as it has less failure of fixation, decreased wound infection, less duration of surgery and less non-union complication than DHS.
Abstract: Background: In the last few decades the rate of peritrochanteric fractures has increased because of increased rate of high velocity trauma accident and bone rarefaction due to osteoporosis in old age. DHS and PFN are the gold standard treatments used in treatment of these fractures. Nineteen studies were identified for analysis from 2007 to 2017 th...
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Sensitivity Analysis by Variables in the Classification of Renal Insufficiency Using Artificial Neural Networks VS Multinomial Logistic Regression
Elena Martín Pérez,
Quintín Martín Martín
Issue:
Volume 7, Issue 1, March 2022
Pages:
7-11
Received:
18 February 2022
Accepted:
14 March 2022
Published:
23 March 2022
Abstract: Purpose: The aim of the research is to see to what extent Neural Networks (non-parametric technique) could be used as opposed to Multinomial Logistic Regression (parametric technique) in the analysis of sensitivity by variable in the classification of "Renal insufficiency" (three categories: NOT, MODERATE and ADVANCED). The analysis of sensitivity by variable, in our case, consists of eliminating from the model the three most influential variables (one by one): Blood creatine, Urine creatine and Urea, in that order. Once a variable is removed from the model, it will not reenter the model. Methods: This study collects data from the University Hospital of Salamanca (Spain), configuring a file of renal insufficiency data with 184 cases and 9 variables. First, we do descriptive-exploratory analysis of data for renal insufficiency data, obtained experimentally through a pilot survey. The comparison between ANNs and MLR is carried out by classification in the categories NOT, MODERATE and ADVANCED. Results: The descriptive-exploratory analysis of data shows the high value of the Coefficient of variation, Kurtosis and Skewness of the variables Blood creatine, Urine creatine and Urea, all of them well above 66%, 10 and 2.70, respectively. The study shows that when all the variables in the model are considered, the highest classification percentage concerns the Multinomial Logistic Regression (MLR), while, for the analysis of sensitivity by variables, the classification percentages are favourable to the Artificial Neural Network model (ANN). Conclusions: The joint classification percentages in the analysis of sensitivity by variables are favourable to the artificial neural network model (perceptron). That is, the non-parametric technique (ANNs) would surpass the parametric technique (MLR) in the classification of a patient's renal insufficiency.
Abstract: Purpose: The aim of the research is to see to what extent Neural Networks (non-parametric technique) could be used as opposed to Multinomial Logistic Regression (parametric technique) in the analysis of sensitivity by variable in the classification of "Renal insufficiency" (three categories: NOT, MODERATE and ADVANCED). The analysis of sensitivity ...
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Prevalence of Subclinical Mastitis from Milking Dairy Goat Species Reared in Different Climatic Conditions in Morogoro Region
Nyoni Hamis Salum,
Katakweba Abdul
Issue:
Volume 7, Issue 1, March 2022
Pages:
12-17
Received:
24 December 2021
Accepted:
4 February 2022
Published:
29 March 2022
Abstract: A total of 96 dairy goats kidding once and primiparous of Toggernburg (T) and Norwegian white (NW) breeds were involved in this study. Study was carried in Morogoro municipality (N=37: T=16, NW=21), Mgeta in Mvomero district (N=44: T=14, NW=30) and Gairo town in Gairo distric (N=15: T=6, NW=9). The prevalence of subclinical mastitis (SCM) was determined using California Mastitis Test (CMT). A total of 192 composite milk samples (one sample per teat) were aseptically collected from each quarter of the apparently health dairy goat and screened by using California Mastitis Reagent which contain Alkyary sulphate and Bromcresol purple. The milk samples that scored 0, Trace (T), and +1 were considered as negative, while the samples with the scores +2 or +3 were taken as positive and used in the screening test. From Morogoro Municipality, the prevalence was 31.08% (23/74), right quarters (RQ) having 18.92% (14/74) and left quarters (LQ) with 12.16% (9/74). In Mgeta, out of 88 samples, 37.5% (33/88) were positive for mastitis, RQ 23.86% (21/88) while the LQ had 13.64% (12/88). Dairy goats from different farmers at Gairo had 33.33% (10/30), RQ had 20% (6/30) while for the LQ were 10% (3/30). Overall prevalence in all three studied areas was 34.38% (66/192) whereby for the right quarters were 21.35% (41/192) and left quarters 12.5% (24/192). Regarding prevalence within the breeds, T breed had 25% (18/72) within the breed and 9.38% (18/192) of the total milk samples while in NW had 40% (48/120) and 25% respectively. From these findings it is concluded that right quarters of the udder were mostly affected with subclinical mastitis than left quarters. NW breed is more susceptible to SCM than T. Farmers should be educated on this disease and education should include proper managerial practice especially avoiding risk factors such as poor hygiene of the udder and personnel, care of the injuries on the teats and proper milking. Regular screening of milking goats with CMT using expert and proper treatment of the Clinical Mastitis should be advocated. Bacteria causing mastitis should be isolated and tested for their Antimicrobial Resistance by using commonly used antimicrobials in the study areas.
Abstract: A total of 96 dairy goats kidding once and primiparous of Toggernburg (T) and Norwegian white (NW) breeds were involved in this study. Study was carried in Morogoro municipality (N=37: T=16, NW=21), Mgeta in Mvomero district (N=44: T=14, NW=30) and Gairo town in Gairo distric (N=15: T=6, NW=9). The prevalence of subclinical mastitis (SCM) was deter...
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