SADIKALMAHDI ABDELLA

Mr. SADIKALMAHDI ABDELLA


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2017 in BMC Infectious Diseases
Verified
Journal Article
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TLTamrat Legesse Laloto
Tamrat Legesse Laloto
DGDesta Gemeda
Desta Gemeda
SASADIKALMAHDI ABDELLA
SADIKALMAHDI ABDELLA
Surgical site infections are commonest nosocomial infections and responsible for considerable morbidity and mortality as well as increased hospitalizations and treatment cost related to surgical operations. The aim of this study was to determine incidence and predictors of surgical site infections at surgical ward of Hawassa University Referral Hospital, Southern Ethiopia. We performed prospective study involving 105 patients that undergone major surgical procedure at Hawassa University Referral Hospital from March 2 to May 2, 2015. Data were extracted from paper based medical charts, operational and anesthesia note, by direct observation and patients’ interview. All patients were followed daily before, during and after operation for 30 days starting from the date of operation. Data were analyzed using Statistical Package for Social Science (SPSS) for window version 20.0 software. Predictors of Surgical site infections were identified using multivariable logistic regression model. P-value less than 0.05 was considered to be statistically significant. We studied 105 patients. Sixty four patients (61%) were males. The mean age of the patients was 30.85 ± 17.72 years. The mean Body Mass Index (BMI) was 21.6 ± 4 kg/m2. Twenty patients (19.1%) developed surgical site infections. Age greater than 40 years, AOR = 7.7(95% CI [1.610–40.810 p = 0.016,]), preoperative hospital stay more than 7 days, AOR = 22.4(95% CI [4.544–110.780, p = 0.001]), duration of operation more than 1 hour, AOR = 8.01(95% CI [1.562–41.099, p = 0.013]) and administering antimicrobial prophylaxis before 1 hour of operation, AOR = 11.1 (95% CI [1.269–75.639, p = 0.014]) were independent predictors for surgical site infections. Surgical site infection is relatively high.

22 September 2016 in AIDS Research and Therapy
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Journal Article
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SASADIKALMAHDI ABDELLA
SADIKALMAHDI ABDELLA
TBTefera Belachew
Tefera Belachew
NHNezif Hussien
Nezif Hussien
The aim of this study was to determine the effects of nutritional status at the start of highly active anti-retroviral therapy on treatment outcomes among HIV/AIDS patients taking HAART at Jimma University Specialized Hospital. We performed a retrospective cohort study involving 340 adults who started highly active anti-retroviral therapy. The patients have been clinically followed for 2 years. Data were extracted from paper based medical charts by trained data collectors from January 30 to February 28, 2014 using data collection format. We entered data into Epi data version 3.1 and then exported to SPSS for windows version 21. Predictors of CD4 change were identified using multivariable linear regression model. Time to an event (death) was estimated by Kaplan–Meier and predictors of mortality were identified by Cox proportional hazard model. Out of 340 patients, 42 patients died during the follow-up. Twenty-five (59.5 %) deaths were from malnourished group. Age, baseline CD4, sex, baseline HAART and marital status were significant predictors of immunologic recovery at different time points. Malnutrition was associated with lower CD4 recovery and greater hazard of death. Malnutrition tends to decrease CD4 recovery and predisposes patient to early death.

31 October 2017 in The Open Public Health Journal
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Journal Article
Open access
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SASADIKALMAHDI ABDELLA
SADIKALMAHDI ABDELLA
TBTefera Belachew
Tefera Belachew
NHNezif Hussein
Nezif Hussein
Purposes: We aimed to assess the effects of nutritional status on occurrences of opportunistic infection in HIV/AIDS patients using antiretroviral therapy at Jimma University Specialized Hospital.Methods: We conducted a retrospective study on 340 adults who were taking antiretroviral therapy and the patients were followed for 2 years after they commence treatment. Medical Chart review was done from January 30 to February 28, 2014. SPSS for windows version 21 was used to analyze the data. The data was analyzed by SPSS for windows version 21.Time to occurrence of opportunistic infection was estimated by Kaplan-Meier analysis and Cox-proportional Hazard model was used to identify predictors of opportunistic infections.Results: Eighty three [24.4%] patients developed opportunistic infection after initiation of highly active anti-retroviral therapy. Fifty five [66.3%] patients were from malnourished group. Malnutrition, Stavudine based regimen, Zidovudine based regimen and taking isoniazid prophylaxis were associated with greater hazard of developing opportunistic infections.Conclusions: Malnutrition was significant predictor of opportunistic infections. Malnourished patients were associated with high risk and early development of opportunistic infections.