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re services. Age of participants, respectful maternity care, advice on danger signs in pregnancy, previous antenatal care visits, and planned pregnancy were found to be predictors of women's satisfaction with antenatal care services.

Human immunodeficiency virus/Acquired immunodeficiency syndrome is a chronic communicable disease with devastating global socio-economic, and political impacts commonly affecting the young and early adult populations. Ethiopia is doing well in controlling HIV/AIDS epidemic infection among African countries. This study set out to determine the mortality rate and its predictors among adults on antiretroviral therapy at Debre Markos Referral Hospital, northwest Ethiopia.

A hospital-based retrospective follow-up study was conducted from February to March 2018. A computer-generated simple random sample selected 480 cards of patients on antiretroviral therapy who were enrolled between February 2010 to January 2018. Epi-data Version 4.2 software was used for data entry and SPSS Version 25 for management and analysis. An adjusted hazard rate with a 95% confidence interval was used to identify significant predictors of mortality.

The mortality rate was about 3.9 per 100 person-years. Cotrimoxazole prophylactic terent patients and early detection and treatment of anemia, tuberculosis, and OIs to reduce mortality is recommended.

Globally, approximately 37.9 million people were living with HIV and one-third of these people are co-infected with tuberculosis (TB). However, little is known about predictors of tuberculosis incidence and its association with viral load. Thus, this study was aimed at assessing the incidence of tuberculosis and its predictors and its association with the longitudinal change in viral load over time among adult HIV/AIDS patients at Zewditu memorial hospital, Addis Ababa Ethiopia.

A retrospective follow-up study was conducted among 471 HIV patients. The proportional hazard assumption was checked for the survival sub-model and the longitudinal sub-model.Νormality assumption was checked. Then the joint model with time-dependent lagged parameterizations was fitted. The goodness of fit was checked using the Cox-Snell residual test and Akaike Information Criteria (AIC) was used for model selection. Finally, the hazard ratio with a 95% confidence interval (CI) with a corresponding P-value <0.05 was used.

A t predictors of time to TB co-infection. Thus, addressing significant predictors and strengthening continuous follow-up are highly recommended in the study setting.This paper provides an introduction to laboratory databases established by Taiwan National Health Insurance Administration (NHIA) since 2015 and released for research since June 2017. The National Health Insurance (NHI) is a government-run single-payer program introduced in 1995 that now covers more than 99% of 23 million Taiwanese citizens. To prevent duplication of medication prescriptions and laboratory test and examination prescriptions, contracted health care providers are required to upload the results of laboratory tests and reports of examinations to the NHIA. The cumulative number of laboratory test results was 5.64 billion from January 2015 to the end of August 2020 for 602 types of test. There are 35 variables for each laboratory test result stored in the databases that can be used for research. However, different hospitals might use different format in reporting the results. The researchers therefore have to develop algorithms to include and exclude incompatible records and to determine whether the results are positive or negative (normal or abnormal). The NHIA suggests that researchers release their source codes of algorithms so that other researchers can modify the codes to improve inter-study comparability. Through the unique personal identification number, the laboratory data can be linked to NHI inpatient and outpatient claims data for further value-added analyses. Non-Taiwanese researchers can collaborate with Taiwan researchers to access the NHI laboratory databases.

The purpose of this study was to assess the potential of

Tc-labeled PSMA-SPECT/CT and diffusion-weighted image (DWI) for predicting treatment response after carbon ion radiotherapy (CIRT) in prostate cancer.

We prospectively registered 26 patients with localized prostate cancer treated with CIRT. All patients underwent

Tc-labeled PSMA-SPECT/CT and multiparametric magnetic resonance imaging (MRI) before and after CIRT. The tumor/background ratio (TBR) and mean apparent diffusion coefficient (ADC

) were measured on the tumor and the percentage changes before and after therapy (ΔTBR and ΔADC

) were calculated. Patients were divided into two groups good response and poor response according to clinical follow-up.

The median follow up time was 38.3months. The TBR was significantly decreased (

=0.001), while the ADC

was significantly increased compared with the pretreatment value (

<0.001). The ΔTBR and ΔADC

were negatively correlated with each other (

= 0.002). GO-203 datasheet On ROC curve analysis for predicting treatment response, the area under the ROC curve (AUC) of ΔTBR (0.867) for predicting good response was higher than that of ΔADC

(0.819). The AUC of combined with ΔTBR and ΔADC

(0.895) was higher than that of either ΔADC

or ΔTBR alone. The combined use of ΔTBR and ΔADC

showed 91.4% sensitivity and 95.2% specificity.

Our preliminary data indicate that the changes of TBR and ADC

maybe an early bio-marker for predicting prognosis after CIRT in localized prostate cancer patients. In addition, the ΔTBR seems to be a more powerful prognostic factor than ΔADC

in prostate cancer treated with CIRT.

Our preliminary data indicate that the changes of TBR and ADCmean maybe an early bio-marker for predicting prognosis after CIRT in localized prostate cancer patients. In addition, the ΔTBR seems to be a more powerful prognostic factor than ΔADCmean in prostate cancer treated with CIRT.

Cervical cancer is the third most common form of cancer among women worldwide. Yet it is one of the few cancers that can be detected and prevented at precancerous stage. Even though different studies were conducted in different areas in Ethiopia, the risk factors for cervical precancerous lesions in the Ethiopian setting are not well identified.

To determine prevalence of precancerous cervical lesion and associated factors among women of reproductive age group attending screening center at Adama Hospital and Medical College.

A cross-sectional study was carried out from June 11 to July 11, 2019. Data was collected through interview aided questionnaires and visual inspection with acetic acid applied for screening and treatment. A random sample of 293 were included in the study. Data was entered into Epi Info version 7, and analyzed by SPSS version 21. Descriptive analysis was conducted to describe the study population and a logistic regression analysis was applied to assess the association of independent variables with the outcome variable.

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