scholarly journals To Established Hematological Reference Intervals Among Full-Term Newborn Babies at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: A Cross-Sectional Study

2020 ◽  
Author(s):  
Tegenaw Tiruneh ◽  
Teklehymanot Kiros ◽  
Sisay Getu

Abstract Background: Hematological reference intervals are used for medical decision tools for interpretation of numerical test results. Establishing of hematological interval among newborn babies is very important for the diagnosis of malignancy, anemia, bleeding disorders, and various infections. There is no locally established hematological reference intervals in Ethiopia. Thus the aim of this study is to established locally determined hematological reference interval among full-term newborn babies.Methods: A cross sectional study was conducted from February to May 2019 among 151 apparently healthy full-term newborn babies at Gondar University Hospital. About 3ml of cord blood was obtained for analysis of Hematological parameters and determined by using Sysmex KX-21N (Sysmex Corporation Kobe, Japan) automated analyzer. Median, 2.5th and 97.5th percentiles were computed. Result: Males to female’s ratio was almost equal. All hematological parameter had no statistically significant difference between males and females. The delivery types were not influenced its hematological values. Conclusion: Hematological reference interval was established from full-term newborn babies at University of Gondar hospital and was different from other studies in African and Europeans. Therefore, own determined reference value is very important for the clinicians to correctly diagnosis the patients at health facility levels.

2020 ◽  
Author(s):  
Tegenaw Tiruneh ◽  
Teklehymanot Kiros ◽  
Sisay Getu

Abstract Background: Hematological reference intervals are used for medical decision tools for interpretation of numerical test results. Establishing of hematological interval among newborn babies is very important for the diagnosis of malignancy, anemia, bleeding disorders, and various infections. There is no locally established hematological reference intervals in Ethiopia. Thus, the aim of this study is to established locally determined hematological reference interval among full-term newborns.Methods: A cross sectional study was conducted from February to May 2019 among 151 apparently healthy full-term newborns at Gondar University Hospital. About 3ml of cord blood was obtained for analysis of Hematological parameters and determined by using Sysmex KX-21N (Sysmex Corporation Kobe, Japan) automated analyzer. Median, 2.5th and 97.5th percentiles were computed.Result: Males to female’s ratio was almost equal. All hematological parameter had no statistically significant difference between males and females. The delivery types were not influenced its hematological values. The reference interval of white blood cells, red blood cells, platelets, hemoglobin, hematocrit, mean cell volume, and mean cell hemoglobin were (7.64-22.16) x109/l, (3.69-5.47)x1012/l, (132.74-413.4) x109/l, (13.32-19.64) g/dl and (39.42-58.06)%, (91.6-113.22)fl, and (30.48-38.02)pg, respectively.Conclusion: All hematological reference interval was established from full-term newborns at University of Gondar hospital was different from other studies in Nigeria, Iraq, Pakistan, Nepal, Saudi Arabia and Iran. Therefore, own determined reference value is very important for the clinicians to correctly diagnosis the patients at health facility levels.


BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e025897 ◽  
Author(s):  
Monsurul Hoq ◽  
Vicky Karlaftis ◽  
Susan Mathews ◽  
Janet Burgess ◽  
Susan M Donath ◽  
...  

IntroductionThe clinical interpretation of laboratory tests is reliant on reference intervals. However, the accuracy of a reference interval is dependent on the selected reference population, and in paediatrics, the ability of the reference interval to reflect changes associated with growth and age, as well as sex and ethnicity. Differences in reagent formulations, methodologies and analysers can also impact on a reference interval. To date, no direct comparison of reference intervals for common analytes using different analysers in children has been published. The Harmonising Age Pathology Parameters in Kids (HAPPI Kids) study aims to establish age-appropriate reference intervals for commonly used analytes in the routine clinical care of neonates and children, and to determine the feasibility of paediatric reference interval harmonisation by comparing age-appropriate reference intervals in different analysers for multiple analytes.Methods and analysisThe HAPPI Kids study is a prospective cross-sectional study, collecting paediatric blood samples for analysis of commonly requested biochemical, immunological and haematological tests. Venous blood samples are collected from healthy premature neonates (32–36 weeks of gestation), term neonates (from birth to a maximum of 72 hours postbirth) and children aged 30 days to ≤18 years (undergoing minor day surgical procedures). Blood samples are processed according to standard laboratory procedures and, if not processed immediately, stored at –80°C. A minimum of 20 samples is analysed for every analyte for neonates and then each year of age until 18 years. Analytical testing is performed according to the standard operating procedures used for clinical samples. Where possible, sample aliquots from the same patients are analysed for an analyte across multiple commercially available analysers.Ethics and disseminationThe study protocol was approved by The Royal Children’s Hospital, Melbourne, Ethics in Human Research Committee (34183 A). The study findings will be published in peer-reviewed journals and shared with clinicians, laboratory scientists and laboratories.


2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Tegenaw Tiruneh ◽  
Elias Shiferaw ◽  
Bamlaku Enawgaw

Abstract Background Anemia in newborn babies causes asymptomatic to an acute life-threatening event. If untreated, it leads to a delay in brain maturation, tissue hypoxia, and stunted growth. In Sub-Saharan Africa, its burden ranges 23–66%. However, in Ethiopia, there is limited information regarding the prevalence and associated factors of newborn anemia. Thus, this study was aimed to assess the prevalence and associated factors of anemia among full-term newborn babies. Method Cross-sectional study was conducted from February 1 to April 30, 2019, among 192 full-term newborn babies. A systematic random sampling technique was employed to select study participants. Socio-demographic characteristics were collected through interviews. Clinical data were collected by reviewing medical records. Cord blood was collected from the clumped cord. Complete blood count was analyzed by using the Sysmex KX-21 N hematology analyzer. SPSS 20 was used to analyze the data. Bivariable and multivariable binary logistic regression were used to identify associated factors. P-value < 0.05 was considered a statistically significant association. Result The median (interquartile range) of cord hemoglobin was 15 g/dL (13.93–16.2 g/dL). From the total, 25% (95% CI: 18.9, 31.1%) of the newborns were anemic. From anemic 89.5, 6.3, and 4.2% were mild, moderate and severe anemia type, respectively. Maternal vegetable consumption habit (AOR = 0.34, 95%CI: 0.17, 0.69) were significant associated with anemia. Conclusion Anemia among newborn babies found to be a moderate public health problem. Based on the finding early screening of newborn anemia may reduce further complications.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043814
Author(s):  
Mesfin Tadese ◽  
Andargachew Kassa ◽  
Abebaw Abeje Muluneh ◽  
Girma Altaye

ObjectivesThe study aimed to provide an association between dysmenorrhoea and academic performance among university students in Ethiopia. Further, the study attempts to determine the prevalence and associated risk factors of dysmenorrhoea.Design and methodInstitution-based cross-sectional study was conducted from 1 April to 28 April 2019. A semistructured and pretested self-administered questionnaire was used to collect data. Binary logistic regression analysis and one-way analysis of variance were performed to model dysmenorrhoea and academic performance, respectively.Setting and participantsEthiopia (2019: n=647 female university students).OutcomesThe primary outcome is dysmenorrhoea, which has been defined as painful menses that prevents normal activity and requires medication. The self-reported cumulative grade point average of students was used as a proxy measure of academic performance, which is the secondary outcome.ResultsThe prevalence of dysmenorrhoea was 317 (51.5%). The educational status of father (adjusted OR (AOR) (95% CI) 2.64 (1.04 to 6.66)), chocolate consumption (AOR (95% CI) 3.39 (95% 1.28 to 8.93)), daily breakfast intake (<5 days/week) (AOR (95% CI) 0.63 (0.42 to 0.95)), irregular menstrual cycle AOR (95% CI) 2.34 (1.55 to 3.54)) and positive family history of dysmenorrhoea AOR (95% CI) 3.29 (2.25 to 4.81)) had statistically significant association with dysmenorrhoea. There was no statistically significant difference in academic performance among students with and without dysmenorrhoea (F (3611)=1.276, p=0.28)).ConclusionsDysmenorrhoea was a common health problem among graduating University students. However, it has no statistically significant impact on academic performance. Reproductive health officers should educate and undermine the negative academic consequences of dysmenorrhoea to reduce the physical and psychological stress that happens to females and their families.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abeer Alharbi ◽  
Joharah Alzuwaed ◽  
Hind Qasem

Abstract Background The Ministry of Health in Saudi Arabia is expanding the country’s telemedicine services by using advanced technology in health services. In doing so, an e-health application (app), Seha, was introduced in 2018 that allows individuals to have face-to-face visual medical consultations with their doctors on their smartphones. Objective This study evaluated the effectiveness of the app in improving healthcare delivery by ensuring patient satisfaction with the care given, increasing access to care, and improving efficiency in the healthcare system. Methods A cross-sectional study design was used to assess the perceptions of users of the Seha app and non-users who continued with traditional health services. The data were collected using an online survey via Google Forms between June 2020 and September 2020. Independent t tests and chi-square (χ2) tests were conducted to answer the research questions. Results There was a significant difference between users and non-users in terms of ease of access to health services (t =  − 9.38, p < 0.05), with app users having a higher mean score (4.19 ± 0.91) than non-users (3.41 ± 1.00); satisfaction with health services (t =  − 6.33, p < 0.05), with users having a higher mean score (3.96 ± 0.91) than non-users (3.45 ± 0.94); and efficiency (only one visit needed for treatment) (t =  − 3.20, p < 0.05), with users having a higher mean score (3.71 ± 0.93) than non-users (3.45 ± 0.93). There were significant associations between the use of the Seha app and age (χ2 = 8.79, p < 0.05), gender (χ2 = 22.19, p < 0.05), region (χ2 = 19.74, p < 0.05), and occupation (χ2 = 22.05, p < 0.05). There were significant relationships between the three items (on access, satisfaction, and efficiency) and experiencing technical issues (t = 4.47, t = 8.11, and t = 3.24, respectively, p < 0.05), with users who faced technical problems having significantly lower mean scores for all three items. Conclusion This study provided evidence that the Seha app improved the delivery of healthcare in Saudi Arabia. Users of the app had a better health experience in terms of their perceived ease of access to healthcare services; their satisfaction with healthcare services; and the efficiency of the system, measured by the number of required doctor visits. Other factors that appeared to influence the use of the app included age, gender, usual source of care, and technical difficulties.


2019 ◽  
Vol 90 (3) ◽  
pp. e31.1-e31
Author(s):  
T Samuel ◽  
K Aquilina ◽  
W Dawes

ObjectivesTo investigate the current understanding parents have of concussion in their rugby-playing children aged 9–17.DesignCross-sectional studySubjects86 parents from four clubs completed an online questionnaireMethodsAreas covered (1) Parental experience of concussion (2) Rate of viewing of the RFU concussion educational video (RFUCEV), (3) Identification of symptoms of concussion (4) Understanding of the risk of concussion. Each participant was given a composite score, out of 19, based on their performance in symptom identification and true/false questions. Independent-sample two-tailed t-tests were conducted to analyse scores, primarily controlling for viewing of the RFUCEVResultsThere was a significant difference in the scores between the group that had viewed the RFUCEV (n=32, M=14.75, SD=2.55) and those who had not (n=54, M=13.05, SD=2.87); t(84)=2.75, p=0.00721. Additionally, over 25% of parents reported that their child had suffered a concussion, and this was also found to significantly improve the awareness score (p=0.04678)ConclusionsStatistically significant improvement in composite scores after viewing the RFUCEV makes it reasonable to require compulsory parental education prior to signing up a child to play rugby. This would build on the protocol changes made by the RFU in 2014 and further progress the safety of the sport. We suggest the video be improved to emphasise the areas highlighted as inadequately understood, including the increased risk of concussion in under-18s compared to adults.


2014 ◽  
Vol 26 (3) ◽  
pp. 447-453 ◽  
Author(s):  
Whye Lian Cheah ◽  
Hazmi Helmy ◽  
Ching Thon Chang

Abstract Rural communities have shown marked increase in metabolic syndrome among young people, with physical inactivity as one of the main contributing factors. This study aimed to determine factors associated with physical inactivity among male and female rural adolescents in a sample of schools in Malaysia. A cross-sectional study was conducted among 145 students aged 13–15 years. Data on socio-demographic, health-related, and psychosocial factors (perceived barriers, self-efficacy, social influences) were collected using a self-administered questionnaire. Anthropometric measurement was taken to generate body mass index (BMI)-for-age, while physical activity (PA) level was assessed using pedometers. The mean steps per day was 6251.37 (SD=3085.31) with males reported as being more active. About 27% of the respondents were either overweight or obese, with more females in this group. There was no significant difference in steps among males and females (p=0.212), and nutritional status (BMI-for-age) (p=0.439). Females consistently scored higher in most items under perceived barriers, but had significantly lower scores in self-efficacy’s items. Males were more influenced by peers in terms of PA (p<0.001) and were more satisfied with their body parts (p=0.047). A significantly higher body size discrepancy score was found among females (p=0.034, CI –0.639, –0.026). PA level was low and almost one-third of the respondents were overweight and obese. Female students faced more barriers and had lower self-efficacy with regards PA. Based on the findings, it is recommended that interventions focus on reducing barriers while increasing support for PA. This is particularly important in improving the health status of the youth, especially among the females.


2021 ◽  
Author(s):  
Mohammad Nour Shashaa ◽  
Mohamad Shadi Alkarrash ◽  
Mohammad Nour Kitaz ◽  
Roaa Rhayim ◽  
Mohammed Ismail ◽  
...  

Abstract Background Sudden cardiac arrest considers one of the most leading cause for death in all over the world. It is important for all medical students to train basic life support. This study evaluated the awareness of basic life support among medical students. Methods An electronic questionnaire based cross sectional study was conducted in November 2020 among 2114 medical student in Syria, Iraq and Jordan. We evaluated BLS skills according to mean score. A chi-squared test was used to determine if there were differences between those who attended a basic life support course and those who did not. Results 1656 of the participants (78.3%) stated that they did not attend a basic life support course. There was a significant difference between the participants from different countries where the mean score in Syria, Jordan and Iraq was 18.3, 24.3 and 18.8 respectively (p < 0.05). The participants were divided into 3 level according to total score; low (0–12), moderate (13–24) and high (25–37). In total, 18.3%, 72.8% and 8.9% of participants had high, intermediate and low level respectively. Conclusions The overall knowledge of basic life support among medical students is not adequate and need significant improvements. This study showed that an attendance a basic life support course previously had an effect on knowledge level. Hence, there is an urgent need to apply basic life support courses into the pre-clinical stage at universities.


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