4 research outputs found

    Evaluation of English 'Pediatric Basic Life Support' and 'Pediatric Cardiopulmonary Resuscitation' Videos in YouTube

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    Pediatric Basic Life Support is the initiation of cardiopulmonary resuscitation (CPR) until advanced life support is available. The American Heart Association (AHA) 2015 guideline recommend the people to perform CPR. YouTube is a video sharing site where internet users can learn about many topics, including health. Everyone can upload videos easily. Therefore, there is no control mechanism for the accuracy and up-to-dateness of the videos. Thus, there is a risk of spreading incorrect or inaccurate information. After the pediatric CPR and BLS guidelines were updated in 2015, we aimed to evaluate the quality and content of the videos published in English on YouTube. The YouTube website was searched in 15th June, 2020, using the terms “pediatric cardiac massage” and “pediatric BLS”. A total of 200 videos were evaluated.by two anesthetists in terms of instructional, content, up-to dateness and resource. 33 videos included in the study were evaluated according to Azer SA criteria. 14 videos were found to be useful and 19 of them as misleading. The average total viewing times and daily viewing numbers of useful videos were found to be higher. When evaluated in terms of content, similar results were obtained in both groups. This shows that viewers value videos more being educational than content. For this reason, we think that while editing videos, Azer criteria should be taken into account as an objective criterion and their content should be prepared according to current guidelines

    Evaluation of factors that affect skin to subarachnoid space distance

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    Introduction: Lumbar puncture is a procedure frequently used in anesthetic practice. For the success of the procedure, prediction of skin to subarachnoid space distance (SSD) is valuable. In this study, we aimed to evaluate the relationship between SSD with age and body mass index (BMI). Methods: Two hundred and fifty patients, ASA physical status I, II, and III scheduled to undergo elective surgery under spinal anesthesia, were studied. Spinal anesthesia was induced in the sitting position at the L3–4 vertebral level using a midline approach. Furthermore, the level of L3–L4 was identified by palpation, using Tuffier’s line as a guide. Following an intrathecal injection, the spinal needle was grasped between the thumb and the index finger during its removal from the patient’s back. From the grasping point, SSD was measured using rulers. Results: Mean values of SSD at the L3-4 interspace were 55.43±6.47 mm (range 35-74). Statistically significant correlations were observed between SSD with BMI and body weight (ρ=0.650, P<0.001 and ρ=0.651, P<0.001, respectively). Statistically significant correlation was not found between SSD with age, gender and body height (ρ=0.120, P=0.058; ρ=-0.047, P=0.4568 and ρ=0.089, P=0.159, respectively). Conclusions: SSD is affected by BMI and body weight but not by age, gender and body height

    Evaluation of factors that affect skin to subarachnoid space distance

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    Introduction: Lumbar puncture is a procedure frequently used in anesthetic practice. For the success of the procedure, prediction of skin to subarachnoid space distance (SSD) is valuable. In this study, we aimed to evaluate the relationship between SSD with age and body mass index (BMI). Methods: Two hundred and fifty patients, ASA physical status I, II, and III scheduled to undergo elective surgery under spinal anesthesia, were studied. Spinal anesthesia was induced in the sitting position at the L3–4 vertebral level using a midline approach. Furthermore, the level of L3–L4 was identified by palpation, using Tuffier’s line as a guide. Following an intrathecal injection, the spinal needle was grasped between the thumb and the index finger during its removal from the patient’s back. From the grasping point, SSD was measured using rulers. Results: Mean values of SSD at the L3-4 interspace were 55.43±6.47 mm (range 35-74). Statistically significant correlations were observed between SSD with BMI and body weight (ρ=0.650, P<0.001 and ρ=0.651, P<0.001, respectively). Statistically significant correlation was not found between SSD with age, gender and body height (ρ=0.120, P=0.058; ρ=-0.047, P=0.4568 and ρ=0.089, P=0.159, respectively). Conclusions: SSD is affected by BMI and body weight but not by age, gender and body height

    Incidence and clinical characteristics of acute rheumatic fever in Turkey: Results of a nationwide multicentre study

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    © 2021 Paediatrics and Child Health Division (The Royal Australasian College of Physicians)Aim: To evaluate the incidence and clinical features of acute rheumatic fever (ARF) in Turkey, following the revised Jones criteria in 2015. Methods: This multicentre study was designed by the Acquired Heart Diseases Working Group of the Turkish Pediatric Cardiology and Pediatric Cardiac Surgery Association in 2016. The data during the first attack of 1103 ARF patients were collected from the paediatric cardiologists between 1 January 2016 and 31 December 2016. Results: Turkey National Institute of Statistics records of 2016 were used for the determination of ARF incidence with regard to various cities and regions separately. The estimated incidence rate of ARF was 8.84/100 000 in Turkey. The ARF incidence varied considerably among different regions. The highest incidence was found in the Eastern Anatolia Region as 14.4/100 000, and the lowest incidence was found in the Black Sea Region as 3.3/100 000 (P < 0.05). Clinical carditis was the most common finding. The incidence of clinical carditis, subclinical carditis, polyarthritis, aseptic monoarthritis, polyarthralgia and Sydenham's Chorea was 53.5%, 29.1%, 52.8%, 10.3%, 18.6% and 7.9%, respectively. The incidences of clinical carditis, subclinical carditis, polyarthritis and polyarthralgia were found to be significantly different among different regions (P < 0.05). Conclusion: The findings of this nationwide screening of ARF suggest that Turkey should be included in the moderate-risk group
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