2.Three-dimensional pelvis computed tomography-assisted Taylor approach for spinal anesthesia in hip arthroplasty: a retrospective study
Saecheol OH ; Yoojung PARK ; Hana KWOUN ; Eunjin EOM ; Dal-ah KIM
Korean Journal of Anesthesiology 2023;76(1):12-16
Background:
Needle insertion for spinal anesthesia using the Taylor approach is challenging as the L5-S1 space is difficult to locate from the surface anatomy. In this study, we suggest the use of three-dimensional (3D) pelvis computed tomography (CT) to assist anesthesiologists in locating the needle insertion point. By comparing the success rate of 3D pelvis CT-assisted Taylor approach to that of other approaches in the existing literatures, we suggest this technique as an alternative method for subarachnoid block in the L5-S1 space.
Methods:
In this retrospective observational study, we reviewed the records of hip arthroplasty using the 3D pelvis CT-assisted Taylor approach. An imaginary guidance line was created from the intersection point of the midline and intercristal line on the posterior view of the 3D pelvis CT to the ideal skin insertion point for Taylor approach. The primary outcome was the success rate. The secondary outcomes included the angle between the intercristal line and the guidance line, and the length of the guidance line and the distance between the ideal needle insertion point and the L5-S1 space.
Results:
We reviewed the records of the 276 patients who underwent hip arthroplasty using 3D CT-assisted Taylor approach. In this cohort, the 3D CT-assisted Taylor approach in L5-S1 subarachnoid block failed in only 25/276 patients. The success rate of 3D CT-assisted Taylor approach was 90.9%.
Conclusions
A 3D pelvis CT-assisted Taylor approach of spinal anesthesia can be an alternative method for subarachnoid block in the L5-S1 space with an acceptable success rate.
3.Associated Factors for Asthma Severity in Korean Children: A Korean Childhood Asthma Study
Eun LEE ; Dae Jin SONG ; Woo Kyung KIM ; Dong In SUH ; Hey Sung BAEK ; Meeyong SHIN ; Young YOO ; Jin Tack KIM ; Ji Won KWON ; Gwang Cheon JANG ; Dae Hyun LIM ; Hyeon Jong YANG ; Hwan Soo KIM ; Ju Hee SEO ; Sung Il WOO ; Hyung Young KIM ; Youn Ho SHIN ; Ju Suk LEE ; Jisun YOON ; Sungsu JUNG ; Minkyu HAN ; Eunjin EOM ; Jinho YU
Allergy, Asthma & Immunology Research 2020;12(1):86-98
PURPOSE: Childhood asthma has a considerable social impact and economic burden, especially in severe asthma. This study aimed to identify the proportion of childhood asthma severity and to evaluate associated factors for greater asthma severity. METHODS: This study was performed on 667 children aged 5–15 years with asthma from the nationwide 19 hospitals in the Korean childhood Asthma Study (KAS). Asthma was classified as mild intermittent, mild persistent, and moderate/severe persistent groups according to the National Asthma Education and Prevention Program recommendations. Multinomial logistic regression models were used to identify the associated factors for greater asthma severity. RESULTS: Mild persistent asthma was most prevalent (39.0%), followed by mild intermittent (37.6%), moderate persistent (22.8%), and severe persistent asthma (0.6%). Onset later than 6 years of age (adjusted odds ratio [aOR], 1.69 for mild persistent asthma; aOR, 1.92 for moderate/severe persistent asthma) tended to increase asthma severity. Exposure to environmental tobacco smoke (aOR, 1.53 for mild persistent asthma; aOR, 1.85 for moderate/severe persistent asthma), and current dog ownership with sensitization to dog dander (aOR, 5.86 for mild persistent asthma; aOR, 6.90 for moderate/severe persistent asthma) showed increasing trends with greater asthma severity. Lower maternal education levels (aOR, 2.32) and no usage of an air purifier in exposure to high levels of outdoor air pollution (aOR, 1.76) were associated with moderate/severe persistent asthma. CONCLUSIONS: Modification of identified environmental factors associated with greater asthma severity might help better control childhood asthma, thereby reducing the disease burden due to childhood asthma.
Air Filters
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Air Pollution
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Animals
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Asthma
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Child
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Dander
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Dogs
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Education
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Environmental Exposure
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Humans
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Logistic Models
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Odds Ratio
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Ownership
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Risk Factors
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Smoke
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Social Change
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Tobacco