基于术前人体测量评估的皮肤到蛛网膜下腔深度预测:一项观察性研究

Mamta Khandelwal, Ekta Tiwari, Priyanka Jain, Chitra Singh, Nachiketa Bharadwaj, Darshan N
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引用次数: 0

摘要

背景与目的:在注射药物时,准确放置脊髓针是避免蛛网膜下腔阻滞(SAB)失败的关键。穿刺前估计皮肤到蛛网膜下腔深度(SSD)可以指导准确的脊髓针放置。本研究旨在基于术前人体测量评估预测皮肤到蛛网膜下腔的深度,并找出预测SSD的公式,与观察深度相比,在精度方面最适合。方法:以本院为基础的前瞻性观察性研究,共纳入120例患者,其中男性68例,女性(未怀孕)52例,平均年龄59.75±14.1 kg。在SAB后测量SSD。将该SSD与使用Abe’s、Bonadio’s、Craig’s、Stocker’s和Chong’s修正公式计算的预测SSD进行比较。对定量数据进行了非配对t检验,以确定最适合的公式来预测我们人群中SSD的准确性和易用性。并进行Pearson相关检验。结果:整个研究人群的SSD为4.96±0.67 cm。Stocker公式最接近,平均差值为0.17cm。雄鼠的平均观察深度(5.06±0.60 cm)大于未怀孕雌鼠(4.83±0.74cm)。这些人体测量变量具有统计学意义,呈现值为<0.001。结论:在众多公式中,Stocker公式对印度人群的SSD预测最为准确。
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Prediction of depth from skin to subarachnoid space based on preoperative anthropometric assessment: an observational study
Background and aim: An accurate placement of spinal needle is crucial while injecting drugs to avoid a failed sub arachnoid block (SAB). A pre puncture estimation of skin to subarachnoid depth (SSD) may guide accurate spinal needle placement. This study is aimed to predict the depth from skin to subarachnoid space based on pre-operative anthropometric assessment and to find out formula for predicting SSD, best suited in terms of accuracy when compared with observed depth. Method: In this hospital based, prospective, observational study, a total of 120 patients, of which 68 were men, and 52 were women (non-pregnant) with a mean age of 59.75 ±14.1 kilograms. The SSD was measured after SAB was performed. This SSD was compared with the predicted SSD calculated using the Abe’s, Bonadio’s, Craig’s, Stocker’s, and Chong’s modified formulae. Analysis was done using unpaired t test for quantitative data to determine best suited formula to predict SSD in our population in terms of both accuracy and ease of application. Pearson correlation test was also done. Results: The observed SSD in the overall study population was 4.96 ± 0.67 cm. Stocker’s formula is closest with a mean difference of 0.17cm. In males the mean observed depth was (5.06±0.60 cm) more than that in the non-pregnant female population (4.83±0.74cm). These anthropometric variables were statistically significant with a presentation value of <0.001. Conclusion: Among various formulae Stocker’s formula can most accurately predict the SSD when applied to Indian population.
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