Dataset Information

Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling.

ABSTRACT: These data present the characteristics of patients with subarachnoid hemorrhage who underwent endovascular coiling. We retrospectively collected data from the medical records of Iwaki City Medical Center including physiological symptoms, laboratory data, radiological data on admission, and modified Rankin Scale scores at 6 months. Our article entitled "Temporal Muscle as an Indicator of Sarcopenia is Independently Associated with Hunt and Kosnik Grade on Admission and the Modified Rankin Scale at 6 Month of Patients with Subarachnoid Hemorrhage Treated by Endovascular Coiling" was based on these data [1]. We previously reported similar small dataset of elderly patients with subarachnoid hemorrhage who underwent surgical clipping [2], [3]. However, remarkably, this is the largest and the first dataset on temporal muscle thickness or area of patients of all ages with subarachnoid hemorrhage who underwent endovascular coiling, not surgical clipping.

SUBMITTER: Katsuki M

PROVIDER: S-EPMC7243052 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling.

Katsuki Masahito M Suzuki Yasuhiro Y Kunitoki Keiko K Sato Yoshimichi Y Sasaki Keisuke K Mashiyama Shoji S Matsuoka Ryo R Allen Elissa E Saimaru Hibiki H Sugawara Ryota R Hotta Akinori A Tominaga Teiji T

Data in brief 20200518

These data present the characteristics of patients with subarachnoid hemorrhage who underwent endovascular coiling. We retrospectively collected data from the medical records of Iwaki City Medical Center including physiological symptoms, laboratory data, radiological data on admission, and modified Rankin Scale scores at 6 months. Our article entitled "Temporal Muscle as an Indicator of Sarcopenia is Independently Associated with Hunt and Kosnik Grade on Admission and the Modified Rankin Scale a ...[more]

PMID: 32462071

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Project description:BackgroundEndovascular treatment for aneurysmal subarachnoid hemorrhage (aSAH) has high fatality and permanent disability rates. It remains unclear how the prognosis is determined by the complex interaction between clinical severity and aneurysm characteristics.ObjectiveThis study aimed to design an accurate prognostic prediction model for aSAH patients after endovascular treatment and elucidate the interaction between clinical severity and aneurysm characteristics.MethodsWe used a clinically homogeneous data set with 1029 aSAH patients who received endovascular treatment to develop prognostic models. Aneurysm characteristics were measured by variables, such as aneurysm size, neck size, and dome-to-neck ratio, while clinical severity on admission was measured by both comorbidities and neurological condition. In total, 18 clinical variables were used for prognostic prediction. Considering the imbalance between the favorable and the poor outcomes in this clinical population, both ensemble learning and deep reinforcement learning approaches were used for prediction.ResultsThe random forest (RF) model was selected as the best approach for the prognostic prediction for all patients and also for patients with good-grade aSAH. Using an independent test data set, the model made accurate predictions (AUC = 0.869 ± 0.036, sensitivity = 0.709 ± 0.087, specificity = 0.805 ± 0.034) with the clinical severity on admission as a leading contributor to the prediction. For patients with good-grade aSAH, the RF model performed the best (AUC = 0.805 ± 0.034, sensitivity = 0.620 ± 0.172, specificity = 0.696 ± 0.043) with aneurysm characteristics as leading contributors. The classic scoring systems failed in this patient group (AUC < 0.600; sensitivity = 0.000, specificity = 1.000).ConclusionThe proposed prognostic prediction model outperformed the classic scoring systems for patients with aSAH after endovascular treatment, especially when the classic scoring systems failed to make any informative prediction for patients with good-grade aSAH, who constitute the majority group (79%) of this clinical population.

Dataset Information

Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling.

Publications

Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling.

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