Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

OBJECTIVETo compare the clinical efficacy on upper limb motor impairment in stroke between the interactive dynamic scalp acupuncture therapy and the traditional scalp acupuncture therapy.

METHODSThe randomized controlled trial and MINIMIZE layering randomization software were adopted. Seventy patients of upper limb with III to V grade in Brunnstrom scale after stroke were randomized into an interactive dynamic scalp acupuncture group and a traditional scalp acupuncture group, 35 cases in each one. In the interactive dynamic scalp acupuncture group, the middle 2/5 of Dingnieqianxiexian (anterior oblique line of vertex-temporal), the middle 2/5 of Dingniehouxiexian (posterior oblique line of vertex-temporal) and Dingpangerxian (lateral line 2 of vertex) on the affected side were selected as the stimulation areas. Additionally, the rehabilitation training was applied during scalp acupuncture treatment. In the traditional scalp acupuncture group, the scalp stimulation areas were same as the interactive dynamic scalp acupuncture group. But the rehabilitation training was applied separately. The rehabilitation training was applied in the morning and the scalp acupuncture was done in the afternoon. The results in Fugl-Meyer for the upper limb motor function (U-FMA), the Wolf motor function measure scale (WM- FT) and the modified Barthel index in the two groups were compared between the two groups before treatment and in 1 and 2 months of treatment, respectively.

RESULTSAfter treatment, the U-FMA score, WMFT score and the score of the modified Barthel index were all apparently improved as compared with those before treatment (all P < 0.01). The improvement in the U-FMA score after treatment in the interactive dynamic scalp acupuncture group was better than that in the traditional scalp acupuncture group (P < 0.05). For the patients of IV to V grade in Brunnstrom scale, WMFT score in 2 months of treatment and the score of Barthel index after treatment in the interactive dynamic scalp acupuncture group were improved apparently as compared with those in the traditional scalp acupuncture group (P < 0.05, P < 0.01). But, for the patients of III grade in Brunnstrom scale, WMFT score and the score of Barthel index after treatment in the interactive dynamic scalp acupuncture group were not different significantly as compared with those in the traditional scalp acupuncture group (both P > 0.05).

CONCLUSIONFor the patients of IV to V grade in Brunnstrom scale in stroke, the interactive dynamic scalp acupuncture therapy achieves the superior improvements of the upper limb motor function and the activity of daily life as compared with the traditional scalp acupuncture therapy, and the longer the treatment lasts, the more apparent the improvements are. For the patients of III grade in Brunnstrom scale, the interactive dynamic scalp acupuncture therapy achieves the similar improvement in the upper limb motor impairment as compared with the traditional scalp acupuncture therapy.

Activities of Daily Living ; Acupuncture Points ; Acupuncture Therapy ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Occupational Therapy ; Scalp ; Stroke ; physiopathology ; therapy ; Stroke Rehabilitation ; Treatment Outcome ; Upper Extremity ; physiopathology