Objective To investigate the short-term efficacy of the retrograde semi-retrieval technique(RESET)in the treatment of patients with acute intracranial large vessel occlusion.Methods This retrospective study involved 286 patients with acute intracranial large vessel occlusion who underwent mechanical thrombectomy using RESET at Tianjin Huanhu Hospital from November 2017 to March 2019.The patients were divided into two groups based on the presence or absence of intracranial atherosclerotic stenosis(ICAS):ICAS group(n=186,65％)and non-ICAS group(n=100,35％).Baseline characteristics,procedural outcomes,and 90-day modified Rankin Scale(mRS)scores were compared between the two groups.Results The two groups did not significantly differ in baseline characteristics,including age,gender,past medical history,on-admission National Institutes of Health Stroke Scale(NIHSS)score,and Alberta Stroke Program Early CT(ASPECT)score(all P＞0.05).Successful vascular recanalization was achieved in 272 patients(95.1％),with 209 patients(73.1％)achieving complete recanalization with a single thrombectomy attempt.Rescue therapy was required in 33 patients(11.5％).Two patients in the ICAS group died due to postoperative symptomatic intracranial hemorrhage,and one patient in the non-ICAS group died due to postoperative multiple organ failure.Compared with the non-ICAS group,the ICAS group had a significantly longer puncture-to-recanalization time[141.36(124.11,156.53)min vs.65.17(53.92,83.25)min,P＜0.001]but a significantly smaller number of thrombectomy attempts[1.00(1.00,1.00)vs.1.00(1.00,2.00),P=0.002].However,there were no significant differences between the two groups in terms of final recanalization rate,complete recanalization rate with a single thrombectomy attempt,distal embolism or embolization of new territory,symptomatic intracranial hemorrhage,perioperative death,or 90-day mRS score(all P＞0.05).Conclusion RESET demonstrates satisfactory short-term efficacy in the treatment of acute intracranial large vessel occlusion.The number of thrombectomy attempts required for complete recanalization is significantly lower in the ICAS group than in the non-ICAS group,suggesting that RESET is particularly suitable for patients with ICAS.

Objective:To systematically analyze the incidence and influencing factors of frailty in elderly patients with hematologic malignancies.Methods:Research on frailty in elderly patients with hematologic malignancies was retrieved from Chinese and English databases such as China National Knowledge Infrastructure, Wanfang Data, PubMed, and Web of Science. The search period was from database establishment to August 23, 2024. Two researchers screened the included studies, conducted quality assessment, and extracted data. Meta-analysis was conducted using Stata 18 and RevMan 5.4.Results:A total of seven studies were included, encompassing 19 076 elderly hematologic malignancy patients, with a frailty incidence of 59% [95% CI (0.48, 0.69) ]. Meta-analysis revealed that age [ MD=4.31, 95% CI (3.67, 4.96) ], gender [ OR=0.88, 95% CI (0.83, 0.93) ], alcohol consumption [ OR=1.67, 95% CI (1.15, 2.44) ], self-care ability [ MD=-1.79, 95% CI (-3.17, -0.41) ], anemia [ OR=6.67, 95% CI (2.94, 15.14) ], infection [ OR=1.81, 95% CI (1.16, 2.84) ], and neuropathy [ OR=2.52, 95% CI (1.38, 4.61) ] were the influencing factors of frailty in elderly patients with hematologic malignancies. Conclusions:The incidence of frailty is high in elderly patients with hematologic malignancies. Elderly patients with hematologic malignancies who are older, female, consume alcohol, have low self-care ability, anemia, infections, and neuropathy are prone to frailty. Healthcare providers can conduct early screening and intervention for high-risk populations of frailty based on risk factors to improve the quality of life for elderly hematologic malignancy patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To systematically analyze the incidence and influencing factors of frailty in elderly patients with hematologic malignancies.Methods:Research on frailty in elderly patients with hematologic malignancies was retrieved from Chinese and English databases such as China National Knowledge Infrastructure, Wanfang Data, PubMed, and Web of Science. The search period was from database establishment to August 23, 2024. Two researchers screened the included studies, conducted quality assessment, and extracted data. Meta-analysis was conducted using Stata 18 and RevMan 5.4.Results:A total of seven studies were included, encompassing 19 076 elderly hematologic malignancy patients, with a frailty incidence of 59% [95% CI (0.48, 0.69) ]. Meta-analysis revealed that age [ MD=4.31, 95% CI (3.67, 4.96) ], gender [ OR=0.88, 95% CI (0.83, 0.93) ], alcohol consumption [ OR=1.67, 95% CI (1.15, 2.44) ], self-care ability [ MD=-1.79, 95% CI (-3.17, -0.41) ], anemia [ OR=6.67, 95% CI (2.94, 15.14) ], infection [ OR=1.81, 95% CI (1.16, 2.84) ], and neuropathy [ OR=2.52, 95% CI (1.38, 4.61) ] were the influencing factors of frailty in elderly patients with hematologic malignancies. Conclusions:The incidence of frailty is high in elderly patients with hematologic malignancies. Elderly patients with hematologic malignancies who are older, female, consume alcohol, have low self-care ability, anemia, infections, and neuropathy are prone to frailty. Healthcare providers can conduct early screening and intervention for high-risk populations of frailty based on risk factors to improve the quality of life for elderly hematologic malignancy patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To summarize the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer, so as to provide reference for alleviating patient frailty.Methods:Guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials and other articles on the frailty management of patients with postoperative chemotherapy for gastric cancer were electronically searched in computerized decision-making systems such as UpToDate, BMJ Best Practice, and Guidelines International Network, in comprehensive databases such as PubMed, Embase, and Web of Science, and in the websites of professional societies. The search period was from database establishment to September 15, 2024. Two researchers independently screened the literature and evaluated the quality of the included literature, combining professional judgment to extract and summarize the best evidence.Results:A total of 18 papers were included, including two clinical decisions, one evidence summary, eight guidelines, two expert consensus, one systematic review, one randomized controlled trial, two quasi-experimental studies, and one observational study. The best evidence included a total of 34 pieces in seven aspects of comprehensive screening, nursing plan construction, preoperative prehabilitation, nutritional interventions, Chinese medicine interventions, exercise interventions, and psychological interventions for frailty.Conclusions:The summary of the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer may provide an evidence-based basis for frailty interventions by clinical medical and staff.

The rapid development of artificial intelligence （AI） technology provides new opportunities for the modernisation of traditional Chinese medicine （TCM） diagnosis. By analysing the foundation， research progress and difficulties of the combination of AI and TCM diagnosis， it is concluded that AI has made remarkable development in intelligence-driven modernization of TCM tongue diagnosis， pulse diagnosis， listening and smelling diagnosis and text processing， and there are useful explorations in the field of constructing data-driven TCM diagnostic model and multidisciplinary integration of TCM diagnostic models. However， the current integration of AI technology in TCM diagnosis still faces many challenges， such as the scarcity and uneven quality of clinical data， the limited ability of AI algorithms to express TCM thinking model of syndrome differentiation and empirical knowledge， and the possible existence of ethical and privacy issues. By systematically sorting out the current research status and development direction of AI-empowered TCM diagnostics， it is proposed to promote the application of AI technology in TCM diagnostics in four aspects， namely， strengthening the construction of TCM big data and talent cultivation， encouraging cross-disciplinary cooperation， improving the legal and ethical framework， and promoting the popularity of the technology in primary care， so as to enhance the modernisation of TCM diagnostics.

Objective To investigate the short-term efficacy of the retrograde semi-retrieval technique(RESET)in the treatment of patients with acute intracranial large vessel occlusion.Methods This retrospective study involved 286 patients with acute intracranial large vessel occlusion who underwent mechanical thrombectomy using RESET at Tianjin Huanhu Hospital from November 2017 to March 2019.The patients were divided into two groups based on the presence or absence of intracranial atherosclerotic stenosis(ICAS):ICAS group(n=186,65％)and non-ICAS group(n=100,35％).Baseline characteristics,procedural outcomes,and 90-day modified Rankin Scale(mRS)scores were compared between the two groups.Results The two groups did not significantly differ in baseline characteristics,including age,gender,past medical history,on-admission National Institutes of Health Stroke Scale(NIHSS)score,and Alberta Stroke Program Early CT(ASPECT)score(all P＞0.05).Successful vascular recanalization was achieved in 272 patients(95.1％),with 209 patients(73.1％)achieving complete recanalization with a single thrombectomy attempt.Rescue therapy was required in 33 patients(11.5％).Two patients in the ICAS group died due to postoperative symptomatic intracranial hemorrhage,and one patient in the non-ICAS group died due to postoperative multiple organ failure.Compared with the non-ICAS group,the ICAS group had a significantly longer puncture-to-recanalization time[141.36(124.11,156.53)min vs.65.17(53.92,83.25)min,P＜0.001]but a significantly smaller number of thrombectomy attempts[1.00(1.00,1.00)vs.1.00(1.00,2.00),P=0.002].However,there were no significant differences between the two groups in terms of final recanalization rate,complete recanalization rate with a single thrombectomy attempt,distal embolism or embolization of new territory,symptomatic intracranial hemorrhage,perioperative death,or 90-day mRS score(all P＞0.05).Conclusion RESET demonstrates satisfactory short-term efficacy in the treatment of acute intracranial large vessel occlusion.The number of thrombectomy attempts required for complete recanalization is significantly lower in the ICAS group than in the non-ICAS group,suggesting that RESET is particularly suitable for patients with ICAS.

Objective:To summarize the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer, so as to provide reference for alleviating patient frailty.Methods:Guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials and other articles on the frailty management of patients with postoperative chemotherapy for gastric cancer were electronically searched in computerized decision-making systems such as UpToDate, BMJ Best Practice, and Guidelines International Network, in comprehensive databases such as PubMed, Embase, and Web of Science, and in the websites of professional societies. The search period was from database establishment to September 15, 2024. Two researchers independently screened the literature and evaluated the quality of the included literature, combining professional judgment to extract and summarize the best evidence.Results:A total of 18 papers were included, including two clinical decisions, one evidence summary, eight guidelines, two expert consensus, one systematic review, one randomized controlled trial, two quasi-experimental studies, and one observational study. The best evidence included a total of 34 pieces in seven aspects of comprehensive screening, nursing plan construction, preoperative prehabilitation, nutritional interventions, Chinese medicine interventions, exercise interventions, and psychological interventions for frailty.Conclusions:The summary of the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer may provide an evidence-based basis for frailty interventions by clinical medical and staff.

Climate change poses a significant threat to public health. Existing studies on the health impacts of climate change focus primarily on chronic and infectious diseases, with limited research on injury. To address this gap, this issue launched a special column titled "Climate change and injuries". Through interdisciplinary integration of atmospheric science and public health, we explored the impact of climate change on injury risk and burden from diverse perspectives. This initiative aims to deepen a comprehensive understanding of the impact of climate change on human health, enhance China's capacity to address climate-related health risks, reduce associated disease burden, and provide scientific evidence for targeted adaptation measures.