Objective To develop an ICU patient care difficulty index based on psychosocial factors and to evaluate its reliability and validity,thereby providing a comprehensive tool for assessing the difficulties in ICU patient care.Methods Guided by Guarinoni theory,an index system was developed through systematic literature reviews,semi-structured interviews,two rounds of Delphi expert consultation and the analytic hierarchy process.Based on the drafted system,a questionnaire was formulated.The tests for validity and reliability were conducted on 290 patients selected by convenience sampling.Results The finalised ICU patient care difficulty index system was composed of 5 primary indices(the general condition of the patient,disease condition,nursing condition,social support,and organizational characteristics),13 secondary indices and 27 tertiary indices.The Kendall's coefficient of coordination W values were 0.380 and 0.498,respectively,indicating a statistically significant agreement(both P<0.001).The system demonstrated a robust reliability(Cronbach's α=0.896)and a good internal consistency.Validity was confirmed through a scale level-content validity index(S-CVI)of 0.94 and the item level-content validity indices(I-CVI)ranged from 0.87 to 1.00.Structural validity analysis,based on 8 extracted public factors,showed a cumulative variance contribution rate of 66.34%.Conclusion The ICU patient care difficulty index system shows a high reliability and validity,making it a valuable tool for accurately quantification of the difficulty in ICU patient care.This system provides a scientific basis for allocation of ICU nursing resource and performance distribution.

Against the backdrop of the in-depth advancement of the integration of medical treatment and disease prevention strategy and the increasingly prominent challenges in public health emergency response,it is urgently necessary to build a modern health emergency management system featuring"medical and preventive collaboration and integration".By sorting out the concept,component elements and functional positioning of the emergency management system in public hospitals,it explores the basic framework and key links of the emergency management system in public hospitals,and ensures the effective implementation of the system through multi-dimensional collaborative efforts.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

Objective To analyze the clinical characteristics of renal cell carcinoma patients with extracapsular segmental vein tumor thrombus during partial nephrectomy and to explore the clinical significance,thereby contributing to an advanced comprehension of the pathogenesis of cancer thrombus in renal cell carcinoma.Methods A retrospective analysis was conducted on the clinical data of 209 renal cell carcinoma patients(162 with T1a stage,47 with T1b stage)who underwent partial nephrectomy in our hospital during Sep.2023 and Jul.2025.Among them,8 patients with extracapsular segmental vein tumor thrombus were identified,and the clinical and pathological characteristics were analyzed.Results Among the 8 cases of extracapsular segmental vein tumor thrombus,1 was in T1a stage and 7 were in T1b stage.Preoperativc CT revealed roundish,solid renal masses with heterogeneous density on non-contrast scans,significant enhancement on contrast-enhanced scans,and markedly weaker enhancement in the renal parenchymal phase compared to normal renal tissue.The average tumor diameter was(4.9±0.2)cm,with clear boundaries and no evidence of vascular invasion.Postoperative pathology confirmed clear cell carcinoma in all cases,with International Society of Urological Pathology(ISUP)grades ranging from Ⅰ to Ⅳ,and all surgical margins were negative.After surgery,5 patients received adjuvant immunotherapy.In a median follow-up of 10.3(3.8-22.8)months,no tumor recurrence or metastasis was observed.Conclusion Renal cell carcinoma has a high propensity of vascular invasion,and even clinically staged T1 tumors may develop extracapsular segmental vein tumor thrombus.This finding is significant for clinical prognosis.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

Objective To analyze the clinical characteristics of renal cell carcinoma patients with extracapsular segmental vein tumor thrombus during partial nephrectomy and to explore the clinical significance,thereby contributing to an advanced comprehension of the pathogenesis of cancer thrombus in renal cell carcinoma.Methods A retrospective analysis was conducted on the clinical data of 209 renal cell carcinoma patients(162 with T1a stage,47 with T1b stage)who underwent partial nephrectomy in our hospital during Sep.2023 and Jul.2025.Among them,8 patients with extracapsular segmental vein tumor thrombus were identified,and the clinical and pathological characteristics were analyzed.Results Among the 8 cases of extracapsular segmental vein tumor thrombus,1 was in T1a stage and 7 were in T1b stage.Preoperativc CT revealed roundish,solid renal masses with heterogeneous density on non-contrast scans,significant enhancement on contrast-enhanced scans,and markedly weaker enhancement in the renal parenchymal phase compared to normal renal tissue.The average tumor diameter was(4.9±0.2)cm,with clear boundaries and no evidence of vascular invasion.Postoperative pathology confirmed clear cell carcinoma in all cases,with International Society of Urological Pathology(ISUP)grades ranging from Ⅰ to Ⅳ,and all surgical margins were negative.After surgery,5 patients received adjuvant immunotherapy.In a median follow-up of 10.3(3.8-22.8)months,no tumor recurrence or metastasis was observed.Conclusion Renal cell carcinoma has a high propensity of vascular invasion,and even clinically staged T1 tumors may develop extracapsular segmental vein tumor thrombus.This finding is significant for clinical prognosis.

Objective To develop an ICU patient care difficulty index based on psychosocial factors and to evaluate its reliability and validity,thereby providing a comprehensive tool for assessing the difficulties in ICU patient care.Methods Guided by Guarinoni theory,an index system was developed through systematic literature reviews,semi-structured interviews,two rounds of Delphi expert consultation and the analytic hierarchy process.Based on the drafted system,a questionnaire was formulated.The tests for validity and reliability were conducted on 290 patients selected by convenience sampling.Results The finalised ICU patient care difficulty index system was composed of 5 primary indices(the general condition of the patient,disease condition,nursing condition,social support,and organizational characteristics),13 secondary indices and 27 tertiary indices.The Kendall's coefficient of coordination W values were 0.380 and 0.498,respectively,indicating a statistically significant agreement(both P<0.001).The system demonstrated a robust reliability(Cronbach's α=0.896)and a good internal consistency.Validity was confirmed through a scale level-content validity index(S-CVI)of 0.94 and the item level-content validity indices(I-CVI)ranged from 0.87 to 1.00.Structural validity analysis,based on 8 extracted public factors,showed a cumulative variance contribution rate of 66.34%.Conclusion The ICU patient care difficulty index system shows a high reliability and validity,making it a valuable tool for accurately quantification of the difficulty in ICU patient care.This system provides a scientific basis for allocation of ICU nursing resource and performance distribution.

Against the backdrop of the in-depth advancement of the integration of medical treatment and disease prevention strategy and the increasingly prominent challenges in public health emergency response,it is urgently necessary to build a modern health emergency management system featuring"medical and preventive collaboration and integration".By sorting out the concept,component elements and functional positioning of the emergency management system in public hospitals,it explores the basic framework and key links of the emergency management system in public hospitals,and ensures the effective implementation of the system through multi-dimensional collaborative efforts.

Objective:To summarize the best evidence for postoperative nursing of infants with head and neck hemangiomas.Methods:This study retrieved systematic reviews, guidelines, expert consensus and other literatures related to postoperative nursing for infants with head and neck hemangiomas from domestic and foreign guide websites, relevant society websites, and databases through computer search. The search period was from the establishment of the database to December 31, 2021. Article quality evaluation and evidence level assessment were conducted to summarize the best evidence for postoperative nursing of infants with head and neck hemangiomas.Results:A total of 5 articles were included, including 2 systematic reviews, 2 guidelines, 1 expert consensus, and 17 pieces of best evidence were formed.Conclusions:Based on the existing literature, the best evidence for postoperative nursing of infants with head and neck hemangiomas is scientific and comprehensive, and it is recommended that medical staff formulate localized practice plans based on the actual clinical situation for evidence application.

Purpose To explore the value of insulinoma associated protein 1(INSM1)in the pathological diagnosis and differential diagnosis of medullary thyroid carcinoma(MTC).Methods Twenty-eight cases of MTC were collected as the ex-perimental group and 25 cases of thyroid tumors(6 cases of transparent trabecular tumors,16 cases of poorly differentiated cancer,2 cases of spindle cell papillary carcinoma,and 1 case of thyroid paraganglioma)that needed to be differentiated from MTC in the same period were collected as the control group.The expression of INSM1 was detected using immunohistochemical EnVision method,and the sensitivity and specificity of INSM1 in MTC were analyzed,and compared with traditional MTC markers(Syn,CgA,CT,and CEA).Results The positive rate of IN-SM1 in the MTC group was96.4%(27/28),significantly high-er than the control group of 4.0%(1/25)(P<0.05).INSM1 had a sensitivity of 96.4%in MTC,significantly higher than CgA(71.4%)(P<0.05),and was positively expressed in CT negative MTC cases.The specificity of INSM1 in MTC was 96.0%,significantly higher than that of CEA(72.0%)(P<0.05).Conclusion INSM1 has high sensitivity and specificity in MTC,with a nuclear positive staining pattern,clear back-ground,and easy identification.It is superior to the traditional biomarkers and has high diagnostic value in MTC.