Objectives:To develop modified prehospital stroke scales and to evaluate their predictive value for in-hospital acute large vessel occlusion (LVO) stroke.Methods:Patients admitted to Dongtai People's Hospital due to non-stroke-related diseases and activated the in-hospital stroke green channel due to suspected stroke symptoms during hospitalization from January 2015 to December 2022 were included retrospectively. According to the final imaging diagnosis, they were divided into LVO group and non-LVO group. The five prehospital stroke scales included Field Assessment Stroke Triage for Emergency Destination (FAST-ED), Rapid Arterial Occlusion Evaluation (RACE), Los Angeles Motor Scale (LAMS), Cincinnati Prehospital Stroke Severity Scale (CPSSS), and Prehospital Acute Stroke Severity Scale (PASS). Multivariate logistic regression analysis was used to determine independent predictive factors of LVO in patients with in-hospital stroke, and incorporating them into the prehospital stroke scale to develop modified scales. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of the modified scales. Results:A total of 174 patients with in-hospital stroke were enrolled, including 92 males (52.9%), aged 65.7±11.9 years. Fifty-four patients (31.0%) had LVO, and 59 (33.9%) had a surgical history within 3 days before the onset of stroke, mainly cardiopulmonary surgeries. Multivariate logistic regression analysis showed that atrial fibrillation (odds ratio 2.940, 95% confidence interval 1.387-6.230; P=0.005) and recent history of cardiopulmonary surgery (odds ratio 6.861, 95% confidence interval 2.437-11.315; P<0.001) were the independent predictive factors of LVO in patients with in-hospital stroke. According to the β coefficient and ROC curve, they were assigned a score of 1 and included in the prehospital stroke scale. The area under the curve of the modified scale for predicting LVO (mRACE: 0.917; mFAST-ED: 0.865; mPASS: 0.859; mCPSSS: 0.853; mLAMS: 0.907) was significantly higher than the corresponding original scale (RACE: 0.888; FAST-ED: 0.820; PASS: 0.786; CPSSS: 0.810; LAMS: 0.859) (all P<0.05). Conclusion:The modified scales based on the prehospital stroke scales can significantly improve the predictive value of in-hospital acute LVO stroke compared to the original prehospital stroke scales.

[Purpose]To analyze cancer incidence and mortality in Liaoning cancer registration areas from 2016 to 2020 and the trends from 2006 to 2020.[Methods]Cancer data in cancer registra-tion areas in Liaoning Province from 2016 to 2020 were collected.The incidence and mortality,age-standardized rate,cumulative rate(0～74 years old),and age-specific rate were calculated.Age-standardized incidence and mortality rate were calculated by the Chinese standard popula-tion(ASIRC,ASMRC)and Segi world standard population(ASIRW,ASMRW).Joinpoint software was applied to analyze the trends of incidence and mortality.[Results]From 2016 to 2020,the crude incidence rate of cancer in Liaoning cancer registration areas was 422.30/105,the ASIRC and ASIRW were 215.67/105 and 209.52/105.The ASIRC was higher in urban areas(225.00/105)than that in rural areas(190.15/105),and higher in male(221.47/105)than that in female(213.03/105).The crude mortality rate was 254.22/105,the ASMRC and ASMRW were 113.26/105 and 112.91/105.The ASMRC in urban areas(113.12/105)was the same as that in rural areas(113.01/105),and higher in male(146.86/105)than that in female(83.46/105).The ASIRW of lung cancer was 46.13/105,and the ASMRW was 32.04/105,both ranking the first of all cancers.From 2006 to 2020,the crude incidence,ASIRC and ASIRW in urban areas showed an increasing trend(AAPC=3.921％,t=16.222,P＜0.05;AAPC=0.823％,t=2.409,P＜0.05;AAPC=0.875％,t=2.933,P＜0.05).The crude incidence,ASIRC and ASIRW in urban female were all rising(AAPC=4.151％,t=15.888,P＜0.05;AAPC=1.597％,t=4.819,P＜0.05;AAPC=1.514％,t=4.752,P＜0.05).During the same period,the cancer mortality in urban areas showed an increasing trend(AAPC=3.175％,t=14.745,P＜0.05),and the ASMRW showed a decreasing trend(AAPC=-0.908％,t=-2.273,P＜0.05).The crude mor-tality of both men and women showed an increasing trend(AAPC=3.010％,t=6.032,P＜0.05;AAPC=2.820％,t=5.921,P＜0.05),while the crude mortality and ASMRW for female showed a significant downward trend(AAPC=-1.487％,t=-2.437,P＜0.05;AAPC=-2.680％,t=-2.246,P＜0.05).From 2016 to 2020,the crude incidence,ASIRC and ASIRW in rural areas showed no significant change;however,the crude incidence in male was increasing(AAPC=2.025％,t=3.853,P＜0.05).In the same period,the crude mortality rate in rural areas increased(AAPC=3.577％,t=9.377,P＜0.05),while there was no significant change in the ASMRC and ASMRW.The crude mortality of both men and women showed an increasing trend(AAPC=3.377％,t=10.615,P＜0.05;AAPC=3.978％,t=7.245,P＜0.05),while there was no significant change in ASMRC and ASMRW.[Conclusion]The cancer burden in Liaoning from 2016 to 2020 was higher than the average level in China,can-cer prevention and control should be further strengthened in the provice.

Objective To explore the influencing factors of hypothermia after extraperitoneal laparoscopic radical prostatectomy in prostate cancer patients over 80 years old,so as to improve the effectiveness of treatment.Methods The clinical data of 26 cases of prostate cancer patients over 80 years old who underwent extraperitoneal laparoscopic radical prostatectomy in Shanghai 411 hospital from January 2021 to December 2023 were analyzed retrospectively.The incidence of postoperative hypothermia was investigated.Univariate and multivariate Logistic regression analyses were used to analyze the related factors of postoperative hypothermia in elderly patients.Results The incidence of hypothermia was 61.54%(16/26).Univariate analysis indicated that body mass index(BMI),intraoperative thermal insulation,intraoperative infusion volume,operation time,and anesthesia time were related to the occurrence of postoperative hypothermia in elderly patients(all P<0.05).Multivariate Logistic regression analysis indicated that BMI≤24,intraoperative infusion volume>2 000 ml,anesthesia time>3 h and operation time>2.5 h were high risk factors for postoperative hypothermia in patients over 80 years old.Conclusion The independent influencing factors of hypothermia after extraperitoneal laparoscopic prostatectomy for selected prostate cancer patients over 80 years old are BMI,intraoperative infusion volume,duration of anesthesia,and operation time.These factors should be paid more attention during perioperative period in order to improve clinical safety.

Objective The aim of this study was to analyze the incidence and mortality of lymphoma and their changing trends in cancer registration areas of Liaoning Province from 2016 to 2020,and to provide data support for lymphoma prevention and treatment.Methods The data of tumor registration areas in Liaoning province from 2016 to 2020 were collected and sorted out,and the crude incidence,mortality,China standardized incidence and mortality,world standardized incidence and mortality,and cumulative rate of lymphoma were calculated;Joinpoint 5.0.2 software was used to analyze the changing trends of the above indicators from 2016 to 2020.Results From 2016 to 2020,the crude incidence of lymphoma in tumor registration areas of Liaoning Province was 7.43/100,000,age-standardized incidence by Chinese standard population(ASIRC)was 4.07/100,000,and age-standardized incidence by world standard population(ASIRW)was 3.95/100,000;the crude mortality was 4.29/100,000,age-standardized mortality by Chi-nese standard population(ASMRC)was 2.07/100,000,and age-standardized mortality by world standard population(ASMRW)was 2.02/100,000.The ASIRC and ASMRC were higher in males(4.62/100,000 and 2.53/100,000,respectively)than in females(3.56/100,000 and 1.61/100,000,respectively),also higher in urban areas(4.65/100,000 and 2.32/100,000,respectively)than in rural areas(2.46/100,000 and 1.65/100,000,respectively).The incidence and mortality of lymphoma increased with age.The in-cidence reached its peak in the 70-79 age group,and the mortality reached its peak in the 80+age group.From 2016 to 2020,the crude incidence of lymphoma increased from 6.86/100,000 to 8.22/100,000,with a statistically significant trend(APC=5.06％,95％CI;1.13％-9.14％,P=0.026).ASIRC increased from 4.01/100,000 to 4.45/100,000,with no statistical significance(P＞0.05).The crude mortality increased from 3.85/100,000 to 4.53/100,000,while ASMRC decreased from 2.02/100,000 to 2.01/100,000,with no statistically significant trend in the two changes(P＞0.05).Conclusions The incidence and mortality of lymphoma in cancer registration areas of Liaoning Province are higher in men than those of women,and higher in cities than those in rural areas,and reach the peak in the elderly group.The prevention and control of key populations and health management should be strength-ened,especially pay attention to the health needs of the elderly population,and explore possible directions for multidisciplinary collab-orative diagnosis and treatment to reduce the disease burden.

Objective The aim of this study was to analyze the incidence and mortality of lymphoma and their changing trends in cancer registration areas of Liaoning Province from 2016 to 2020,and to provide data support for lymphoma prevention and treatment.Methods The data of tumor registration areas in Liaoning province from 2016 to 2020 were collected and sorted out,and the crude incidence,mortality,China standardized incidence and mortality,world standardized incidence and mortality,and cumulative rate of lymphoma were calculated;Joinpoint 5.0.2 software was used to analyze the changing trends of the above indicators from 2016 to 2020.Results From 2016 to 2020,the crude incidence of lymphoma in tumor registration areas of Liaoning Province was 7.43/100,000,age-standardized incidence by Chinese standard population(ASIRC)was 4.07/100,000,and age-standardized incidence by world standard population(ASIRW)was 3.95/100,000;the crude mortality was 4.29/100,000,age-standardized mortality by Chi-nese standard population(ASMRC)was 2.07/100,000,and age-standardized mortality by world standard population(ASMRW)was 2.02/100,000.The ASIRC and ASMRC were higher in males(4.62/100,000 and 2.53/100,000,respectively)than in females(3.56/100,000 and 1.61/100,000,respectively),also higher in urban areas(4.65/100,000 and 2.32/100,000,respectively)than in rural areas(2.46/100,000 and 1.65/100,000,respectively).The incidence and mortality of lymphoma increased with age.The in-cidence reached its peak in the 70-79 age group,and the mortality reached its peak in the 80+age group.From 2016 to 2020,the crude incidence of lymphoma increased from 6.86/100,000 to 8.22/100,000,with a statistically significant trend(APC=5.06％,95％CI;1.13％-9.14％,P=0.026).ASIRC increased from 4.01/100,000 to 4.45/100,000,with no statistical significance(P＞0.05).The crude mortality increased from 3.85/100,000 to 4.53/100,000,while ASMRC decreased from 2.02/100,000 to 2.01/100,000,with no statistically significant trend in the two changes(P＞0.05).Conclusions The incidence and mortality of lymphoma in cancer registration areas of Liaoning Province are higher in men than those of women,and higher in cities than those in rural areas,and reach the peak in the elderly group.The prevention and control of key populations and health management should be strength-ened,especially pay attention to the health needs of the elderly population,and explore possible directions for multidisciplinary collab-orative diagnosis and treatment to reduce the disease burden.

[Purpose]To analyze cancer incidence and mortality in Liaoning cancer registration areas from 2016 to 2020 and the trends from 2006 to 2020.[Methods]Cancer data in cancer registra-tion areas in Liaoning Province from 2016 to 2020 were collected.The incidence and mortality,age-standardized rate,cumulative rate(0～74 years old),and age-specific rate were calculated.Age-standardized incidence and mortality rate were calculated by the Chinese standard popula-tion(ASIRC,ASMRC)and Segi world standard population(ASIRW,ASMRW).Joinpoint software was applied to analyze the trends of incidence and mortality.[Results]From 2016 to 2020,the crude incidence rate of cancer in Liaoning cancer registration areas was 422.30/105,the ASIRC and ASIRW were 215.67/105 and 209.52/105.The ASIRC was higher in urban areas(225.00/105)than that in rural areas(190.15/105),and higher in male(221.47/105)than that in female(213.03/105).The crude mortality rate was 254.22/105,the ASMRC and ASMRW were 113.26/105 and 112.91/105.The ASMRC in urban areas(113.12/105)was the same as that in rural areas(113.01/105),and higher in male(146.86/105)than that in female(83.46/105).The ASIRW of lung cancer was 46.13/105,and the ASMRW was 32.04/105,both ranking the first of all cancers.From 2006 to 2020,the crude incidence,ASIRC and ASIRW in urban areas showed an increasing trend(AAPC=3.921％,t=16.222,P＜0.05;AAPC=0.823％,t=2.409,P＜0.05;AAPC=0.875％,t=2.933,P＜0.05).The crude incidence,ASIRC and ASIRW in urban female were all rising(AAPC=4.151％,t=15.888,P＜0.05;AAPC=1.597％,t=4.819,P＜0.05;AAPC=1.514％,t=4.752,P＜0.05).During the same period,the cancer mortality in urban areas showed an increasing trend(AAPC=3.175％,t=14.745,P＜0.05),and the ASMRW showed a decreasing trend(AAPC=-0.908％,t=-2.273,P＜0.05).The crude mor-tality of both men and women showed an increasing trend(AAPC=3.010％,t=6.032,P＜0.05;AAPC=2.820％,t=5.921,P＜0.05),while the crude mortality and ASMRW for female showed a significant downward trend(AAPC=-1.487％,t=-2.437,P＜0.05;AAPC=-2.680％,t=-2.246,P＜0.05).From 2016 to 2020,the crude incidence,ASIRC and ASIRW in rural areas showed no significant change;however,the crude incidence in male was increasing(AAPC=2.025％,t=3.853,P＜0.05).In the same period,the crude mortality rate in rural areas increased(AAPC=3.577％,t=9.377,P＜0.05),while there was no significant change in the ASMRC and ASMRW.The crude mortality of both men and women showed an increasing trend(AAPC=3.377％,t=10.615,P＜0.05;AAPC=3.978％,t=7.245,P＜0.05),while there was no significant change in ASMRC and ASMRW.[Conclusion]The cancer burden in Liaoning from 2016 to 2020 was higher than the average level in China,can-cer prevention and control should be further strengthened in the provice.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing’s syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected.A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing–Bablok regression and Bland–Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r = 0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r = 0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LCMS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8–1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

Objective:To provide references for finding an objective, accurate, highly repeatable and operable measurement method of the resting energy expenditure (REE) for flying personnel by taking the indirect calorimetry measured REE as the gold standard and establishing the formula for predicting REE combined with body composition indexes.Methods:Fourteen normal-size male volunteers were chosen as the subjects. The hypobaric hypoxia environment was constructed in the hypobaric chamber. The subjects were asked to complete single task (flight control) and dual task (flight control and calculation). The body weight, fat free mass (FFM), muscle mass (MM), fat mass (FM), waist-to-hip ratio (WHR), visceral fat mass (VFM) and body fat percentage (BF%) were directly measured by body composition analyzer. The respiratory frequency (RF), volume of CO 2 (VCO 2), maximal volume of O 2 (VO 2max), volume of tidal (VT), minute ventilation volume (VE), metablic equivalent (MET), REE and REE/kg/d were measured by gas metabolizer. The correlation between REE and body composition indexes was analyzed and a linear regression equation was obtained. Results:In the simulated hypobaric hypoxia environment, the RF, VCO 2, VO 2max, VE, VT, REE, REE/kg/d, MET and heart rate of the subjects increased slightly in the dual task, but there were no significant differences between the dual task and the single task (all P>0.05). REE was positively correlated with FFM and MM ( r=0.566, 0.570, P=0.035, 0.033), but not with height, FM and heart rate (all P>0.05). The prediction formula of REE in hypobaric hypoxia environment was Model A: REE=60.34×MM-1 121 ( r=0.570, P=0.033), or Model B: REE=55.34×FFM-1 073 ( r=0.566, P=0.035). There was a positive correlation between the predicted REE and the measured REE ( r=0.570, P=0.033) for Model A, and the error value was (0.032±358.170) kcal/d, P=1.00>0.05. Conclusions:FFM and MM are the main determinants of REE in normal-size subjects under hypobaric hypoxia environment. Either MM or FFM shows a good prediction effect to REE.

Objective:To provide references for finding an objective, accurate, highly repeatable and operable measurement method of the resting energy expenditure (REE) for flying personnel by taking the indirect calorimetry measured REE as the gold standard and establishing the formula for predicting REE combined with body composition indexes.Methods:Fourteen normal-size male volunteers were chosen as the subjects. The hypobaric hypoxia environment was constructed in the hypobaric chamber. The subjects were asked to complete single task (flight control) and dual task (flight control and calculation). The body weight, fat free mass (FFM), muscle mass (MM), fat mass (FM), waist-to-hip ratio (WHR), visceral fat mass (VFM) and body fat percentage (BF%) were directly measured by body composition analyzer. The respiratory frequency (RF), volume of CO 2 (VCO 2), maximal volume of O 2 (VO 2max), volume of tidal (VT), minute ventilation volume (VE), metablic equivalent (MET), REE and REE/kg/d were measured by gas metabolizer. The correlation between REE and body composition indexes was analyzed and a linear regression equation was obtained. Results:In the simulated hypobaric hypoxia environment, the RF, VCO 2, VO 2max, VE, VT, REE, REE/kg/d, MET and heart rate of the subjects increased slightly in the dual task, but there were no significant differences between the dual task and the single task (all P>0.05). REE was positively correlated with FFM and MM ( r=0.566, 0.570, P=0.035, 0.033), but not with height, FM and heart rate (all P>0.05). The prediction formula of REE in hypobaric hypoxia environment was Model A: REE=60.34×MM-1 121 ( r=0.570, P=0.033), or Model B: REE=55.34×FFM-1 073 ( r=0.566, P=0.035). There was a positive correlation between the predicted REE and the measured REE ( r=0.570, P=0.033) for Model A, and the error value was (0.032±358.170) kcal/d, P=1.00>0.05. Conclusions:FFM and MM are the main determinants of REE in normal-size subjects under hypobaric hypoxia environment. Either MM or FFM shows a good prediction effect to REE.

Up to 70% of patients with late-stage breast cancer have bone metastasis. Current treatment regimens for breast cancer bone metastasis are palliative with no therapeutic cure. Disseminated tumor cells (DTCs) colonize inside the osteogenic niches in the early stage of bone metastasis. Drug delivery into osteogenic niches to inhibit DTC colonization can prevent bone metastasis from entering its late stage and therefore cure bone metastasis. Here, we constructed a 50% DSS6 peptide conjugated nanoparticle to target the osteogenic niche. The osteogenic niche was always located at the endosteum with immature hydroxyapatite. Arsenic-manganese nanocrystals (around 14 nm) were loaded in osteogenic niche-targeted PEG-PLGA nanoparticles with an acidic environment-triggered arsenic release. Arsenic formulations greatly reduced 4T1 cell adhesion to mesenchymal stem cells (MSCs)/preosteoblasts (pre-OBs) and osteogenic differentiation of osteoblastic cells. Arsenic formulations also prevented tumor cell colonization and dormancy via altering the direct interaction between 4T1 cells and MSCs/pre-OBs. The chemotactic migration of 4T1 cells toward osteogenic cells was blocked by arsenic in mimic 3D osteogenic niche. Systemic administration of osteogenic niche-targeted arsenic nanoparticles significantly extended the survival of mice with 4T1 syngeneic bone metastasis. Our findings provide an effective approach for osteogenic niche-specific drug delivery and suggest that bone metastasis can be effectively inhibited by blockage of tumor cell colonization in the bone microenvironment.