Objective:To identify the classification of neck and shoulder dysfunction in patients after neck lymph node dissection for head and neck tumors and analyze the characteristics of these dysfunctions.Methods:A convenience sampling method was used to select patients who underwent neck lymph node dissection and visited the Head and Neck Cancer Rehabilitation Nursing Clinic at Beijing Tongren Hospital, Capital Medical University, from March to May 2024. General data questionnaires, neck function indicators, and shoulder function symptom questionnaires were used for investigation.Results:A total of 113 patients who underwent neck lymph node dissection for head and neck tumors were included in the study. The top three neck dysfunction indicators with the highest occurrence rates were abnormal neck extension (87.6%, 99/113) , abnormal neck bending on the affected side (84.1%, 95/113) , and abnormal neck rotation on the affected side (84.1%, 95/113) . The top three shoulder dysfunction indicators with the highest occurrence rates were: abnormal shoulder flexion on the affected side (83.2%, 94/113) , abnormal shoulder abduction on the affected side (81.4%, 92/113) , and abnormal horizontal shoulder abduction on the affected side (80.5%, 91/113) . Using 18 indicators of neck and shoulder dysfunction as clustering variables, patients were classified into three groups: severe dysfunction group (53.1%, 60/113) , moderate dysfunction group (35.4%, 40/113) , and mild dysfunction group (11.5%, 13/113) . The differences in disease type and neck and shoulder function indicators between the three groups were statistically significant ( P<0.05) . Conclusions:Neck and shoulder dysfunction in patients after neck lymph node dissection for head and neck tumors is relatively severe, primarily manifesting as an abnormal range of motion. Healthcare providers should strengthen neck and shoulder function assessments in these patients and consider a range of motion exercises as a key rehabilitation program.

Objective:To identify the classification of neck and shoulder dysfunction in patients after neck lymph node dissection for head and neck tumors and analyze the characteristics of these dysfunctions.Methods:A convenience sampling method was used to select patients who underwent neck lymph node dissection and visited the Head and Neck Cancer Rehabilitation Nursing Clinic at Beijing Tongren Hospital, Capital Medical University, from March to May 2024. General data questionnaires, neck function indicators, and shoulder function symptom questionnaires were used for investigation.Results:A total of 113 patients who underwent neck lymph node dissection for head and neck tumors were included in the study. The top three neck dysfunction indicators with the highest occurrence rates were abnormal neck extension (87.6%, 99/113) , abnormal neck bending on the affected side (84.1%, 95/113) , and abnormal neck rotation on the affected side (84.1%, 95/113) . The top three shoulder dysfunction indicators with the highest occurrence rates were: abnormal shoulder flexion on the affected side (83.2%, 94/113) , abnormal shoulder abduction on the affected side (81.4%, 92/113) , and abnormal horizontal shoulder abduction on the affected side (80.5%, 91/113) . Using 18 indicators of neck and shoulder dysfunction as clustering variables, patients were classified into three groups: severe dysfunction group (53.1%, 60/113) , moderate dysfunction group (35.4%, 40/113) , and mild dysfunction group (11.5%, 13/113) . The differences in disease type and neck and shoulder function indicators between the three groups were statistically significant ( P<0.05) . Conclusions:Neck and shoulder dysfunction in patients after neck lymph node dissection for head and neck tumors is relatively severe, primarily manifesting as an abnormal range of motion. Healthcare providers should strengthen neck and shoulder function assessments in these patients and consider a range of motion exercises as a key rehabilitation program.

This study aimed to investigate the prevalence and molecular characteristics of Listeria monocytogenes in cooked products in Zigong City, China. The overall occurrence of the L. monocytogenes in the ready-to-eat (RTE) shops and mutton restaurants surveyed was 16.2% (141/873). An occurrence of 13.5% was observed in RTE pork, 6.5% in RTE vegetables, and more than 24.0% in either cooked mutton or cooked haggis. Serotype 1/2b (45.4%), 1/2a (33.3%), and 1/2c (14.2%) were the predominant types. By comparing the clonal complexes (CCs) based on multilocus sequence typing (MLST) of the L. monocytogenes from cooked foods in Zigong City and 33 listeriosis cases from different districts of China, CC87, CC9, CC8, and CC3 were showed to be prevalent in cooked products and CC87 and CC3 were the first two frequent types in the 33 clinic-source strains. All CC87 stains harbored the newly reported Listeria pathogenicity island 4 (LIPI-4) gene fragment ptsA, and all CC3 strains possessed the Listeria pathogenicity island 3 (LIPI-3) gene fragment llsX. These may increase the occurrence of the strains belonging to CC87 and CC3 in listeriosis cases in China and also underline the risk of infection owing to the consumption of the cooked products from Zigong. ST619 (serotype 1/2b) harbored both llsX and ptsA, indicating a potential hypervirulent sequence type in Zigong.
China ; epidemiology ; Cooking ; Fast Foods ; microbiology ; Food Contamination ; Food Microbiology ; Humans ; Listeria monocytogenes ; genetics ; pathogenicity ; Listeriosis ; epidemiology ; microbiology ; Meat ; microbiology ; Multilocus Sequence Typing ; Prevalence ; Seasons

In order to improve the accuracy of blood pressure measurement in wearable devices, this paper presents a method for detecting blood pressure based on multiple parameters of pulse wave. Based on regression analysis between blood pressure and the characteristic parameters of pulse wave, such as the pulse wave transit time (PWTT), cardiac output, coefficient of pulse wave, the average slope of the ascending branch, heart rate, etc. we established a model to calculate blood pressure. For overcoming the application deficiencies caused by measuring ECG in wearable device, such as replacing electrodes and ECG lead sets which are not convenient, we calculated the PWTT with heart sound as reference (PWTT(PCG)). We experimentally verified the detection of blood pressure based on PWTT(PCG) and based on multiple parameters of pulse wave. The experiment results showed that it was feasible to calculate the PWTT from PWTT(PCG). The mean measurement error of the systolic and diastolic blood pressure calculated by the model based on multiple parameters of pulse wave is 1.62 mm Hg and 1.12 mm Hg, increased by 57% and 53% compared to those of the model based on simple parameter. This method has more measurement accuracy.
Blood Pressure ; Blood Pressure Monitoring, Ambulatory ; Cardiac Output ; Electrocardiography ; Heart Rate ; Heart Sounds ; Humans ; Pulse Wave Analysis ; Regression Analysis