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Article in Chinese | WPRIM | ID: wpr-990347

ABSTRACT

Objective:To analyze the efficacy of the Post-stroke Depression Prediction Scale (DePreS) combined with the Early Symptom Measurement of Post-Stroke Depression-Short Form (ESMPSD-SF) in predicting post stroke depression (PSD).Methods:This study was a cross-sectional survey, using convenience sampling method to select 185 stroke patients admitted to Henan Provincial People′s Hospital from June 2019 to May 2021 as the research subjects. The DePreS, ESMPSD-SF, and general information questionnaire were used to investigate them.Results:The incidence of PSD was 36.76% (68/185). The DePreS and ESMPSD-SF scores in the PSD patients were (6.29 ± 8.77), (33.83 ± 6.78) points, respectively, significantly higher than those in the non-PSD patients (-2.05 ± 5.70), (26.51 ± 5.56) points, with statistically significant differences ( t=7.06, 7.97, both P<0.05). Logistic regression analysis showed that DePreS and ESMPSD-SF scores, marital status, and the number of comorbidities were predictive factors for PSD occurrence ( P<0.05). The AUC of DePreS for diagnosing PSD was 0.777, with an optimal diagnostic point of 2 points, a sensitivity of 59.42%, and a specificity of 80.71%; the AUC of the ESMPSD-SF for diagnosing PSD was 0.792, with an optimal diagnostic point of 28 points, a sensitivity of 78.26%, and a specificity of 74.14%. The sensitivity, specificity, and AUC of DePreS combined with ESMPSD-SF in the diagnosis of PSD were 82.61%, 83.62%, and 0.886, respectively. The differences were statistically significant compared to the AUC evaluated separately by DePreS or ESMPSD-SF ( Z=3.21, 3.49, both P<0.05). Conclusions:The combination of DePreS and ESMPSD-SF had a higher detection efficiency for PSD, and the combination of the two is more suitable for assessing PSD risk in stroke patients.

2.
Article in Chinese | WPRIM | ID: wpr-610510

ABSTRACT

Objective To explore the difference in early symptoms between 2-3 years old autism spectrum disorder (ASD) children and healthy children through video analysis,in order to provide evidence for the identification and screening of ASD children.Methods The study involved 25 cases of ASD children who were admitted to Children Development and Behavior Center,the Third Affiliated Hospital,Sun Y at-Sen University,and confirmed with diagnosis standards of Diagnosis and Statistical Manual of Medical Disorder 5th edition (DSM-5) and 21 healthy children recruited in community.Three-minute videos of children in standard procedure were collected.Mter that,all the videos were scored on 5 items by 2 professional evaluators,unaware of diagnostic status.Comparison analysis of video scores between ASD and the healthy controls was made,and the sensitivity and specificity of video analysis were evaluated.Results Response to roll-call score was higher in ASD children [2 (2) scores] than that of the healthy children [0 (0) scores],response to audible object score was higher in ASD children [0(1) scores] than that of the healthy children [0(0) scores],social smiling score was higher in ASD children [1 (1) scores] than that of the healthy children [0 (1) scores],and total score was higher in ASD children [4 (2) scores] than that of the healthy children [2 (0) scores],and the differences were statistically significant (Z =2.272,P =0.000;Z =0.976,P =0.010;Z =1.763,P =0.001;Z =2.355,P =0.000).But,no difference was found in speech and finger pointing (all P > 0.05).The consistency between three-minute video analysis and standard diagnosis was 0.652 (P =0.000),with 80.0% of sensitivity and 85.7% of specificity.Conclusions The ASD children perform worse than the healthy children in response to roll-call,response to audible object and social smiling.Three-minute standard video analysis can help to detect the early symptoms of ASD children.This result also demonstrates the potential of video-based analysis used as a ASD screening instrument in 2-3 years old children.

3.
Article in Korean | WPRIM | ID: wpr-90089

ABSTRACT

PURPOSE: Multiple endocrine neoplasia (MEN) syndrome is an inherited, autosomal dominant disease that presents as a combination of several endocrine tumors. Early diagnosis of this syndrome is difficult, because of the nonspecific symptoms and signs. This study analyzed early manifestations and clinical characteristics in patients with MEN syndrome. METHODS: Medical records were retrospectively reviewed and telephone interviews were conducted with 35 patients diagnosed as MEN syndrome at Samsung Medical Center from December 1994 to December 2009. RESULTS: The 35 patients had been diagnosed as MEN1 (n=14), MEN2A (n=19) and MEN2B (n=2). The early manifestations of the 14 MEN1 patients were related with hyperparathyroidism (n=5), pituitary tumor (n=3), and pancreatic endocrine tumor (n=2). There were tumors of the parathyroid gland in all 14 patients, anterior pituitary in eight patients, and pancreatic islet cells in seven patients. Four cases were incidentally detected during the screening examination. Six cases harbored a MEN1 gene mutation. The twenty-one patients diagnosed with MEN2 comprised medullary thyroid cancer (n=20), adrenal pheochromocytoma (n=15), and hyperparathyroidism (n=4). The MTC-related symptoms in the 21 MEN2 patients included neck mass or discomfort in 12 patients and pheochromocytoma-related symptoms in seven patients. Two cases were detected through familial genetic screening test. The RET gene mutationwas detected in 19 cases. CONCLUSION: Early manifestations of MEN syndrome were very different between the types of MEN and the types of its presenting tumor. The early diagnosis and proper management of MEN requires awareness of the clinical characteristics of each expressed tumor and is influenced by genetic screening methods.


Subject(s)
Humans , Male , Early Diagnosis , Genetic Testing , Hyperparathyroidism , Interviews as Topic , Islets of Langerhans , Mass Screening , Medical Records , Multiple Endocrine Neoplasia Type 1 , Multiple Endocrine Neoplasia Type 2a , Multiple Endocrine Neoplasia Type 2b , Multiple Endocrine Neoplasia , Neck , Parathyroid Glands , Pheochromocytoma , Pituitary Neoplasms , Retrospective Studies , Thyroid Neoplasms
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