Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk. Methods: This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate. Results: With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3. Conclusion Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.

OBJECTIVE: To investigate the relationship among the gross motor function classification system (GMFCS)and the development of hip joint and lumbar spine in children with spastic cerebral palsy. METHODS: The clinical data of 125 children with spastic cerebral palsy admitted from January 2018 to July 2021 were retrospectively analyzed. There were 85 males and 40 females, aged from 4 to 12 years old with an average of (8.4±2.9) years. According to GMFCS, the patients were divided into gradeⅠ, Ⅱ, Ⅲ and Ⅳ groups. There were 27 cases in gradeⅠgroup, 40 cases in gradeⅡgroup, 35 cases in grade Ⅲ group and 23 cases in grade Ⅳ group. The migration percentage(MP), central edge angle(CE), neck-shaft angle(NSA), acetabular index(AI) were measured by the radiograph of pelvis, abnormal parameters were selected to evaluate the relationship between different GMFCS grades and hip joint development. Lumbar sagittal Cobb angle, lumbar sacral angle, lumbar lordosis index and apical distance were measured by lateral lumbar radiographs to evaluate the relationship between different GMFCS grades and lumbar spine development. RESULTS: ①Among the 125 spastic cerebral palsy children, there were 119 cases of pelvic radiographs that met the measurement standards. In the four groups with gradeⅠ, Ⅱ, Ⅲ, Ⅳ, MP was (22.72±3.88), (26.53±4.36), (33.84±4.99), and (49.54±7.87)%, CE was(30.10±6.99) °, ( 22.92±4.19) °, ( 17.91±5.50) °, and (-0.70±17.33)°, AI was (16.41±2.77) °, (20.46±4.63) °, (23.76±5.10) °, and ( 29.15±7.35)°, respectively, there were significant differences between the two comparisons (P<0.05). And the higher GMFCS grade, the greater MP and AI, and the smaller CE.The NSA was(142.74±10.03) °, (148.66±9.09) °, (151.66±10.52) °, and (153.70±8.05)° in four groups with gradeⅠ, Ⅱ, Ⅲ, Ⅳ, respectively. The differences between the two comparisons of the GMFCS gradeⅠgroup and the other three groups were statistically significant (P<0.05). NSA of GMFCSⅠgroup was significantly lower than that of the others, there was no significant difference among other groups(P>0.05). ② Among the 125 spastic cerebral palsy children, there were 88 cases of lumbar spine radiographs that met the measurement standards. ③The lumbar sagittal Cobb angle was(32.62±11.10) °, (29.86±9.90) °, (31.70±11.84) °, and (39.69±6.80)° in the four groups with gradeⅠ, Ⅱ, Ⅲ, Ⅳ, respectively;GMFSS of grade Ⅳ group was significantly higher than that of other three groups, there was significant difference between the two comparisons (P<0.05);there were no significant differences between other groups (P>0.05). In the four groups with gradeⅠ, Ⅱ, Ⅲ, Ⅳ, the lumbosacral angle was (31.02±9.91) °, ( 26.57±9.41) °, (28.08±8.56) °, and ( 27.31±11.50)°, the lumbar lordosis index was (4.14±12.89), (8.83±13.53), (13.00±11.78), and (10.76±9.97) mm, the arch apex distance was (9.50±6.80), (6.68±3.20), (7.16±4.94), and (6.62±4.13) mm, respectively, there were no significant differences between the two comparisons(P>0.05). CONCLUSION ①In children with GMFCS gradeⅠ-Ⅳ, the higher the GMFCS grade, the worse the hip develops. ② Children with GMFCS grade Ⅲ-Ⅳ may be at greater risk for lumbar kyphosis.
Male ; Female ; Humans ; Child ; Child, Preschool ; Lordosis ; Retrospective Studies ; Cerebral Palsy ; Hip Dislocation ; Lumbar Vertebrae/diagnostic imaging* ; Muscle Spasticity

BACKGROUND: Growth differentiation factor 15 (GDF-15) has been explored as a potential biomarker for various inflammatory diseases and cardiovascular events. This study aimed to assess the predictive role of GDF-15 levels in cardiovascular events and all-cause mortality, considering traditional risk factors and other biomarkers. METHODS: A prospective study was conducted and 3699 patients with stable coronary artery disease (CAD) were enrolled into the research. Baseline GDF-15 levels were measured. Median follow-up was 3.1 years during the study. We analyzed clinical variables and several biomarkers. Multivariable Cox regression analysis was performed to evaluate prognostic performance of GDF-15 levels in predicting myocardial infarction (MI), heart failure, stroke, cardiovascular death, and non-cardiovascular death. RESULTS: Baseline GDF-15 levels for 3699 patients were grouped by quartile (≤ 1153, 1153-1888, 1888-3043, > 3043 ng/L). Higher GDF-15 levels were associated with older age, male gender, history of hypertension, and elevated levels of N-terminal pro B-type natriuretic peptide (NT-pro BNP), soluble suppression of tumorigenesis-2 (sST2), and creatine (each with P < 0.001). Adjusting for established risk factors and biomarkers in Cox proportional hazards models, a 1 standard deviation (SD) increase in GDF-15 was associated with elevated risk of clinical events [hazard ratio (HR) = 2.18, 95% confidence interval (CI): (1.52-3.11)], including: MI [HR = 2.83 95% CI: (1.03-7.74)], heart failure [HR = 2.71 95% CI: (1.18-6.23)], cardiovascular and non-cardiovascular death [HR = 2.48, 95% CI (1.49-4.11)] during the median follow up of 3.1 years. CONCLUSIONS Higher levels of GDF-15 consistently provides prognostic information for cardiovascular events and all cause death, independent of clinical risk factors and other biomarkers. GDF-15 could be considered as a valuable addition to future risk prediction model in secondary prevention for predicting clinical events in patient with stable CAD.

Objective:To investigate the effect of early postoperative enteral nutrition(EN)on postoperative rehabilitation and inflammation after laparoscopic radical gastrectomy for gastric cancer,in order to provide reference for postoperative rehabilitation of such patients.Methods:Patients who received laparoscopic assisted radical gastrectomy in Department of Gastrointestinal Surgery of The First Affiliated Hospital of Bengbu Medical College from January 2020 to December 2022 were included in the analysis.According to the different ways of postoperative nutritional treatment,patients were divided into the observation group(early postoperative EN group)and the control group(parenteral nutrition group),and indexes such as postoperative rehabilitation,abdominal drainage flow and the level of inflammatory mediators in drainage fluid were compared between the two groups.Results:A total of 81 patients were included,including 41 in the observation group and 40 in the control group.Interval of the first postoperative exhaust(t=3.806;P＜0.001)and resuming diet day(t=5.510;P＜0.001),and length of postoperative hospital stay(t=2.401;P=0.019)in the observation group were shorter than those in the control group.Levels of peripheral blood albumin(t=14.040;P＜0.001)and prealbumin(t=9.832;P＜0.001)of the observation group at postoperative day(POD)5 were significantly higher than those of the control group,but there was no significant difference in hemoglobin level(t=1.477;P=0.144).The level of CRP in peripheral blood of the observation group at POD 5(t=7.758;P＜0.001)and the incidence of postoperative SIRS[(12.2％,5/41)vs(32.5％,13/40),x2=4.830;P=0.028)]were significantly lower than those in the control group.The average drainage volume(t=6.858;P＜0.001),drainage removal time(t=5.016;P＜0.001),and TNF-α level(t=4.993;P＜0.001)and IL-6 level(t=20.640;P＜0.001)in postoperative drainage at POD 5 were significantly lower in the observation group than those in the control group.Conclusion:Early postoperative EN could accelerate the rehabilitation process after laparoscopic radical gastrectomy,improve postoperative nutritional status,and reduce abdominal inflammation.