Correlation of cardiometabolic index and sarcopenia with cardiometabolic multimorbidity in middle-aged and older adult: a prospective study.

Background: Research has demonstrated that sarcopenia and visceral obesity are significant risk factors for chronic disease in middle-aged and older adults. However, the relationship between sarcopenia, the cardiac metabolic index (CMI), a novel measure of visceral obesity, and cardiometabolic multimorbidity (CMM) remains unclear. In this study, data from the China Longitudinal Study of Health and Retirement (CHARLS) were analyzed to investigate the association between sarcopenia and CMI with CMM in the middle-aged and older adult population. Methods: The study included 4,959 participants aged 45 and over. Sarcopenia was defined using the criteria of the Asian Sarcopenia Working Group 2019. CMM is defined as having two or more of the following conditions: physician-diagnosed heart disease, diabetes, stroke, and/or hypertension. CMI was calculated using the formula: CMI = (TG/HDL-C) × WHtR. To explore the association between CMI and sarcopenia and CMM, cox proportional risk regression models were used. Results: The median age of all participants was 57 years, with 47.1% being male. Over the 8-year follow-up, 1,362 individuals developed CMM. The incidence of CMM was 8.7/1,000 person-years in the group without sarcopenia or high CMI, 17.37/1,000 person-years in those with high CMI, 14.22/1,000 person-years in the sarcopenia group, and 22.34/1,000 person-years in the group with both conditions. After adjusting for covariates, the group with both sarcopenia and high CMI had a significantly increased risk of CMM (HR 2.48, 95% CI 1.12-5.51) and heart disease (HR 2.04, 95% CI 1.05-3.98). Among those over 65 years, sarcopenia was discovered to be associated with an increased risk of CMM [HR (95% CI: 4.83 (1.22, 19.06)]. The risk of CMM was further increased to 7.31-fold (95% CI:1.72, 31.15) when combined with high CMI. Conclusions: The combination of sarcopenia and high CMI is associated with an increased risk of developing CMM. Early identification and intervention of sarcopenia and CMI not only enable the development of targeted therapeutic strategies but also provide potential opportunities to reduce the morbidity and mortality of CMM.

Association of inflammation and abnormal lipid metabolism with risk of thrombosis and thrombosis progression in patients with polycythemia vera: a retrospective study.

To date, no therapeutic strategy has been shown to be effective in reducing the risk of polycythemia vera (PV) transforming into myelofibrosis or leukemia, and the main goal of current treatment is to prevent thrombotic events. Recent studies have shown that higher levels of inflammation are associated with an increased risk of thrombosis in PV patients, while the correlation between inflammation and abnormal lipid metabolism with the risk of thrombosis in PV has not been reported. In this retrospective study, 148 patients with newly diagnosed PV who visited the Affiliated Hospitals of Nanchang University from January 2013 to June 2023 were categorized into low-risk group and high-risk group according to the risk of thrombosis, and were subsequently divided into thrombosis non-progression group and progression group. The differences of novel inflammatory markers PHR, NHR, MHR, LHR, and SIRI in each group were analyzed and compared with healthy adults who underwent physical examination in the hospitals during the same period. The results showed that PHR, NHR, MHR, and SIRI levels were significantly higher in the PV group than in the control group (P < 0.001), while HDL-C levels were considerably lower (1.09 vs. 1.31, P < 0.001). Comparisons within the groups of PV patients revealed that PHR, MHR, NHR, NLR, and SIRI levels were significantly higher in the high-risk group for thrombosis than in the low-risk group (P < 0.01); the thrombosis PHR, NHR, NLR, and SIRI levels were higher in the group with progression of thrombosis than in the group without progression of thrombosis (P < 0.05), while HDL-C levels were significantly lower (1.02 vs. 1.12, P < 0.001). The results of the ROC curve analysis showed that NHR (AUC = 0.791), HDL-C (AUC = 0.691), PHR (AUC = 0.668), NLR(AUC = 0.658), and SIRI (AUC = 0.638) had high diagnostic efficacy for identifying PV patients with thrombosis progression. Multivariate analysis showed that NHR, NLR, MHR, and LHR were independent risk factors for PV patients with thrombosis progression (P < 0.05). Kaplan-Meier survival curves showed that NHR ≥ 5.82 × 109/mmol, NLR ≥ 6.295, PHR ≥ 280.4 × 109/mmol, MHR ≥ 0.295 × 109/mmol, LHR ≥ 1.41 × 109/mmol, and SIRI ≥ 1.53 × 109/L were risk factors for PFS in PV patients. The study demonstrates for the first time that novel inflammatory markers PHR, NHR, MHR, LHR, and SIRI may be used as new predictors for PV patients with thrombosis progression. NHR has the highest value in predicting thrombosis in PV patients and is superior to NLR which was reported previously.

PPARG, GNG12, and CD19 are potential independent predictors of central nerve recurrence in childhood acute lymphoblastic leukemia.

OBJECTIVE: To identify biomarkers that can predict the recurrence of the central nervous system (CNS) in children with acute lymphoblastic leukemia (ALL). MATERIALS AND METHODS: The transcriptome and clinical data of ALL in children were downloaded from the TARGET database. Transcriptome data were analyzed by bioinformatics method to identify core (hub) genes and establish a risk assessment model. Univariate Cox analysis was performed on each clinical data, and multivariate Cox regression analysis was performed on the obtained results and risk score. The children ALL phase I samples from TARGET database were used for validation. RESULTS: Univariate multivariate Cox analysis of 10 hub genes identified showed that PPARG (HR = 0.78, 95%CI = 0.67-0.91, p = 0.007), CD19 (HR = 1.15, 95%CI = 1.05-1.26, p = 0.003) and GNG12 (HR = 1.25, 95%CI = 1.04-1.51, p = 0.017) had statistical differences. The risk score was statistically significant in univariate (HR = 3.06, 95%CI = 1.30-7.19, p = 0.011) and multivariate (HR = 1.81, 95%CI = 1.16-2.32, p = 0.046) Cox regression analysis. The survival analysis results of the high and low-risk groups were different when the validation dataset was substituted into the model (p = 0.018). Then, we constructed a Nomogram which had a concordance index of survival prediction of 0.791(95%CI= 0.779-0.803). In addition, the CNS involvement grading status at first diagnosis CNS3 vs. CNS1 (HR = 5.74, 95%CI = 2.01-16.4, p = 0.001), T cell vs B cell (HR = 1.63, 95% CI = 1.06-2.49, p = 0.026) were also statistically significant. CONCLUSIONS: PPARG, GNG12, and CD19 may be predictors of CNS relapse in childhood ALL.

The Predictive Value of Neutrophil-Lymphocyte Ratio in Patients with Polycythemia Vera at the Time of Initial Diagnosis for Thrombotic Events.

Objective: To investigate and discuss the predictive value of the neutrophil-to-lymphocyte ratio (NLR) in patients with polycythemia vera (PV) at the time of initial diagnosis, as well as its clinical significance in predicting the occurrence of thrombotic events and the progression of future thrombotic events during follow-ups, with the goal of providing a reference for the early identification of high-risk PV patients and the early intervention necessary to improve the prognosis of PV patients. Method: A total of 170 patients diagnosed with PV for the first time were enrolled in this study. The risk factors affecting the occurrence and development of thrombotic events in these patients were statistically analyzed. Results: NLR (P = 0.030), WBC count (P = 0.045), and history of previous thrombosis (P < 0.001) were independent risk factors for thrombotic events at the time of initial diagnosis. Age ≥ 60 years (P = 0.004), NLR (P = 0.025), history of previous thrombosis (P < 0.001), and fibrinogen (P = 0.042) were independent risk factors for the progression of future thrombotic events during follow-ups. The receiver operating characteristic curve (ROC curves) showed that NLR was more effective in predicting the progression of future thrombotic events than age ≥ 60 years, history of previous thrombosis, and fibrinogen. Kaplan-Meier survival analysis showed progression-free survival time of thrombotic events in the high NLR value group (NLR ≥ 4.713) (median survival time 22.033 months, 95% CI: 4.226-35.840), which was significantly lower compared to the low NLR value group (NLR < 4.713) (median overall survival time 66.000 months, 95% CI: 50.670-81.330); the observed difference was statistically significant (P < 0.001). The 60-month progression-free survival in the low NLR value group was 58.8%, while it was 32.8% in the high NLR value group. Conclusion: Peripheral blood NLR levels in patients with PV resulted as an independent risk factor for the occurrence of thrombotic events at the time of initial diagnosis and for the progression of future thrombotic events during follow-ups. Peripheral blood NLR levels at the time of initial diagnosis and treatment had better diagnostic and predictive value for the progression of future thrombotic events in patients with PV than age ≥ 60 years, history of previous thrombosis, and fibrinogen.