1.Progress on Compilation,Implementation and Coordination of Medical Service Price Item Guideline
Zixi DONG ; Meijin HUANG ; Zhizhong QIN ; Luyao ZHANG ; Xiufang DING ; Yongjun LUO
Chinese Health Economics 2025;44(11):67-71
China's Medical Service Price(MSP)reform has entered a new phase,implementing management measures.The compilation,implementation,and coordination of MSP item guidelines and the existing contradictions and problems were reviewed.It proposes strengthening price item management in planning under the background of the new era,itemizing in the alignment particle size,and comparing prices in the same coordinate system.This can offer systematic approaches and innovative strategies for improving the quality and efficiency of deepening MSP reform.
2.Research progress in comorbidity between epilepsy and sleep disorders
Luyao HUANG ; Jing DING ; Xin WANG
Chinese Journal of Clinical Medicine 2025;32(3):505-511
Epilepsy, which leads to an enduring high tendency to generate epileptic seizures, is a neurological disorder characterized by recurrent episodes of paroxysmal brain dysfunction due to abnormal synchronous neuronal discharges. Patients with epilepsy are usually comorbid with various sleep disorders, such as restless leg syndrome/periodic limb movement disorder (RLS/PLMD), chronic insomnia and narcolepsy. Frequent seizures may increase the risk of suffering from sleep disorders; conversely, poor control of sleep disorders exacerbates epilepsy. This review discusses common types of sleep disorders in patients with epilepsy, reveals potential mechanisms, and introduces new advances in the treatment of comorbidity between epilepsy and sleep disorders. The aim is to provide an overview of the close interactions between epilepsy and sleep disorders, providing new ideas and experiences for more effective treatment of sleep disorders and improving the prognosis of patients with epilepsy.
3.Development and validation of a risk prediction model for in-stent restenosis after percutaneous coronary intervention
Jie HUANG ; Qilin ZOU ; Junqiu ZHAO ; Luyao DING
Chinese Journal of Primary Medicine and Pharmacy 2025;32(1):53-59
Objective:To develop and validate a risk prediction model for in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).Methods:This prospective study included 126 patients with acute myocardial infarction (AMI) who underwent PCI at Lishui Central Hospital from May 2021 to April 2023. The patients were divided into two groups based on whether they experienced ISR after PCI: ISR group ( n = 33) and non-ISR group ( n = 93). Clinical data were compared between the two groups. Binary logistic regression was used to identify independent risk factors for ISR in patients with AMI after PCI. A risk prediction model was then developed, and the predictive value of the model was assessed using receiver operating characteristic curve analysis. Results:After surgery, significant differences were observed between the ISR and non-ISR groups regarding postoperative smoking [21(63.64%) vs. 27(29.03%)], elevated uric acid level [19 (57.58%) vs. 28(30.11%)], serum amyloid A (SAA) ≥ 10 mg/L [20(60.61%) vs. 26(27.96%)], and lipoprotein(a) [Lp(a)] ≥ 300 mg/L [21(63.64%) vs. 32(34.41%)] [ χ2 = 12.36, 7.85, 11.20, 8.53, all P < 0.05]. Postoperative smoking, elevated uric acid levels, SAA ≥ 10 mg/L, and Lp(a) ≥ 300 mg/L were identified as independent risk factors for ISR in patients with AMI after PCI ( OR = 0.234, 0.317, 0.252, 0.300, all P < 0.05). A risk prediction model for ISR after PCI was developed based on postoperative smoking, elevated uric acid levels, SAA levels, and Lp(a) levels ≥ 300 mg/L. Receiver operating characteristic curve analysis revealed the areas under the curve were 0.673 [95% CI(0.564, 0.782)], 0.637 [95% CI(0.525, 0.750)], 0.663 [95% CI(0.552, 0.774)], 0.646 [95% CI(0.536, 0.757)], and 0.889 [95% CI(0.821, 0.958)] for ostoperative smoking, elevated uric acid levels, SAA levels, Lp(a) levels ≥ 300 mg/L, and the risk prediction model, respectively. At the critical threshold values, the sensitivities for these variables were 0.636, 0.576, 0.606, 0.636, and 0.909, respectively, while the specificities were 0.710, 0.699, 0.720, 0.656, and 0.763, respectively. The bootstrap method (B = 1000) was used for the internal validation of the risk prediction model. After bias correction, the predicted curve approached the ideal curve, yielding a consistency index of 0.778, which indicates a high predictive value for the model. Moreover, the risk prediction model demonstrated a net benefit greater than 0 within a threshold probability range of 0.02 to 0.93, exceeding two ineffective thresholds. Conclusions:Postoperative smoking, elevated uric acid levels, SAA, and Lp(a) are independent risk factors for ISR in patients with AMI after PCI. The risk prediction model developed based on these four factors demonstrates a high predictive value, which can aid in assessing the risk of ISR in AMI patients with AMI after PCI and in formulating appropriate intervention measures.
4.Progress on Compilation,Implementation and Coordination of Medical Service Price Item Guideline
Zixi DONG ; Meijin HUANG ; Zhizhong QIN ; Luyao ZHANG ; Xiufang DING ; Yongjun LUO
Chinese Health Economics 2025;44(11):67-71
China's Medical Service Price(MSP)reform has entered a new phase,implementing management measures.The compilation,implementation,and coordination of MSP item guidelines and the existing contradictions and problems were reviewed.It proposes strengthening price item management in planning under the background of the new era,itemizing in the alignment particle size,and comparing prices in the same coordinate system.This can offer systematic approaches and innovative strategies for improving the quality and efficiency of deepening MSP reform.
5.Development and validation of a risk prediction model for in-stent restenosis after percutaneous coronary intervention
Jie HUANG ; Qilin ZOU ; Junqiu ZHAO ; Luyao DING
Chinese Journal of Primary Medicine and Pharmacy 2025;32(1):53-59
Objective:To develop and validate a risk prediction model for in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).Methods:This prospective study included 126 patients with acute myocardial infarction (AMI) who underwent PCI at Lishui Central Hospital from May 2021 to April 2023. The patients were divided into two groups based on whether they experienced ISR after PCI: ISR group ( n = 33) and non-ISR group ( n = 93). Clinical data were compared between the two groups. Binary logistic regression was used to identify independent risk factors for ISR in patients with AMI after PCI. A risk prediction model was then developed, and the predictive value of the model was assessed using receiver operating characteristic curve analysis. Results:After surgery, significant differences were observed between the ISR and non-ISR groups regarding postoperative smoking [21(63.64%) vs. 27(29.03%)], elevated uric acid level [19 (57.58%) vs. 28(30.11%)], serum amyloid A (SAA) ≥ 10 mg/L [20(60.61%) vs. 26(27.96%)], and lipoprotein(a) [Lp(a)] ≥ 300 mg/L [21(63.64%) vs. 32(34.41%)] [ χ2 = 12.36, 7.85, 11.20, 8.53, all P < 0.05]. Postoperative smoking, elevated uric acid levels, SAA ≥ 10 mg/L, and Lp(a) ≥ 300 mg/L were identified as independent risk factors for ISR in patients with AMI after PCI ( OR = 0.234, 0.317, 0.252, 0.300, all P < 0.05). A risk prediction model for ISR after PCI was developed based on postoperative smoking, elevated uric acid levels, SAA levels, and Lp(a) levels ≥ 300 mg/L. Receiver operating characteristic curve analysis revealed the areas under the curve were 0.673 [95% CI(0.564, 0.782)], 0.637 [95% CI(0.525, 0.750)], 0.663 [95% CI(0.552, 0.774)], 0.646 [95% CI(0.536, 0.757)], and 0.889 [95% CI(0.821, 0.958)] for ostoperative smoking, elevated uric acid levels, SAA levels, Lp(a) levels ≥ 300 mg/L, and the risk prediction model, respectively. At the critical threshold values, the sensitivities for these variables were 0.636, 0.576, 0.606, 0.636, and 0.909, respectively, while the specificities were 0.710, 0.699, 0.720, 0.656, and 0.763, respectively. The bootstrap method (B = 1000) was used for the internal validation of the risk prediction model. After bias correction, the predicted curve approached the ideal curve, yielding a consistency index of 0.778, which indicates a high predictive value for the model. Moreover, the risk prediction model demonstrated a net benefit greater than 0 within a threshold probability range of 0.02 to 0.93, exceeding two ineffective thresholds. Conclusions:Postoperative smoking, elevated uric acid levels, SAA, and Lp(a) are independent risk factors for ISR in patients with AMI after PCI. The risk prediction model developed based on these four factors demonstrates a high predictive value, which can aid in assessing the risk of ISR in AMI patients with AMI after PCI and in formulating appropriate intervention measures.
6.Mechanism of action of dysregulated mitochondrial quality control system mediating Parkinson's disease
Juan LIU ; Yanjie LI ; Hewei QIN ; Luyao MA ; Nannan ZHAO ; Huimin DING
The Journal of Practical Medicine 2024;40(11):1479-1482
Parkinson's disease(PD)is a common neurodegenerative disease with a complex pathogenesis,and a large number of studies have shown that mitochondrial dysfunction is an important causative factor for PD,whereas dysregulation of mitochondrial quality control is a key factor leading to mitochondrial dysfunction,and that aberrant mitochondrial biogenesis,fusion/fission imbalance,and mitochondrial hyperautophagy are closely associated with the onset of PD,but the role of the mitochondrial quality control system in the progression of PD is unclear.Therefore,this paper reviews the mechanism of mitochondrial quality control system in PD,with the aim of providing new ideas and theoretical basis for the clinical prevention and treatment of PD.

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