Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To analyze the factors affecting overall survival(OS)of adult patients with core-binding factor acute myeloid leukemia(CBF-AML)and establish a prediction model.Methods:A total of 216 newly diagnosed patients with CBF-AML in the First Affiliated Hospital of Zhengzhou University from May 2015 to July 2021 were retrospectively analyzed.The 216 CBF-AML patients were divided into the training and the validation cohort at 7:3 ratio.The Cox regression model was used to analyze the clinical factors affecting OS.Stepwise regression was used to establish the optimal model and the nomogram.Receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the model performance.Results:Age(≥ 55 years old),peripheral blood blast(≥80％),fusion gene(AML1-ETO),KIT mutations were identified as independent adverse factors for OS.The area under the ROC curve at 3-year was 0.772 and 0.722 in the training cohort and validation cohort,respectively.The predicted value of the calibration curve is in good agreement with the measured value.DCA shows that this model performs better than a single factor.Conclusion:This prediction model is simple and feasible,and can effectively predict the OS of CBF-AML,and provide a basis for treatment decision.

Objective:To investigate the predictive value of Naples prognostic score (NPS) in assessing the overall survival of intrahepatic cholangiocarcinoma (ICC) patients after receiving hepatectomy treatment.Methods:Clinicopathological characteristics and follow-up data of 164 ICC patients who underwent curative hepatectomy at Zhejiang Cancer Hospital from Jan 2010 to Aug 2022 were retrospectively collected. NPS was calculated basing on preoperative serum albumin concentration, total cholesterol concentration, the neutrophil-lymphocyte ratio, and lymphocyte-monocyte ratio. The relationship between NPS and overall survival was analyzed, and the efficacy of NPS in predicting long-term survival was compared to TNM staging system and other independent risk factors.Results:Multivariate analysis identified the NPS [Score 1 versus 0: 1.864 (1.011-3.437), P=0.046; Score 2 versus 0: 3.013 (1.465-6.199), P=0.003] as an independent risk factor for overall survival. The area under curve (AUC) of the rece中iver operating characteristic (ROC) curve for predicting 5-year OS based on NPS is 0.75, which is higher than TNM staging (0.59) and other independent risk factors (CA19-9:0.71, lymph node metastasis: 0.66, tumor size: 0.62, microvascular invasion: 0.56). Conclusion:NPS as an independent predictor of overall survival for ICC patients, is more accurate than TNM staging system and other clinicopathological factors.

Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

OBJECTIVE: To develop a reduction device for the arthroscopy-assisted treatment of tibial plateau fracture and explore its clinical efficacy. METHODS: From May 2018 to September 2019, 21 patients with tibial plateau fracture were treated, including 17 males and 4 females. Their ages ranged from 18 to 55 years old with an average of (38.6±8.7) years old. There were 5 cases of Schatzker typeⅡand 16 cases of Schatzker type Ⅲ. The self-designed reductor combined with arthroscope was used for auxiliary reduction and fixation(minimally invasive percutaneous plate osteosynthesis). The efficacy was analyzed by observing the operation time, blood loss, fracture healing time and knee function(HSS and IKDC scoring criteria). RESULTS: All the 21 patients were followed up for 8 to 24 with an average of(14.0±3.1) months. The operative time ranged from 70 to 95 min with an average of(81.7±7.6)min, incision length ranged from 4 to 7 cm with an average of(5.3±0.9) cm, intraoperative blood loss ranged from 20 to 50 ml with an average of(35.3±5.2) ml, postoperative weight-bearing time ranged from 30 to 50 d with an average of(35.1±9.2) d, fracture healing time ranged from 65 to 90 d with an average of(75.0±4.4) d, and complications were 0 cases, respectively. The fracture was well healed and no screw plate fracture was observed. The knee function scores of HSS and IKDC 18 months after operation were significantly higher than those before operation(P<0.05). CONCLUSION The custom-made reduction tool for the arthroscopic management of tibial plateau fracture is reasonable in design and simple in operation. The specific reduction tool could effectively reduce the fracture, and shorten the fixation time with minimally invasive procedure.
Male ; Female ; Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Tibial Plateau Fractures ; Tibial Fractures/surgery* ; Fracture Fixation, Internal/methods* ; Treatment Outcome ; Bone Plates ; Retrospective Studies

OBJECTIVE: The leukemia cells from patients with T-cell acute lymphoblastic leukemia (T-ALL) were inoculated into NCG mice to establish a stable human T-ALL leukemia animal model. METHODS: Leukemia cells from bone marrow of newly diagnosed T-ALL patients were isolated, and the leukemia cells were inoculated into NCG mice via tail vein. The proportion of hCD45 positive cells in peripheral blood of the mice was detected regularly by flow cytometry, and the infiltration of leukemia cells in bone marrow, liver, spleen and other organs of the mice was detected by pathology and immunohistochemistry. After the first generation mice model was successfully established, the spleen cells from the first generation mice were inoculated into the second generation mice, and after the second generation mice model was successfully established, the spleen cells from the second generation mice were further inoculated into the third generation mice, and the growth of leukemia cells in peripheral blood of the mice in each group was monitored by regular flow cytometry to evaluate the stability of this T-ALL leukemia animal model. RESULTS: On the 10th day after inoculation, hCD45⁺ leukemia cells could be successfully detected in the peripheral blood of the first generation mice, and the proportion of these cells was gradually increased. On average, the mice appeared listless 6 or 7 weeks after inoculation, and a large number of T lymphocyte leukemia cells were found in the peripheral blood and bone marrow smear of the mice. The spleen of the mice was obviously enlarged, and immunohistochemical examination showed that hCD3⁺ leukemia cells infiltrated into bone marrow, liver and spleen extensively. The second and third generation mice could stably develop leukemia, and the average survival time was 4-5 weeks. CONCLUSION Inoculating leukemia cells from bone marrow of patients with T-ALL into NCG mice via tail vein can successfully construct a patient-derived tumor xenografts (PDTX) model.
Humans ; Animals ; Mice ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ; Heterografts ; Bone Marrow ; Disease Models, Animal ; T-Lymphocytes ; Mice, SCID

OBJECTIVE: To explore the clinical characteristics and prognosis of multiple myeloma(MM) patients with secondary primary malignancies. METHODS: The clinical data of newly diagnosed MM patients admitted to the First Affiliated Hospital of Zhengzhou University from January 2011 to December 2019 were retrospectively analyzed. The patients with secondary primary malignancies were retrieved, and their clinical features and prognosis were evaluated. RESULTS: A total of 1 935 patients with newly diagnosed MM were admitted in this period, with a median age of 62 (18-94) years old, of which 1 049 cases were hospitalized twice or more. There were eleven cases with secondary primary malignancies (the incidence rate was 1.05%), including three cases of hematological malignancies (2 cases of acute myelomonocytic leukemia and 1 case of acute promyelocytic leukemia) and eight cases of solid tumors (2 cases of lung adenocarcinoma, and 1 case each of endometrial cancer, esophageal squamous cell carcinoma, primary liver cancer, bladder cancer, cervical squamous cell carcinoma, and meningioma). The median age of onset was 57 years old. The median time between diagnosis of secondary primary malignancies and diagnosis of MM was 39.4 months. There were seven cases with primary or secondary plasma cell leukemia, the incidence rate was 0.67%, and the median age of onset was 52 years old. Compared with the randomized control group, the β2-microglobulin level in the secondary primary malignancies group was lower (P=0.028), and more patients were in stage I/II of ISS (P=0.029). Among the 11 patients with secondary primary malignancies, one survived, ten died, and the median survival time was 40 months. The median survival time of MM patients after the secondary primary malignancies was only seven months. All seven patients with primary or secondary plasma cell leukemia died, with a median survival time of 14 months. The median overall survival time of MM patients with secondary primary malignancies was longer than that of the patients with plasma cell leukemia (P=0.027). CONCLUSION The incidence rate of MM with secondary primary malignancies is 1.05%. MM patients with secondary primary malignancies have poor prognosis and short median survival time, but the median survival time is longer than that of patients with plasma cell leukemia.
Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Multiple Myeloma/complications* ; Leukemia, Plasma Cell ; Retrospective Studies ; Esophageal Neoplasms/complications* ; Esophageal Squamous Cell Carcinoma/complications* ; Prognosis ; Neoplasms, Second Primary

OBJECTIVE: To study the prognostic value of LPCAT1 in acute myeloid leukemia (AML). METHODS: TaqMan-based reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect relative expression of LPCAT1 in 214 newly diagnosed adult AML patients and 24 normal controls. Survival functions were estimated using the Kaplan-Meier method and were compared by the Log-rank test. A Cox proportional hazard regression model was used to identify prognostic factors. RESULTS: The expression level of LPCAT1 in adult AML was 34.37%(1.83%-392.63%), which was significantly lower than 92.81%(2.60%-325.84%) of normal controls (P<0.001). The prognostic significance of LPCAT1 was evaluated in 171 non-acute promyelocytic leukemia patients with complete clinical information and prognostic data. Survival analysis showed that the expression level of LPCAT1 had no significant effect on the prognosis of the whole cohort. However, in AML patients with FAB subtype M2 (AML-M2), the 2-year relapse-free survival (RFS) rate of patients with low LPCAT1 expression was 35.4%(95%CI: 0.107-0.601), which was significantly lower than 79.2%(95%CI: 0.627-0.957) of patients with high LPCAT1 expression (P=0.012). Multivariate analysis showed that low expression of LPCAT1 was an independent risk factor for RFS of AML-M2 patients (HR=0.355, 95%CI: 0.126-0.966, P=0.049). CONCLUSION In adult AML patients LPCAT1 shows low expression. Low LPCAT1 expression is an independent risk factor for RFS in M2-AML patients.
Humans ; Adult ; Prognosis ; Leukemia, Myeloid, Acute/metabolism* ; Survival Analysis ; Proportional Hazards Models ; Risk Factors ; 1-Acylglycerophosphocholine O-Acyltransferase

OBJECTIVE: To evaluate the prospective association between cumulative resting heart rate (cumRHR) and rapid renal function decline (RRFD) in a cohort of individuals aged 60 and older. METHODS: In the Tianjin Chronic Kidney Disease Cohort Study, the individuals who underwent three consecutive physical examinations between 2014 and 2017, with estimated glomerular filtration rate (eGFR) greater than 60 mL/min per 1.73 m² and aged 60 years or older were enrolled. A total of 27,564 patients were prospectively followed up from January 1, 2017 to December 31, 2020. The 3-year cumRHR was calculated. The primary outcome was RRFD, defined as an annualized decline in eGFR of 5 mL/min per 1.73 m² or greater. Logistic and restricted spline regression models and subgroup analysis were used to investigate the association of cumRHR with RRFD after adjusting for all confounders. RESULTS: During a median follow-up of 3.2 years, a total of 4,347 (15.77%) subjects developed RRFD. In fully-adjusted models, compared with the lowest quartile of cumRHR, the odds ratio (OR) for the highest was 1.44 (1.28-1.61), P < 0.001. Furthermore, each 1-standard deviation (27.97 beats/min per year) increment in cumRHR was associated with a 17% (P < 0.001) increased risk of RRFD, with a linear positive correlation (P for non-linear = 0.803). Participants with a 3-year cumRHR ≥ 207 (beats/min) * year (equivalent to ≥ 69 beats/min per year in 3 years) were found to be at a higher risk of RRFD. CONCLUSIONS The cumRHR is significantly associated with a higher risk of RRFD among older adults. These results might provide an effective goal for managing and delaying the decline of renal function in the older adults.