[Cancer incidence and mortality in China, 2022].

Objective: The National Central Cancer Registry estimates the number of new cancer cases and deaths in China in 2022, using incidence and mortality data collected by the National Cancer Center. Methods: According to the data of 700 cancer registries in 2018 and the data of 106 cancer registries from 2010 to 2018, the age-period-cohort model was used to estimate the incidence rate and mortality rate of all cancers and 23 types of cancer in 2022, stratified by gender and urban and rural areas. We estimated the number of new cancer cases and deaths in China in 2022 based on the estimated rate and population data in 2022. Results: The estimated results showed that in 2022, there were approximately 4 824 700 new cancer cases in China (2 533 900 in males and 2 290 800 in females), with an age-standardized incidence rate of Chinese population (ASIR) of 208.58 per 100 000 (212.67 per 100 000 for males and 208.08 per 100 000 for females). Approximately 2 903 900 new cancer cases occurred in urban areas, with an ASIR of 212.95 per 100 000. It was estimated about 1 920 800 new cancer cases in rural areas, and the ASIR was 199.65 per 100 000. The top five cancers (lung cancer 1 060 600, colorectal cancer 517 100, thyroid cancer 466 100, liver cancer 367 700 and female breast cancer 357 200) accounted for 57.4% of all new cases. The estimated number of deaths from cancer in China in 2022 was 2 574 200 (1 629 300 in males and 944 900 in females), with an age-standardized mortality rate of Chinese population (ASMR) of 97.08 per 100 000 (127.70 per 100 000 in males and 68.67 per 100 000 in females). The number of deaths from cancer in urban and rural areas was about 1 400 600 and 1 173 400, with the ASMR of 92.37 and 103.97 per 100 000 in urban and rural areas, respectively. The top five leading cause of cancers death (lung cancer 733 300, liver cancer 316 500, gastric cancer 260 400, colorectal cancer 240 000 and esophageal cancer 187 500) accounted for 67.5% of all cancer deaths. Lung cancer ranked first in the incidence and mortality in men and women. The incidence rate in urban areas was higher than that in rural areas, while the mortality rate was lower than that in rural areas. Conclusions: The burden of cancer in China is still relatively heavy, with significant differences in cancer patterns in gender, urban-rural, and regional. The burden of cancer presents a coexistence of developed and developing countries, and the situation of cancer prevention and control is still serious in China.

[The efficacy analysis of neurosurgical robot-assisted DBS in the treatment of elderly Parkinson's disease].

Objective: To investigate the surgical efficacy of neurosurgery robot deep brain stimulation(DBS) in the treatment of elderly Parkinson's disease(PD). Methods: The clinical data of elderly patients (≥75 years) with PD who underwent neurosurgical robot-assisted DBS surgery in the Department of Neurosurgery of the General Hospital of Northern Theater Command from September 2016 to September 2022 were collected retrospectively. Operation time, electrode implantation duration, postoperative pneumocephalus volume, electrode implantation accuracy, the Tao's DBS surgery scale, perioperative complications were analyzed.The unified Parkinson's disease rating scales (UPDRS), UPDRS-Ⅲ, tremor, rigidity, bradykinesia, axial, Barthel Activities of Daily Living (ADL-Barthel), Levodopa Equivalent Daily Dose (LEDD), Montreal Cognitive Assessment (MoCA), Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) scores and mortality were assessed respectively before operation, 6, 12 and 24 months after operation and last follow-up. Results: A total of 25 elderly patients were enrolled, including 14 males and 11 females, aged(78.3±3.2) years. Nine patients had underlying diseases. Nine patients (36%) underwent bilateral Globus Pallidus pars Interna deep brain stimulation (GPi-DBS) and 16 patients (64%) underwent bilateral subthalamic nucleus deep brain stimulation (STN-DBS).The operation time was (1.56±0.19) hours, the electrode implantation duration was (1.01±0.19) hours, the pneumocephalus volume was 9.8(4.7, 23.3) cm3, and the electrode implantation accuracy was (0.84±0.24) mm, the Tao's DBS surgery scale was (80.2±6.2).The follow-up time [M(Q1, Q3)] was 57.3(27.9, 75.7) months. No serious complications such as intracranial hemorrhage, infection or poor wound healing occurred during the perioperative period. The improvement rate of UPDRS, UPDRS-Ⅲ, rigidity, bradykinesia, and LEDD at 6 months after surgery was significantly higher than that at 24 months after surgery and at the last follow-up (all P<0.05); the improvement rate of axial symptoms, ADL-Barthel score, and MoCA score at 6 months after surgery was significantly higher than that at the last follow-up (P<0.05). HAMD and HAMA scores showed no significant improvement during follow-up after surgery (both P>0.05). At the last follow-up, 12 patients died, with death time of (35.1±20.2) months after operation, and the death age of [M(Q1, Q3)] 80(79, 83)years. Conclusions: Robot-assisted DBS surgery for elderly patients with PD is accurate and safe, and the postoperative symptoms are significantly improved, and they can benefit from neuromodulation for long term, and the risks are controllable.

[Establishment and efficiency test of a clinical prediction model of bronchopulmonary dysplasia associated pulmonary hypertension in very premature infants].

Objective: To develop a risk prediction model for identifying bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH) in very premature infants. Methods: This was a retrospective cohort study. The clinical data of 626 very premature infants whose gestational age <32 weeks and who suffered from BPD were collected from October 1st, 2015 to December 31st, 2021 of the Seventh Medical Center of the People's Liberation Army General Hospital as a modeling set. The clinical data of 229 very premature infants with BPD of Hunan Children's Hospital from January 1 st, 2020 to December 31st, 2021 were collected as a validation set for external verification. The very premature infants with BPD were divided into PH group and non PH group based on the echocardiogram after 36 weeks' corrected age in the modeling set and validation set, respectively. Univariate analysis was used to compare the basic clinical characteristics between groups, and collinearity exclusion was carried out between variables. The risk factors of BPD associated PH were further screened out by multivariate Logistic regression, and the risk assessment model was established based on these variables. The receiver operating characteristic (ROC) area under curve (AUC) and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the model's discrimination and calibration power, respectively. And the calibration curve was used to evaluate the accuracy of the model and draw the nomogram. The bootstrap repeated sampling method was used for internal verification. Finally, decision curve analysis (DCA) to evaluate the clinical practicability of the model was used. Results: A total of 626 very premature infants with BPD were included for modeling set, including 85 very premature infants in the PH group and 541 very premature infants in the non PH group. A total of 229 very premature infants with BPD were included for validation set, including 24 very premature infants in the PH group and 205 very premature infants in the non PH group. Univariate analysis of the modeling set found that 22 variables, such as artificial conception, fetal distress, gestational age, birth weight, small for gestational age, 1 minute Apgar score ≤7, antenatal corticosteroids, placental abruption, oligohydramnios, multiple pulmonary surfactant, neonatal respiratory distress syndrome (NRDS)>stage Ⅱ, early pulmonary hypertension, moderate-severe BPD, and hemodynamically significant patent ductus arteriosus (hsPDA) all had statistically significant influence between the PH group and the non PH group (all P<0.05). Antenatal corticosteroids, fetal distress, NRDS >stage Ⅱ, hsPDA, pneumonia and days of invasive mechanical ventilation were identified as predictive variables and finally included to establish the Logistic regression model. The AUC of this model was 0.86 (95%CI 0.82-0.90), the cut-off value was 0.17, the sensitivity was 0.77, and the specificity was 0.84. Hosmer-Lemeshow goodness-of-fit test showed that P>0.05. The AUC for external validation was 0.88, and the Hosmer-Lemeshow goodness-of-fit test suggested P>0.05. Conclusions: A high sensitivity and specificity risk prediction model of PBD associated PH in very premature infants was established. This predictive model is useful for early clinical identification of infants at high risk of BPD associated PH.