[Purpose]To analyze the incidence and mortality of prostate cancer in Zhejiang cancer registration areas in 2021 and the trends from 2000 to 2021.[Methods]Data of prostate cancer incidence and mortality in Zhejiang cancer registration areas from 2000 to 2021 were collected.The crude incidence/mortality rates,age-standardized incidence/mortality rates by Chinese stan-dard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rates(0～74 years old)were calculated.Joinpoint regression model was used to estimate the annual percentage change(APC)and average annual percentage change(AAPC)to assess trends.[Results]In 2021,6 683 new prostate cancer cases were reported in Zhejiang cancer registration areas,the crude incidence rate and ASIRC of prostate cancer were 61.21/105 and 26.78/105,respec-tively.The number of prostate cancer deaths was 1 036,the crude mortality rate and ASMRC were 9.49/105 and 3.28/105,respectively.From 2000 to 2021,a total of 30 876 new prostate cancer cases and 7 458 deaths were reported.The average crude incidence rate was 25.50/105,and the ASIRC was 13.35/105;the crude mortality rate and ASMRC rates were 6.16/105 and 2.82/105,respectively.The ASIRC was higher in urban areas(13.58/105)than that in rural areas(12.84/105),while the ASMRC was lower in urban areas(2.60/105)than that in rural areas(3.33/105).From 2000 to 2021,both the ASIRC and ASMRC showed significant upward trends in Zhejiang cancer registration areas with AAPC of 13.88％(95％CI:11.43％～16.08％,P＜0.001)and 4.35％(95％CI:2.21％～6.18％,P＜0.001),respectively.[Conclusion]Prostate cancer incidence in Zhejiang Province had risen rapidly in last two decades,with rural areas facing a heavier mortality burden.Special attention should be paid to the elderly male population in rural areas,and the three-level prevention strategy should be strengthened to reduce the disease burden.

[Purpose]To analyze the incidence and mortality of prostate cancer in Zhejiang cancer registration areas in 2021 and the trends from 2000 to 2021.[Methods]Data of prostate cancer incidence and mortality in Zhejiang cancer registration areas from 2000 to 2021 were collected.The crude incidence/mortality rates,age-standardized incidence/mortality rates by Chinese stan-dard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rates(0～74 years old)were calculated.Joinpoint regression model was used to estimate the annual percentage change(APC)and average annual percentage change(AAPC)to assess trends.[Results]In 2021,6 683 new prostate cancer cases were reported in Zhejiang cancer registration areas,the crude incidence rate and ASIRC of prostate cancer were 61.21/105 and 26.78/105,respec-tively.The number of prostate cancer deaths was 1 036,the crude mortality rate and ASMRC were 9.49/105 and 3.28/105,respectively.From 2000 to 2021,a total of 30 876 new prostate cancer cases and 7 458 deaths were reported.The average crude incidence rate was 25.50/105,and the ASIRC was 13.35/105;the crude mortality rate and ASMRC rates were 6.16/105 and 2.82/105,respectively.The ASIRC was higher in urban areas(13.58/105)than that in rural areas(12.84/105),while the ASMRC was lower in urban areas(2.60/105)than that in rural areas(3.33/105).From 2000 to 2021,both the ASIRC and ASMRC showed significant upward trends in Zhejiang cancer registration areas with AAPC of 13.88％(95％CI:11.43％～16.08％,P＜0.001)and 4.35％(95％CI:2.21％～6.18％,P＜0.001),respectively.[Conclusion]Prostate cancer incidence in Zhejiang Province had risen rapidly in last two decades,with rural areas facing a heavier mortality burden.Special attention should be paid to the elderly male population in rural areas,and the three-level prevention strategy should be strengthened to reduce the disease burden.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

Objective:To explore the association between the intake and changes in various types of food and the changes in blood pressure in patients with mild to moderate hypertension.Methods:Mild to moderate hypertension participants with complete baseline and outcome data were included from DECIDE-Diet study, a multicenter, randomized controlled trial. Dietary records and blood pressure measurements at both 7-day run-in (baseline) and 28-day intervention phases were collected for enrolled participants. Blood pressure change was defined as the difference between blood pressure at the end of trial and the baseline blood pressure. Baseline intake of food was the average daily intake during the run-in period, and the intake increment was defined as the difference between the average intake during the trial period and the average intake during the run-in period. After adjusting for age, sex, study center, intervention groups, baseline body mass index (kg/m 2), antihypertension medication use, and baseline total calorie intake, a linear regression model was used to analyze the associations of the before-after-intervention change in blood pressure with baseline intake and intake increment of foods. Results:A total of 258 patients with mild to moderate hypertension were included, including 133 males, aged (56.5±9.9) years. (1) After adjusting for confounding factors, there was no significant association between baseline intake of food and baseline blood pressure (all P>0.05). The blood pressure change was negatively associated with baseline intakes of tubers, vegetables, and vegetable oils but positively with baseline intake of meats; and was negatively associated with intake increment of whole grains and fish (all P<0.05). (2) The multiple linear regression analysis showed that baseline intake of vegetables ( β=-0.021, P=0.004), vegetable oils ( β=-0.260, P=0.002), and increment in intake of fish ( β=-0.128, P=0.026) were all significantly associated with changes in systolic blood pressure; baseline intake of vegetables ( β=-0.017, P=0.002), vegetable oils ( β=-0.182, P=0.001), dairy products ( β=0.021, P=0.022), and increment in intake of fish ( β=-0.092, P=0.010) were all significantly associated with changes in diastolic blood pressure. Conclusion:Increasing the intake of whole grains, vegetables, vegetable oils, and fish and decreasing the intake of meat may be beneficial for blood pressure control in patients with mild to moderate hypertension.

Objective:To explore the protective effects of breastfeeding on behavioral problems at 4 years in children born to mothers with gestational diabetes mellitus (GDM).Methods:Based on the Ma' anshan Birth Cohort (MABC) study, 305 GDM women and their children were recruited in this study from Ma' anshan Maternal and Child Health Care Hospital from May 2013 to September 2014. Total breastfeeding duration was followed up at 42 d, 3, 6, 12, and 18 months postpartum as well as the breastfeeding intensity within 6 months. All the subjects were divided into breastfeeding group ( n=256, including exclusive breastfeeding and mixed feeding) or bottle feeding group ( n=49). Internalizing and externalizing behavioral problems at age 4 were assessed using Achenbach Child Behavior Checklist (CBCL/1.5~5) and their association with breastfeeding were analyzed using robust Poisson regression. Controlling false discovery rate was applied for multiple test correction. Results:Compared with bottle feeding, breastfeeding was a protective factor for depression in children ( RR=0.23, 95% CI: 0.05-0.98, q=0.048) when the duration was 4-5 months; for somatic complaints ( RR=0.36, 95% CI: 0.14-0.95, q=0.047) and anxiety ( RR=0.19, 95% CI: 0.06-0.62, q=0.010) with a breastfeeding duration of 6-11 months; and for depression ( RR=0.46, 95% CI: 0.25-0.83, q=0.039) and anxiety ( RR=0.12, 95% CI: 0.03-0.49, q=0.006) with a breastfeeding duration of 12 months and above. Compared with bottle feeding within 6 months, mixed feeding had a protective effect on somatic complaints ( RR=0.29, 95% CI: 0.13-0.64, q=0.026) and anxiety ( RR=0.18, 95% CI:0.07-0.52, q=0.002). Conclusions:The findings suggested that breastfeeding had a protective effect on behavioral problems at age 4 in children exposed to GDM. Women with GDM should be encouraged to breastfeed.

Objective To determine the levels of blood pancreatic stone protein/ regenerating protein(PSP/reg)and to explore the value of PSP/ reg in assessing severity and predicting prognosis of sepsis with or without panc-reatic damage. Methods In this prospective study,the clinical data and blood samples to measure PSP/ reg levels in 1,3 and 7 days after admission in the Pediatric Intensive Care Unit,Hunan Children's Hospital,from the children with sepsis from September 2013 to September 2014 were collected. According to levels of pancreatic trypsin(amylase or li-pase),the children were divided into normal group,mildly elevated group(1 - 3 times),and severely elevated group (more than 3 times);based on the condition of sepsis,the children were divided into sepsis group and severe sepsis group. Chi - square test,nonparametric rank sum test,Spearman correlation and area under the receiver operating cha-racteristic curve(AUC),Kaplan - Meier survival curves were used for statistical analysis. Results (1)A total of 226 children with sepsis were included in this study,among them pancreatic trypsin was normal in 159 cases(70. 4% ), pancreatic trypsin mildly elevated in 44 cases( 19. 4% ),and pancreatic trypsin severely elevated in 23 cases (10. 2% );125 cases(55. 3% )were sepsis,and 101 cases(44. 7% ,of which 29 cases were sepsis shock)were severe sepsis.(2)The correlation between PSP/ reg and serum amylase was maximum,while PSP/ reg had some correlation with serum lipase,but there was no correlation with C - peptide,insulin,glucose.(3)When pancreatic trypsin was normal or mildly elevated,severe sepsis group had higher levels of PSP/ reg than that of sepsis group(Z = - 7. 627,- 2. 965,P =0. 000,0. 003);while pancreatic trypsin was severe elevated,there was no significant difference in PSP/ reg levels be-tween sepsis group and severe sepsis group(Z = - 0. 134,P = 0. 894).(4)The AUC of PSP/ reg and procalcitonin to assess severity of sepsis were greater than 0. 7 in the children whose pancreatic trypsin was normal or mildly elevated, and there was no significant difference between them(P ﹥ 0. 05);while the AUC of C - reactive protein and WBC were less than 0. 7.(5)PSP/ reg levels gradually increased in non - survival children in 3 and 7 days,while survival children gradually declined. The AUC of PSP/ reg to predict prognosis was 0. 775,and 60 μg/ L was viewed as the critical point, sensitivity 89% ,specificity 67% . Children with PSP/ reg levels ≤60 μg/ L had higher rate of survival than children with ﹥ 60 μg/ L(χ2 = 36. 874,P = 0. 000). Conclusions PSP/ reg is closely associated with pancreatic exocrine func-tion,but PSP/ reg still can assess severity and predict prognosis in children with sepsis and pancreatic damage.

OBJECTIVETo evaluate relevant prognostic factors of unrelated single unit umbilical cord blood hematopoietic stem cell transplantation (sUCBT), and to explore the correlation between cryopreservation time of cord blood and cell viability and outcome of sUCBT.

METHODSRetrospective analysis of 137 patients undergoing sUCBT with cord blood provided by Shanghai Cord Blood Bank from Mar. 15, 2007 to Dec. 26, 2013 were performed in this study. The mean cryopreservation time of 137 units cord blood was 698(96-1968) days, with mean cell viability of 87.4% after thawing.

RESULTSNo statistical difference on cell viability, hematopoietic reconstitution, graft failure, acute graft versus host disease (GVHD) and overall survival (OS) was found between patients transfused with cord blood preserved below and above 2 years. The 5-year OS of patients transfused with cord blood preserved below and above 2 years were 55.6% and 67.9%, respectively (P=0.124). OS of the UCBT at 2011 and before, and after 2011 was 48.7% and 79.6%, respectively (P=0.001). Age above 16-year-old (RR=2.830, P=0.027) and UCBT at 2011 and before (RR=0.203, P<0.001) were two risk factors of treatment related mortality.

CONCLUSIONOutcome of sUCBT in China had significant improvement in recent 2 years. Cryopreservation time of cord blood had no statistical correlation to cell viability after thawing and clinical outcome.

Cell Survival ; China ; Cord Blood Stem Cell Transplantation ; Fetal Blood ; Graft vs Host Disease ; Hematopoietic Stem Cell Transplantation ; Humans ; Retrospective Studies

OBJECTIVETo investigate the impact of cryopreservation duration of umbilical cord blood (UCB) on quality of hematopoietic stem cell and outcome of clinical transplantation.

METHODS605 units of UCB which had been used in clinical transplantation were previously cryopreserved for 820 (88-2651) days in average. UCB was detected for total nucleated cell count, CD34+ cells count, cell recovery rate, cell viability and CFU-GM after thawing.

RESULTSNo statistical correlation was found between cryopreservation duration and cell recovery rate, cell viability. CFU-GM decreased along with the extension of cryopreservation duration (P=0.011), ranging between 109.6 and 105.7/1 × 10⁵. There was no significant difference on hematopoietic reconstitution time, graft failure, acute GVHD and overall survival among groups with different cryopreservation duration.

CONCLUSIONCryopreservation duration has no significant effect on cell recovery rate, cell viability and clinical transplantation outcome. Extension of cryopreservation duration may reduce CFU-GM of stem cells with fluctaion still in normal range. UCB could maintain cell viability and function to achieve satisfactory clinical transplantation outcome even when thawed after 3 to 7 years' cryopreservation.

Cell Count ; Cell Survival ; Cryopreservation ; Fetal Blood ; Graft vs Host Disease ; Granulocyte-Macrophage Progenitor Cells ; Hematopoietic Stem Cell Transplantation ; Hematopoietic Stem Cells ; Humans ; Treatment Outcome

OBJECTIVETo study the value of Pentraxin 3 (PTX3) in diagnosing the severity and cardiovascular function of the critically ill children. Method A total of 178 patients who were older than 28 days, with acute infection of respiratory or neurological system, excluding chronic or special disease, and admitted to the pediatric intensive care unit (PICU) of Hunan Children's Hospital from October 1, 2013 to April 30, 2014 were enrolled, including 102 male cases and 76 female cases. The ages ranged from 1 month to 13 years and 1 month, 78 of them were less than 1 year old ; 58 cases were between 1 to 3 years old; 42 cases were above 3 years old; 101 cases were diagnosed as respiratory system diseases, 77 cases had nervous system diseases. PTX3 was detected with enzyme-linked immunosorbent assay (ELISA) within 1 d after enrollment, at 3 days and 7 days, meanwhile, troponin, myocardial enzyme, brain-type natriuretic peptide (BNP), C-reactive protein (CRP), plasma calcitonin (PCT) and WBC etc. Were measured. According to the plasma PTX3 value which were measured within 24 h after enrollment the patients were divided into three groups: mildly elevated group (< 44 µg/L) 41 cases; moderately elevated group (44 - < 132 µg/L) in 66 cases; severely elevated group 71 cases (132 µg/L or higher). Those 178 patients were divided into 3 groups according to the degree of infection: non-sepsis group (78 cases), sepsis group (70 cases), severe sepsis group (30 cases), and in each group, those with heart failure were respectively 19 cases, 28 cases, 17 cases. Analysis of the plasma PTX3 expression changes in different clinical manifestations, different condition, different degrees of organ damages and prognosis for the patient. The continuous variables were analyzed with t-test, F-test, H-test, the categorical variables were analyzed with Chi-square test, and the correlation analysis was performed to calculate Pearson coefficients.

RESULTThe PTX3 value measured within 24 h after enrollment increased with the degree of infection (50. 4(35. 2,70. 4) µg/L; 175. 8 (99. 6, 309. 9) µg/L;419. 9 (168. 3, 468. 6) µg/L; H = 88. 345, P = 0. 000). PTX3 level gradually declined, while in severe sepsis group decreased slowly (P <0. 05); the area under the ROC curve of Plasma PTX3 was larger than that of other inflammatory markers such as CRP and PCT, white blood cells and neutrophils in the diagnosis of sepsis; while the former three are PTX3, PCT and CRP (the sensitivity and specificity respectively were 0. 77, 0. 68; 0. 66, 0. 6; 0. 47, 0. 55); the PTX3 value of the severely elevated group was significantly higher than those of the mildly and moderately elevated groups (P <0. 05). The proportion of having 3 or more organs failure increased as the PTX3 rising among the groups of mildly elevated group, moderately elevated group and severely elevated group (1(2. 4%), 4(6. 1%), 14(19. 7%) χ2 =16. 16,P = 0. 000); and in each group, the proportion of having good and poor prognosis for these three groups were different (33 (80.5%) and 8 (19. 5%), 35 (53%) and 31 (47%), 28 (39.4%) and 43 (60.6%), χ = 17. 663, P = 0. 000). The K-M curve for these three groups had statistically significant difference (χ2 = 7. 086, P = 0. 029). Those with heart failure had higher PTX3 value than those in non-heart failure at the same degree of infection. PTX3 value increased with myocardial enzyme (troponin, creatine kinase isoenzyme, BNP) levels. In the diagnosis of heart failure, the area under the ROC curve were respectively PTX3 0. 824; BNP 0. 772; CM-KB 0. 643; CNTIO. 671, the sensitivity and specificity were PTX3 0. 8, 0. 58; CK-MB 0. 56,0. 79; CTNI 0. 60,0. 69; BNP 0. 73, 0. 58. In terms of predicting the prognosis of sepsis with heart failure complications, the PTX3 value's area under ROC curve was larger than that of BNP (respectively 0. 844, 0. 472).

CONCLUSIONThe PTX3 is an objective biochemical marker in diagnosis of sepsis; it is helpful in assessment of severity and prognosis of sepsis; it also has a certain clinical value in the assessment of sepsis cardiovascular function damage.

Adolescent ; Biomarkers ; blood ; C-Reactive Protein ; analysis ; Calcitonin ; blood ; Cardiovascular System ; physiopathology ; Child ; Child, Preschool ; Creatine Kinase ; blood ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Infant ; Intensive Care Units, Pediatric ; Leukocyte Count ; Male ; Natriuretic Peptide, Brain ; blood ; Prognosis ; Protein Precursors ; blood ; ROC Curve ; Sensitivity and Specificity ; Sepsis ; diagnosis ; physiopathology ; Serum Amyloid P-Component ; analysis ; Troponin ; blood