[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Objective: To evaluate the risk of fine particulate matter (PM2.5) on excess mortality among residents. Methods: The data of residential mortality in Yangzhou City, Jiangsu Province from 2015 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The average daily mass concentration of PM2.5 and meteorology data were collected from the Yangzhou Environmental Monitoring Station and Yangzhou Meteorological Bureau, respectively. The effects of PM2.5 on non-accidental mortality, morality of respiratory diseases and mortality of circulatory diseases were evaluated using a generalized additive model. The risk of excess mortality was evaluated using excess risk (ER) and the number of excess mortality. Results: The median average annual mass concentration of PM2.5 was 38.00 (interquartile range, 31.95) µg/m3 in Yangzhou City from 2015 to 2021, decreasing from 51.75 (interquartile range, 32.82) µg/m3 in 2015 to 28.00 (interquartile range, 23.42) µg/m3 in 2021. The median average annual number of non-accidental mortality, mortality of respiratory diseases and mortality of circulatory diseases were 96 (interquartile range, 22), 9 (interquartile range, 5) and 38 (interquartile range, 13) cases, respectively. The greatest effects of per 10 μg/m3 increase in PM2.5 mass concentration on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases were seen at a cumulative lag of 1 day (ER=0.528%, 95%CI: 0.293%-0.763%), a cumulative lag of 2 days (ER=0.917%, 95%CI: 0.125%-1.714%) and a cumulative lag of 1 day (ER=0.595%, 95%CI: 0.232%-0.961%), respectively. The number of excess mortality caused by PM2.5 on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases in Yangzhou City from 2015 to 2021 were 2 125, 412 and 977 cases, respectively; compared with 2015, the number of excess mortality in 2021 decreased by 66.95%, 75.53% and 64.42%, respectively. Conclusions An increase in the mass concentration of atmospheric PM2.5 may elevate the risk of excess mortality among residents. Compared to 2015, the number of excess deaths attributed to exposure to atmospheric PM2.5 declined in 2021.

OBJECTIVE To provide reference for improving the rational use of antimicrobial drugs in primary township medical institutions. METHODS Based on the county prescription pre-review center， a team led by anti-infective clinical pharmacists constructed the management mode for the use of antimicrobial drugs in county-level medical communities with clinical pharmacists as the main team by finding out the main problems in the use of antimicrobial drugs in primary township medical institutions， providing feedback on the problems， organizing relevant training for the problems， improving the customization rules of the prescription pre-review software， implementing the automatic interception and pharmacist online prescription review and other measures. Data on the use of antimicrobial drugs were collected and compared in the 15 primary township medical institutions between January-June in 2022 （before the implementation of the mode） and January-June in 2023 （after the implementation of the mode）. RESULTS Compared with before the implementation of the mode， the utilization rate of antimicrobial drugs in outpatients of primary township medical institutions decreased from 24.97% before the implementation of the mode to 19.39% after the implementation of the mode； the utilization rate of antimicrobial injection in outpatients decreased from 66.10% to 46.80%； the utilization rate of intravenous drip of antimicrobial drugs in outpatients decreased from 52.33% to 40.35%； the rates of combined use of antimicrobial drugs in outpatients decreased from 12.70% to 8.19%； the reasonable rate of antimicrobial prescribing in outpatients increased from 55.28% to 73.93%. After the implementation of the mode， the proportion of antimicrobial prescriptions for each diagnosis was basically the same as before； the defined daily dose system （DDDs） and proportion of a few antimicrobial drugs changed compared with before according to the anatomical therapeutic chemical classification of drugs， among which DDDs of lincomycin， gentamicin and other drugs declined significantly； DDDs of antimicrobial drugs for each classification was basically the same as before according to AWaRe classification. CONCLUSIONS The management mode of the use of antimicrobial drugs led by anti-infective clinical pharmacists is constructed in the prescription pre-reviewing center of county-level medical communities， which can effectively improve the rational use of antimicrobial drugs in the primary township medical institutions.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Background::Gastric cancer (GC), a malignant tumor with poor prognosis, is one of the leading causes of cancer-related deaths worldwide; consequently, identifying novel therapeutic targets is crucial for its corresponding treatment. NUF2, a component of the NDC80 kinetochore complex, promotes cancer progression in multiple malignancies. Therefore, this study aimed to explore the potential of NUF2 as a therapeutic target to inhibit GC progression. Methods::Clinical samples were obtained from patients who underwent radical resection of GC at Lanzhou University Second Hospital from 2016 to 2021. Cell count assays, colony formation assays, and cell-derived xenotransplantation (CDX) models were used to determine the effects of NUF2 on GC progression. Flow cytometry was used to detect the effect of NUF2 or quercetin on cell cycle progression and apoptosis. A live-cell time-lapse imaging assay was performed to determine the effect of NUF2 on the regulation of mitotic progression. Transcriptomics was used to investigate the NUF2-associated molecular mechanisms. Virtual docking and microscale thermophoresis were used to identify NUF2 inhibitors. Finally, CDX, organoid, and patient-derived xenograft (PDX) models were used to examine the efficacy of the NUF2 inhibitor in GC. Results::NUF2 expression was significantly increased in GC and was negatively correlated with prognosis. The deletion of NUF2 suppressed GC progression both in vivo and in vitro. NUF2 significantly regulated the mitogen-activated protein kinase (MAPK) pathway, promoted G2/M phase transition, and inhibited apoptosis in GC cells. Additionally, quercetin was identified as a selective NUF2 inhibitor with low toxicity that significantly suppressed tumor growth in GC cells, organoids, CDX, and PDX models. Conclusions::Collectively, NUF2-mediated G2/M phase transition and apoptosis inhibition promoted GC progression; additionally, NUF2 inhibitors exhibited potent anti-GC activity. This study provides a new strategy for targeting NUF2 to suppress GC progression in clinical settings.

Objective To explore whether hepatocyte Perilipin-2(Plin2)is involved in the development of fatty liver related to comparative gene identification-58(CGI-58)deficiency mice and compare the effects of Plin2 and Plin3 on lipid droplet formation and lipid accumulation.Methods Based on CGI-58Flox/Flox mice as animal model,the adeno-associated viruses targeting mouse liver,CGI-58 knockout and Plini2 knockdown were achieved by co-expression Cre protein and micro-RNA targeting Plin2(Mi-KD).Then CGI-58 deficiency mice were used as control(NC)to detect the differences in metabolic phenotype and liver pathology.AML-12 mouse hepatocytes were used as cellular model and interfered with siRNA to achieve Plin2/Plin3 knockdown in AML-12 cells.Lipid droplet formation and lipid accumulation were compared with Bodipy staining and enzyme colorimetry in basal condition or lipid-overloaded condition(OA inducement)after Plin2/Plin3 knockdown.Results Plin2 knockdown(Mi-KD)reduced PLIN2 protein level by＞99％in mouse livers.Mi-KD decreased hepatomegaly(P=0.019 5)and liver injury(P=0.000 4),while reduced the histological NAS score(P=0.000 2)and hepatic triglyceride content(P=0.016 6)in the CGI-58 deficiency female mice.Mi-KD prevented microvesicular hepatic steatosis in the CGI-58 deficient female mice.Plin3 knockdown significantly reduced the triglyceride content in basal condition of hepatocytes(P=0.001 4),and Plin2 knockdown just showed a decreased trend.Plin2 or Plin3 knockdown significantly reduced the triglyceride content separately in lipid-overloaded hepatocytes(P＜0.05).Conclusion Hepatocyte Plin2 is essential in the development of microvesicular hepatic steatosis caused by CGI-58 deficiency.Both Plin2 and Plin3 are involved in lipid droplet formation and lipid accumulation in hepatocytes,and Plin3 shows a stronger effect.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

OBJECTIVE: To explore the predictive value of acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA) and modified early warning score (MEWS) in evaluating the prognosis of patients in intensive care unit (ICU) of secondary hospitals, and to provide guidance for clinical application. METHODS: The clinical data of adult critical patients admitted to the ICU of Wanzhou District First People's Hospital from October 2022 to April 2023 were retrospectively analyzed. According to the clinical outcome of ICU, the patients were divided into improvement group and death group. The general information, blood routine, heart, liver and kidney function indicators, coagulation indicators, blood gas analysis, APACHE II score, SOFA score, qSOFA score, MEWS score at the time of admission to the ICU, the number of cases of invasive mechanical ventilation (IMV) and continuous blood purification (CBP) were compared between the two groups. Univariate analysis was performed, and multivariate Logistic regression analysis was used to analyze the related factors of death. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of the four scores in ICU patients. RESULTS: A total of 126 patients were included, of which 45 patients died in the ICU and 81 patients improved and transferred out. Univariate analysis of death-related critically ill patients showed that procalcitonin (PCT), serum creatinine (SCr), blood urea nitrogen (BUN), albumin (ALB), prothrombin time (PT), activated partial prothrombin time (APTT), D-dimer, pH value, HCO₃^-, blood lactic acid (Lac), number of patients treated with IMV and CBP, APACHE II score, SOFA score, qSOFA score and MEWS score were significantly different between the two groups (all P < 0.05). Multivariate Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.115, 95% confidence interval (95%CI) was 1.025-1.213, P = 0.011], SOFA score (OR = 1.204, 95%CI was 1.037-1.398, P = 0.015), MEWS score (OR = 1.464, 95%CI was 1.102-1.946, P = 0.009), and APTT (OR = 1.081, 95%CI was 1.015-1.152, P = 0.016) were independent risk factors affecting the mortality of critically ill patients in the ICU. ROC curve analysis showed that APACHE II, SOFA, qSOFA, and MEWS scores could predict the prognosis of critically ill ICU patients, among which SOFA score had the strongest predictive effect, and the area under the curve (AUC) was 0.808. There was a statistically significant difference in the time required for the four scores (F = 117.333, P < 0.001), among which the MEWS scoring required the shortest time [(1.03±0.39) minutes], and the APACHE II scoring required the longest time [(2.81±1.04) minutes]. CONCLUSIONS APACHE II, SOFA, qSOFA, and MEWS scores can be used to assess the severity of critically ill patients and predict in-hospital mortality. The SOFA score is superior to other scores in predicting severity. The MEWS is preferred because its assessment time is shortest. Early warning score can help secondary hospitals to detect potentially critical patients early and provide help for clinical rapid urgent emergency decision-making.
Adult ; Humans ; Sepsis/diagnosis* ; ROC Curve ; Retrospective Studies ; Critical Illness ; Early Warning Score ; Organ Dysfunction Scores ; Intensive Care Units ; Prognosis ; Hospitals