Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective:To study the early predictors of refractory septic shock (RSS) in neonates.Methods:From July 2020 to December 2021, clinical data of neonates with septic shock admitted to the Neonatal Department of our hospital were retrospectively reviewed. According to the maximum septic shock score (SSS) during clinical course, the neonates were assigned into RSS group and non-RSS group. Perinatal data, laboratory results and hemodynamic parameters at diagnosis were compared between the two groups. Multiple logistic regression analysis was used to identify independent risk factors of RSS and septic shock-related death. Receiver operating characteristic (ROC) curve was constructed to evaluate the early predictors of poor prognosis.Results:A total of 130 neonates were enrolled, including 54 in RSS group and 76 in non-RSS group. Compared with the non-RSS group, the RSS group had significantly lower pH, base excess (BE), stroke volume index (SVI), cardiac output (CO) and cardiac index (CI).Meanwhile, the RSS group had significantly higher mean arterial pressure (MAP) to CI ratio (MAP/CI) and SSS [including bedside SSS (bSSS), computed SSS (cSSS) and modified version of cSSS (mcSSS)] (all P<0.05). Multiple logistic regression analysis showed that increased MAP/CI was an independent predictor of RSS. The cut-off value of MAP/CI was 11.6 [sensitivity 62%, specificity 87%, positive predictive value (PPV) 79% and negative predictive value (NPV) 77%], with an area under the curve (AUC) of 0.734. Increased mcSSS was an independent predictor of septic shock-related death. The cut-off value of mcSSS was 5.8 (sensitivity 83%, specificity 72%, PPV 21% and NPV 97%), with an AUC of 0.845. Conclusions:Increased MAP/CI (≥11.6) and mcSSS (≥5.8) may be early predictors of RSS and septic shock-related death in neonates.

Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0％),Klebsiella aerogenes(5.8％),Klebsiella oxytoca(5.7％),and other Klebsiella species(0.6％).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)％.Internal medicine(22.79±3.28)％,surgery(17.98±3.10)％,and ICU(14.03±1.39)％were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

Purpose: This study aims to explore whether neoadjuvant chemotherapy with immunotherapy (NACI) leads to different tumor shrinkage patterns, based on magnetic resonance imaging (MRI), compared to neoadjuvant chemotherapy (NAC) alone in patients with triple-negative breast cancer (TNBC). Additionally, the study investigates the relationship between tumor shrinkage patterns and treatment efficacy was investigated. Methods: This retrospective study included patients with TNBC patients receiving NAC or NACI from January 2019 until July 2021 at our center. Pre- and post-treatment MRI results were obtained for each patient, and tumor shrinkage patterns were classified into three categories as follows: 1) concentric shrinkage (CS); 2) diffuse decrease; and 3) no change.Tumor shrinkage patterns were compared between the NAC and NACI groups, and the relevance of the patterns to treatment efficacy was assessed. Results: Of the 99 patients, 65 received NAC and 34 received NACI. The CS pattern was observed in 53% and 20% of patients in the NAC and NACI groups, respectively. Diffuse decrease pattern was observed in 36% and 68% of patients in the NAC and NACI groups. The association between the treatment regimens (NAC and NACI) and tumor shrinkage patterns was statistically significant (p = 0.004). The postoperative pathological complete response (pCR) rate was 45% and 82% in the NAC and NACI groups (p < 0.001), respectively. In the NACI group, 17% of patients with the CS pattern and 56% of those with the diffuse decrease pattern achieved pCR (p = 0.903). All tumor shrinkage patterns were associated with achieved a high pCR rate in the NACI group. Conclusion Our study demonstrates that the diffuse decrease pattern of tumor shrinkage is more common following NACI than that following NAC. Furthermore, our findings suggest that all tumor shrinkage patterns are associated with a high pCR rate in patients with TNBC treated with NACI.

Objective:To explore the effect of quality improvement of hemodynamic monitoring on fluid overload (FO) and outcome in newborns with septic shock.Methods:Non-invasive cardiac output monitoring and functional cardiac ultrasound quality improvement program was started during January 2020 in our hospital. Neonates with septic shock admitted before and after the program were retrospectively analyzed. From January 2018 to December 2019 was pre-improvement period when fluid resuscitation was routinely performed and vasoactive drugs was selected empirically. From January 2020 to December 2021 was post-improvement period when fluid resuscitation and/or use and adjustment of vasoactive drugs were guided by hemodynamic parameters. The 24 h, 48 h, 72 h FO, duration of invasive respiratory support, vasoactive-inotropic score, septic shock score, incidences of complications and all-cause mortality were compared between the two groups.Results:A total of 284 eligible cases were enrolled, including 136 cases in pre-improvement group and 148 cases in post-improvement group. Post-improvement group had significantly lower gestational age (GA), birth weight (BW) and body weight at disease onset than pre-improvement group ( P<0.05). Incidences of 48 h and 72 h FO, fluid resuscitation volume within 72 h, pulmonary hemorrhage and periventricular leukomalacia (PVL) were significantly lower in the post-improvement group ( P<0.05). No significant differences existed in 24 h FO, other complications and all-cause mortality between the two groups ( P>0.05). No significant differences existed in GA and BW for neonates with pulmonary hemorrhage and PVL between the two groups ( P>0.05). Conclusions:Quality improvement of hemodynamic monitoring can effectively improve FO and reduce the incidences of pulmonary hemorrhage and PVL.

Objective:To study the predictive value of vasoactive-inotropic score (VIS), fluid overload (FO) and lactate level for the outcome of preterm infants with refractory septic shock.Methods:Preterm infants diagnosed with refractory septic shock and required hydrocortisone treatment in our Department from January 2016 to December 2021 were analyzed retrospectively. Preterm infants were assigned into three gestational age groups (<28 weeks, 28-31 weeks, 32-36 weeks). According to the outcome of the disease, the children were further divided into good prognosis group and poor prognosis group. The relationship between the maximum VIS, FO and the mean lactic acid before hydrocortisone and the outcome of refractory septic shock was analyzed by receiver operating characteristic (ROC) curve, the cut-off point of ROC curve was calculated to obtain the predictive efficacy of the three indicators for the outcome of refractory septic shock in preterm infants.Results:A total of 50 preterm infants with refractory septic shock and received hydrocortisone treatment were enrolled, including 20 in the good prognosis group and 30 in the poor prognosis group. There were no significant differences in the maximum VIS, FO and mean lactic acid before hydrocortisone treatment between the two groups of gestational age of <32 weeks ( P> 0.05). The maximum VIS, FO and mean lactic acid of gestational age of 32-36 weeks in the poor prognosis group were higher than those in the good prognosis group, VIS: 56.1±15.7 vs. 37.1±12.9, FO (%): 108.2 (78.6,137.7) vs. 55.5 (10.3, 100.7), and mean lactic acid (mmol/L): 8.3 (4.6, 12.0) vs. 4.8 (-0.8, 10.5), all P<0.05. The area under the ROC curve of the mean lactic acid was the largest, the cut-off value was 4.1 mmol/L, and the Youden index was 1.732. Conclusions:VIS, FO and lactate level are difficult to be used for determining the outcome of refractory septic shock in preterm infants of <32 weeks. While the mean lactic acid has the best predictive performance in preterm infants of 32-36 weeks.

Delayed wound healing in diabetes is a global challenge, and the development of related drugs is a clinical problem to be solved. In this study, purpurolide C (PC), a small-molecule secondary metabolite of the endophytic fungus Penicillium purpurogenum, was found to promote diabetic wound healing. To investigate the key regulation targets of PC, in vitro RNA-seq, molecular docking calculations, TLR4-MD2 dimerization SDS-PAGE detection, and surface plasmon resonance (SPR) were performed, indicating that PC inhibited inflammatory macrophage activation by inhibiting both TLR4-MD2 dimerization and MYD88 phosphorylation. Tlr4 knockout in vivo attenuated the promotion effect of PC on wound healing. Furthermore, a delivery system consisting of macrophage liposome and GelMA-based microneedle patches combined with PC (PC@MLIP MN) was developed, which overcame the poor water solubility and weak skin permeability of PC, so that successfully punctured the skin and delivered PC to local tissues, and accurately regulated macrophage polarization in diabetic wound management. Overall, PC is an anti-inflammatory small molecule compound with a well-defined structure and dual-target regulation, and the PC@MLIP MN is a promising novel biomaterial for the management of diabetic wound.

Heart failure and stroke are the important causes of death worldwide, and both are closely related. This article reviews the prevention and reperfusion therapy of ischemic stroke in patients with heart failure.

SIRT6 belongs to the conserved NAD⁺-dependent deacetylase superfamily and mediates multiple biological and pathological processes. Targeting SIRT6 by allosteric modulators represents a novel direction for therapeutics, which can overcome the selectivity problem caused by the structural similarity of orthosteric sites among deacetylases. Here, developing a reversed allosteric strategy AlloReverse, we identified a cryptic allosteric site, Pocket Z, which was only induced by the bi-directional allosteric signal triggered upon orthosteric binding of NAD⁺. Based on Pocket Z, we discovered an SIRT6 allosteric inhibitor named JYQ-42. JYQ-42 selectively targets SIRT6 among other histone deacetylases and effectively inhibits SIRT6 deacetylation, with an IC₅₀ of 2.33 μmol/L. JYQ-42 significantly suppresses SIRT6-mediated cancer cell migration and pro-inflammatory cytokine production. JYQ-42, to our knowledge, is the most potent and selective allosteric SIRT6 inhibitor. This study provides a novel strategy for allosteric drug design and will help in the challenging development of therapeutic agents that can selectively bind SIRT6.