Objective To analyze the rates of drug resistance of carbapenem-resistant Klebsiella pneumoniae (CRKP) and extended-spectrum β-lactamase-producing Escherichia coli (ESBL-E.coli) in bronchoalveolar lavage fluid (BALF) of critically ill patients with severe pneumonia and artificial airway and risk factors of CRKP. Methods Patients with severe pneumonia and artificial airway treated in the Center of Emergency and Intensive Care Unit, Jinshan Hospital, Fudan University from May 2022 to May 2025 were selected. Klebsiella pneumoniae (K. pneumoniae) and Escherichia coli (E.coli) isolated and cultured from BALF of these patients were analyzed. The drug resistance rates of the two bacteria were compared. The multivariate logistic regression was used to analyze related risk factors for CRKP infection. Results A total of 384 patients were included, and 384 strains were cultured, including 330 strains (85.9%) of K. pneumoniae and 54 strains (14.1%) of E.coli. The infection rate of K. pneumoniae was higher. Compared with E.coli, the drug-resistant gene expression rate of K. pneumoniae was lower (37.3% vs 57.4%, P＜0.01). The resistance rates of CRKP to cefotaxime, cefepime, aztreonam, and imipenem were higher than those of ESBL-E.coli (P＜0.003). Both CRKP and ESBL-E.coli had high sensitivity to polymyxin and tigecycline. Multivariate logistic regression showed duration of mechanical ventilation ≥ 7 days, and combination of ≥ 2 antibiotics for over 7 days were independent risk factors for CRKP infection (P＜0.01). Conclusions For patients with severe pneumonia and artificial airway in ICU, K. pneumoniae is the main bacterial infection. CRKP and ESBL-E.coli in BALF exhibit different degrees of drug resistance to various antibacterial agents, both have the characteristic of multidrug resistance, and are sensitive to polymyxin and tigecycline. Prevention and control of risk factors related to CRKP should be formulated particularly.

Objective:To evaluate the clinical efficacy of a replay propeller distal perforator flap of the lateral circumflex femoral artery in reconstruction of the donor site defect left by the harvest of a free anterolateral thigh perforator flap (ALTPF).Methods:From June 2023 to June 2024, retrospective analysis of 11 patients with foot and ankle soft tissue defects were treated in the Department of Microsurgery, Sichuan Modern Hospital. The patients were 7 males and 4 females, aged 9-57 (average 28.6) years. Causes of injury were car accident (5 patients), machine crush (5 patients) and skin necrosis following a fall (1 patient). The size of soft tissue defects was 8.0 cm ×11.0 cm - 9.0 cm×14.5 cm. A reversed perforator island flap of distal descending branch of the lateral circumflex femoral artery was prepared to reconstruct the defect left at the donor site after the harvest of a free ALTPF. The ALTPFs were 8.5 cm × 11.5 cm to 9.5 cm × 15.5 cm in size, and the sizes of the perforator flap of descending branch of lateral circumflex femoral artery designed to reconstruct the donor site defects were at 5.0 cm × 9.0 cm to 6.0 cm × 12.0 cm. After the surgery, scheduled follow-ups were carried out at outpatient clinic and via telephone and WeChat reviews. Wound healing at recipient and donor sites, flap survival and functional recovery were observed.Results:All flaps survived smoothly after surgery, and the wounds in the donor and recipient sites healed primarily. No vascular compromise, wound dehiscence or significant swelling occurred. A total of 9 patients completed the 6-18 months postoperative follow-up, with an average of 11 months. Two patients lost in the follow-up. Only linear scars left in the donor sites, without significant impact on the thigh function. The colour and appearance of the flaps were natural.Conclusion:It is effective to use a distal replay flap of the descending branch of lateral circumflex femoral artery for reconstruction of the donor site defect left by the harvest of a free ALTPF.

Preeclampsia(PE)is a severe hypertensive disorder during pregnancy that seriously affects the health of pregnant women and fetuses.Currently,the treatment is merely symptomatic,with unsatisfactory efficacy and often resulting in an increased incidence of therapeutic preterm birth.An increasing number of studies on PE suggest that the"unitary"theory is no longer adequate to elucidate its pathogenesis.PE is regarded as a syndrome influenced by multiple factors,featuring a complex pathogenesis and the potential to affect multiple organs and systems.This review summarizes the latest advancements in the classification,etiology,pathogenesis,and research models(including animal and in vitro models)of PE,aiming to provide references for subsequent research and offer assistance in clinical prevention,screening,and treatment.

Objective To investigate the differences of brain imaging changes in patients with mesial temporal lobe epilepsy(mTLE)based on individual structural covariance networks of gray matter volume.Methods A total of 74 mTLE patients,including 39 patients in the left mTLE group and 35 patients in the right mTLE group,along with 46 healthy controls(control group),had completed 3D T1WI structural imaging scans.The network template perturbation approach was used to analyze the individualized structural covariance networks in patients with mTLE.Results Compared with the control group,the left and right mTLE groups showed decreased structural covariance connections for the ipsilateral hippocampus to the contralateral hippocampus and parahippocampal gyrus,orbitofrontal gyrus,middle frontal gyrus,superior parietal gyrus,amygdala and fusiform gyrus.In addition,increased structural covariation connections was mainly distributed in the bilateral frontal lobe,parietal lobe,temporal lobe,occipital lobe and paralimbic system in the right mTLE group,whereas increased structural covariation connections was mainly located within the left frontal lobe,parietal lobe and occipital lobe in the left mTLE group(P＜0.05).Compared with the left mTLE group,the right mTLE group showed decreased structural covariance connections with the ipsilateral hippocampus as a core node(P＜0.05).Conclusion Compared with the left mTLE group,the right mTLE group showed more pronounced decreased structural covariance connections centered around the ipsilateral hippocampus,as well as a more intricate compensatory mechanism.The pattern of the individual structural covariance networks in mTLE patients not only contribute to understanding of its pathogenesis but also served as a potential biomarker for clinical diagnosis.

T-cell inhibitory receptors(IR)are involved in the composing of co-inhibitory signaling pathways between T cells and immune cells,and transmit immunosuppressive signals to limit immune effects of T cells such as activation and proliferation.Ab-normal co-inhibitory signals may destroy the peripheral immune tolerance of the body,leading to hyperresponsiveness of various organ-specific autoimmunity.Rheumatoid arthritis(RA)is a complex systemic disease in which there is an immune disorder centered on T cells.In this process,the abnormal expression and distribution of T-cell IR are fully involved in the imbalance of T-cell subsets and pathological immune responses,affecting the development and progression of the disease.Targeting T-cell IR and its ligands and thus strengthening the co-inhibitory signaling pathway mediated by them has been studied for suppressing immune responses and maintain-ing immune tolerance,but their potential for clinical application in RA remains to be explored.In the present,we review the advances of T-cell IR involved in the immunopathology of RA,and discusses the therapeutic prospects of targeting these receptors.

Objective:Analyze the risk factors for acute lung injury of postoperative acute lung injury(ALI)in patients with Stanford type A aortic dissection(STAAD),and construct a nomogram predictive model.Methods:A retrospective cohort study design was adopted.A total of 112 patients with STAAD who underwent surgical treatment in our hopital from January 2021 to August 2024 were included.They were divided into two groups according to the occurrence of ALI after the surgical:non-ALI group(73 cases)and ALI group(39 cases).Clinical data were collected from both groups of patients.The influencing factors of postoperative ALI in patients with STAAD were analyzed by multivariate logistic regression.Established nomogram prediction model based on influencing factors and validated.Results:Among 112 patients with STAAD who underwent surgical treatment,39 case postoperative ALI occurred,with an incidence rate of 34.82％.Age,preoperative creatinine,body mass index(BMI),preoperative white blood cell count,preoperative lactate and other aspects compared,The difference were statistically significant(P＜0.05).The length of stay in the intensive care unit(ICU)of the ALI group was longer than that of the non ALI group(P＜0.05).The intraoperative red blood cell transfusion volume and extracorporeal circulation time in the ALI group were higher than those in the non ALI group(P＜0.05).Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count were risk factors for postoperative ALI(P＜0.05).The receiver operating characteristic(ROC)curve analysis results show that,the Area under the curve(AUC)of the nomogram prediction model was 0.871.When the optimal critical value was 0.472,its sensitivity and specificity wew 0.887 and 0.776,respectively.The internal validation results of Bootstrap show that,the C-index of the column chart prediction model was 0.862,with an absolute error of 0.032.The calibration curve is close to the ideal curve and the original curve,with a slope close to 1.Conclusions:Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count are independent risk factors for postoperative ALI in patients with STAAD.The nomogram model constructed based on the above risk factors can effectively evaluate the risk of postoperative ALI in patients with STAAD.

Objective:Analyze the risk factors for acute lung injury of postoperative acute lung injury(ALI)in patients with Stanford type A aortic dissection(STAAD),and construct a nomogram predictive model.Methods:A retrospective cohort study design was adopted.A total of 112 patients with STAAD who underwent surgical treatment in our hopital from January 2021 to August 2024 were included.They were divided into two groups according to the occurrence of ALI after the surgical:non-ALI group(73 cases)and ALI group(39 cases).Clinical data were collected from both groups of patients.The influencing factors of postoperative ALI in patients with STAAD were analyzed by multivariate logistic regression.Established nomogram prediction model based on influencing factors and validated.Results:Among 112 patients with STAAD who underwent surgical treatment,39 case postoperative ALI occurred,with an incidence rate of 34.82％.Age,preoperative creatinine,body mass index(BMI),preoperative white blood cell count,preoperative lactate and other aspects compared,The difference were statistically significant(P＜0.05).The length of stay in the intensive care unit(ICU)of the ALI group was longer than that of the non ALI group(P＜0.05).The intraoperative red blood cell transfusion volume and extracorporeal circulation time in the ALI group were higher than those in the non ALI group(P＜0.05).Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count were risk factors for postoperative ALI(P＜0.05).The receiver operating characteristic(ROC)curve analysis results show that,the Area under the curve(AUC)of the nomogram prediction model was 0.871.When the optimal critical value was 0.472,its sensitivity and specificity wew 0.887 and 0.776,respectively.The internal validation results of Bootstrap show that,the C-index of the column chart prediction model was 0.862,with an absolute error of 0.032.The calibration curve is close to the ideal curve and the original curve,with a slope close to 1.Conclusions:Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count are independent risk factors for postoperative ALI in patients with STAAD.The nomogram model constructed based on the above risk factors can effectively evaluate the risk of postoperative ALI in patients with STAAD.

Objective To investigate the differences of brain imaging changes in patients with mesial temporal lobe epilepsy(mTLE)based on individual structural covariance networks of gray matter volume.Methods A total of 74 mTLE patients,including 39 patients in the left mTLE group and 35 patients in the right mTLE group,along with 46 healthy controls(control group),had completed 3D T1WI structural imaging scans.The network template perturbation approach was used to analyze the individualized structural covariance networks in patients with mTLE.Results Compared with the control group,the left and right mTLE groups showed decreased structural covariance connections for the ipsilateral hippocampus to the contralateral hippocampus and parahippocampal gyrus,orbitofrontal gyrus,middle frontal gyrus,superior parietal gyrus,amygdala and fusiform gyrus.In addition,increased structural covariation connections was mainly distributed in the bilateral frontal lobe,parietal lobe,temporal lobe,occipital lobe and paralimbic system in the right mTLE group,whereas increased structural covariation connections was mainly located within the left frontal lobe,parietal lobe and occipital lobe in the left mTLE group(P＜0.05).Compared with the left mTLE group,the right mTLE group showed decreased structural covariance connections with the ipsilateral hippocampus as a core node(P＜0.05).Conclusion Compared with the left mTLE group,the right mTLE group showed more pronounced decreased structural covariance connections centered around the ipsilateral hippocampus,as well as a more intricate compensatory mechanism.The pattern of the individual structural covariance networks in mTLE patients not only contribute to understanding of its pathogenesis but also served as a potential biomarker for clinical diagnosis.