Objective:To explore the safety and efficacy of laparoscopic-assisted radical surgery in the treatment of metachronous multiple primary colorectal cancer (MCC).Methods:A retrospective analysis was conducted on 27 MCC patients undergoing laparoscopic-assisted radical surgery (laparoscopic group) and 36 MCC patients undergoing open radical surgery (open group) from Jan 2012 to Jan 2022 at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences.Results:The laparoscopic group was superior to the open group in terms of intraoperative blood loss [(53.7±111.5) ml vs. (132.5±154.9) ml, t=-2.241, P=0.029], time to first postoperative flatus [(2.2±0.7) days vs. (3.5±0.6) days, t=-7.752, P<0.001], time to first postoperative defecation [(2.9±0.6) days vs. (4.3±0.6) days, t=-8.841, P<0.001], and postoperative hospital stay [(7.2±2.4) days vs. (10.6±3.5) days, t=-4.518, P<0.001]. There were no significant differences between the two groups in terms of operation time, number of lymph nodes dissected, positive rate of specimen margin, resection rate of previous colorectal cancer anastomotic stoma, and incidence of postoperative complications (all P>0.05). Conclusion:Laparoscopic surgery is a safe and minimally invasive alternative to open surgery for MCC patients.

AIM: To construct a risk nomogram prediction model of macular edema(ME)based on the risk factors of ME after phacoemulsification in diabetic cataract(DC)patients.METHODS: A retrospective collection of data was conducted on 1 751 DC patients(1 751 eyes)who underwent cataract phacoemulsification surgery in the hospital from January 2022 to December 2024. Based on whether they developed ME after surgery, the patients were divided into the ME group(n=138)and the N-ME group(n=1 613). By conducting univariate and Logistic multiple regression analysis, the risk factors for postoperative ME in DC patients undergoing phacoemulsification were identified. A nomogram of risk prediction model was constructed, and the receiver operating characteristic(ROC)curve, calibration curve, Hosmer-Lemeshow goodness of fit test were plotted to evaluate the discrimination and calibration of the model. The decision curve was used to evaluate the clinical return on investment of the model.RESULTS: Age, course of diabetes, proportion of insulin treatment, proportion of retinopathy, best corrected visual acuity(BCVA), central subfield macular thickness(CSMT), macular volume, glycated hemoglobin(HbA1c), vascular endothelial growth factor(VEGF)in the ME group were higher than those in the N-ME group(all P<0.05). Multivariate Logistic regression analysis showed that diabetes course, retinopathy, BCVA, CSMT, macular volume, HbA1c and VEGF were the risk factors for ME after phacoemulsification in DC patients(all P<0.05). A nomogram of risk prediction model was constructed based on risk factors, and the ROC curve suggested good model differentiation [AUC of training set was 0.998(95% CI: 0.997-1.000), and AUC of validation set was 0.999(95% CI: 0.997-1.000)], set: R2=0.917, χ2=0.806, P=0.999; verification set: R2=0.900, χ2=0.675, P=1.000). The decision curve showed that the model had a high net return rate within the probability range of 0.00-1.00 threshold.CONCLUSION: Diabetes course, retinopathy, BCVA, CSMT, macular volume, HbA1c and VEGF are risk factors for ME after cataract phacoemulsification in DC patients. The nomogram of risk prediction model based on this construction has good differentiation and consistency in predicting the risk of ME after cataract phacoemulsification in DC patients.

Objective:To construct and validate a predictive model for pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy.Methods:This retrospective observational study included 595 patients with stage T2-4 and (or) N+M0 LARC diagnosed in the Cancer Hospital of Chinese Academy of Medical Sciences and the Fourth Hospital of Hebei Medical University who had no metastases, tolerated neoadjuvant therapy, completed neoadjuvant therapy, and had undergone radical surgery after neoadjuvant therapy. The training set comprised 299 patients admitted to the Cancer Hospital of Chinese Academy of Medical Sciences from 2013 to 2018, the internal validation set 155 patients admitted from 2019 to 2023, and the external validation set 141 patients admitted to the Fourth Hospital of Hebei Medical University from 2013 to 2021. They were divided into pCR group and non-pCR groups according to postoperative pathology. Among the 299 patients in the training set, 247 were in the non-PCR and 52 in the pCR group; among the 155 patients verified internally, 113 were in the non-PCR and 42 in the pCR group; and among the 141 patients validated externally, 132 were in the non-pCR and nine in the pCR group. Logistic regression was used for univariate and multifactorial analysis to explore the factors associated with pCR and construct a nomogram prediction model. Receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to validate the performance of the predictive model.Results:Univariate and multivariate logistic regression analysis showed that carbohydrate antigen 19-9 ( P=0.040, OR=0.97, 95%CI: 0.93-0.99), neutrophil count ( P<0.001, OR=0.66, 95%CI: 0.52-0.84), tumor T stage: Stage IV ( P=0.011, OR=0.22, 95%CI: 0.07-0.70), tumor N stage: Stage I ( P=0.003, OR=0.22,95%CI:0.08-0.60), Stage II ( P<0.001, OR=0.03, 95%CI: 0.01-0.09) and involvement of mesorectal fascia ( P=0.004, OR=0.09, 95%CI: 0.02-0.47) were independent predictors of pCR. In the training set, the area under the receiver operating characteristic curve of the model was 0.92 (95%CI: 0.87-0.96), whereas in the internal and external validation sets, the AUCs were 0.78 and 0.81, respectively. The calibration curve showed that the prediction model had good prediction efficiency in both the training and verification sets. Decision curve analysis showed that the net benefit of the model was largest when the threshold probability was in the range of 5.2% to 89.7% (in the internal and external validation sets, the threshold probabilities were in the range of 15.7% to 92.3% and 2.2% to 84.1%, respectively). Conclusion:The nomogram model constructed in this study showed efficacy in predicting whether patients with LARC will achieve pCR after receiving neoadjuvant chemoradiotherapy.

Objective:To construct and validate a predictive model for pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy.Methods:This retrospective observational study included 595 patients with stage T2-4 and (or) N+M0 LARC diagnosed in the Cancer Hospital of Chinese Academy of Medical Sciences and the Fourth Hospital of Hebei Medical University who had no metastases, tolerated neoadjuvant therapy, completed neoadjuvant therapy, and had undergone radical surgery after neoadjuvant therapy. The training set comprised 299 patients admitted to the Cancer Hospital of Chinese Academy of Medical Sciences from 2013 to 2018, the internal validation set 155 patients admitted from 2019 to 2023, and the external validation set 141 patients admitted to the Fourth Hospital of Hebei Medical University from 2013 to 2021. They were divided into pCR group and non-pCR groups according to postoperative pathology. Among the 299 patients in the training set, 247 were in the non-PCR and 52 in the pCR group; among the 155 patients verified internally, 113 were in the non-PCR and 42 in the pCR group; and among the 141 patients validated externally, 132 were in the non-pCR and nine in the pCR group. Logistic regression was used for univariate and multifactorial analysis to explore the factors associated with pCR and construct a nomogram prediction model. Receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to validate the performance of the predictive model.Results:Univariate and multivariate logistic regression analysis showed that carbohydrate antigen 19-9 ( P=0.040, OR=0.97, 95%CI: 0.93-0.99), neutrophil count ( P<0.001, OR=0.66, 95%CI: 0.52-0.84), tumor T stage: Stage IV ( P=0.011, OR=0.22, 95%CI: 0.07-0.70), tumor N stage: Stage I ( P=0.003, OR=0.22,95%CI:0.08-0.60), Stage II ( P<0.001, OR=0.03, 95%CI: 0.01-0.09) and involvement of mesorectal fascia ( P=0.004, OR=0.09, 95%CI: 0.02-0.47) were independent predictors of pCR. In the training set, the area under the receiver operating characteristic curve of the model was 0.92 (95%CI: 0.87-0.96), whereas in the internal and external validation sets, the AUCs were 0.78 and 0.81, respectively. The calibration curve showed that the prediction model had good prediction efficiency in both the training and verification sets. Decision curve analysis showed that the net benefit of the model was largest when the threshold probability was in the range of 5.2% to 89.7% (in the internal and external validation sets, the threshold probabilities were in the range of 15.7% to 92.3% and 2.2% to 84.1%, respectively). Conclusion:The nomogram model constructed in this study showed efficacy in predicting whether patients with LARC will achieve pCR after receiving neoadjuvant chemoradiotherapy.

Objective:To explore the safety and efficacy of laparoscopic-assisted radical surgery in the treatment of metachronous multiple primary colorectal cancer (MCC).Methods:A retrospective analysis was conducted on 27 MCC patients undergoing laparoscopic-assisted radical surgery (laparoscopic group) and 36 MCC patients undergoing open radical surgery (open group) from Jan 2012 to Jan 2022 at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences.Results:The laparoscopic group was superior to the open group in terms of intraoperative blood loss [(53.7±111.5) ml vs. (132.5±154.9) ml, t=-2.241, P=0.029], time to first postoperative flatus [(2.2±0.7) days vs. (3.5±0.6) days, t=-7.752, P<0.001], time to first postoperative defecation [(2.9±0.6) days vs. (4.3±0.6) days, t=-8.841, P<0.001], and postoperative hospital stay [(7.2±2.4) days vs. (10.6±3.5) days, t=-4.518, P<0.001]. There were no significant differences between the two groups in terms of operation time, number of lymph nodes dissected, positive rate of specimen margin, resection rate of previous colorectal cancer anastomotic stoma, and incidence of postoperative complications (all P>0.05). Conclusion:Laparoscopic surgery is a safe and minimally invasive alternative to open surgery for MCC patients.

Objective To discuss on the application of innovative quality control circle in optimizing pharmaceutical care,design pharmaceutical care model according to needs,and improve the quality of pharmaceutical care.Methods Using 10 steps of innovative quality control circle,the quality function development(QFD)was carried out by multidimensional quality tools,and the demand for pharmaceutical services was analyzed in the form of"House of Quality"Combined with PDCA cycle management tool,the situation of pharmaceutical services before and after improvement was analyzed and evaluated.Results After the implementation of the activities,many contents hd been improved,such as the dispensing time for outpatient pharmacy patients decreased from 16 min to 8 min,the finished product infusion configuration time in pharmacy intravenous admixture services decreased from 15 min to 7 min,the surgery pharmacy special management drug report automatically generated number increased from 2 copies to 6 copies,the daily order review time for each department of pharmacy decreased from 80 min to 20 min,the perfection rate of pharmaceutical care digital module increased from 65.23％to 80.34％,and the multidimensional quality tool adoption rate increased from 60.00％to 93.00％.In addition,a number of additional benefits and intangible results were obtained.Conclusion Adopting the management mode of QFD combined with PDCA cycle can effectively reconstruct the management mode of pharmaceutical care,and effectively promote the scientific and fine management of pharmaceutical care.

The guidelines advocate for preoperative neoadjuvant radiotherapy and chemotherapy in cases of middle and low locally advanced rectal cancer. While some patients achieved pathological complete response (pCR), which is favorable and allows for potential organ preservation, treatment sensitivity varies and not all patients reach pCR. Identifying the factors influencing pCR is important for enhancing the effectiveness of neoadjuvant therapy and improving patient outcomes. Previous research has identified various factors associated with response to neoadjuvant therapy, which can serve as predictors of pCR. This study reviews recent literature on imaging, pathological, genetic, and molecular characteristics, laboratory indices, and therapeutic factors related to tumor response, both domestically and internationally. The aim is to summarize the latest advancements in understanding the factors associated with pCR in patients with locally advanced middle and low rectal cancer undergoing neoadjuvant therapy, thereby providing a theoretical foundation for standardized clinical treatment approaches.

Objective To investigate the value of qualitative and quantitative characteristics of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI in preoperative prediction of vessels encapsulating tumor clusters(VETC)pattern in hepatocellular carcinoma(HCC).Methods A total of 234 patients diagnosed with HCC by pathology were analyzed retrospectively.A total of 101 VETC-positive HCC patients and 133 VETC-negative HCC patients were included.All patients were divided into training group and validation group according to 7︰3.The training group data were used to construct a prediction model for VETC-positive HCC.Receiver operating characteristic(ROC)curve was drawn and the area under the curve(AUC)was calculated to verify the diagnostic efficiency of the model.Calibration curve was drawn to verify the calibration of the model.Results Multivariate logistic regression analysis predicted the independent risk factors for VETC-positive HCC:portal phase peripheral washout[odds ratio(OR)6.493],necrosis or severe ischemia(OR 4.756),targetoid transitional phase or hepatobiliary phase(OR 0.307),and lesion to liver signal intensity ratio(LLR)on arterial phase(OR 0.074).The AUC of the training group in predicting VETC-positive HCC was 0.790[95%confidence interval(CI)0.720-0.859].The AUC of the validation group in predicting VETC-positive HCC was 0.779(95%CI 0.668-0.889).The calibration curve diagram showed that the calibration curve(the slope was 0.91)almost coincides with the ideal curve,indicating that the prediction model had better calibration.Conclusion The qualitative and quantitative characteristics of Gd-EOB-DTPA enhanced MRI can be used to predict VETC-positive HCC preoperatively,the independent risk factors of VETC include portal phase peripheral washout,necrosis or severe ischemia,targetoid transitional phase or hepatobiliary phase,and LLR on arterial phase.

The guidelines advocate for preoperative neoadjuvant radiotherapy and chemotherapy in cases of middle and low locally advanced rectal cancer. While some patients achieved pathological complete response (pCR), which is favorable and allows for potential organ preservation, treatment sensitivity varies and not all patients reach pCR. Identifying the factors influencing pCR is important for enhancing the effectiveness of neoadjuvant therapy and improving patient outcomes. Previous research has identified various factors associated with response to neoadjuvant therapy, which can serve as predictors of pCR. This study reviews recent literature on imaging, pathological, genetic, and molecular characteristics, laboratory indices, and therapeutic factors related to tumor response, both domestically and internationally. The aim is to summarize the latest advancements in understanding the factors associated with pCR in patients with locally advanced middle and low rectal cancer undergoing neoadjuvant therapy, thereby providing a theoretical foundation for standardized clinical treatment approaches.

Mechanical allodynia (MA), including punctate and dynamic forms, is a common and debilitating symptom suffered by millions of chronic pain patients. Some peripheral injuries result in the development of bilateral MA, while most injuries usually led to unilateral MA. To date, the control of such laterality remains poorly understood. Here, to study the role of microglia in the control of MA laterality, we used genetic strategies to deplete microglia and tested both dynamic and punctate forms of MA in mice. Surprisingly, the depletion of central microglia did not prevent the induction of bilateral dynamic and punctate MA. Moreover, in dorsal root ganglion-dorsal root-sagittal spinal cord slice preparations we recorded the low-threshold Aβ-fiber stimulation-evoked inputs and outputs of superficial dorsal horn neurons. Consistent with behavioral results, microglial depletion did not prevent the opening of bilateral gates for Aβ pathways in the superficial dorsal horn. This study challenges the role of microglia in the control of MA laterality in mice. Future studies are needed to further understand whether the role of microglia in the control of MA laterality is etiology-or species-specific.
Mice ; Animals ; Hyperalgesia/metabolism* ; Microglia/metabolism* ; Disease Models, Animal ; Spinal Cord/metabolism* ; Spinal Cord Dorsal Horn/metabolism* ; Ganglia, Spinal/metabolism*