AIM: To report three cases of viral keratitis caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).METHODS: Slit lamp, intraocular pressure, corneal fluorescence staining, anterior segment photography, in vivo confocal microscopy(IVCM), and routine fundus screening were performed in the three confirmed patients. Treatment involved Ganciclovir, artificial tears and glucocorticoid eye drops.RESULTS: Three patients with SARS-CoV-2 keratitis(SCK)recovered well after standard treatment.CONCLUSION: SARS-CoV-2 keratitis typically presents as corneal subepithelial infiltration and can result in a decrease in corneal subepithelial nerve fiber density and an increase in dendritic cells(DC). Antiviral therapy in combination with glucocorticoid has proven to be effective.

Objective:To evaluate the correlation and consistency between quantitative coronary flow fraction (QFR) and cardiac magnetic resonance imaging (CMR) in assessing myocardial ischemia in patients with coronary heart disease (CAD).Methods:A retrospective analysis was conducted on the data of coronary heart disease patients who underwent load CMR examination and coronary angiography at the Beijing Anzhen Hospital, Capital Medical University from August 2017 to March 2022. CMR examination includes cardiac cine, load/rest myocardial perfusion imaging, and delayed enhancement sequence. According to the results of CMR examination, the patient′s left ventricular myocardial segments were divided into normal segment group and abnormal segment group (further divided into ischemic segment group and infarcted segment group). On the basis of coronary angiography, an artificial intelligence based platform (AngioPlus system) was applied to calculate the preoperative coronary artery QFR value of patients undergoing percutaneous coronary intervention treatment. Kappa test was used to evaluate the consistency of QFR and CMR in diagnosing abnormal myocardium; Mann Whitney U test was used to compare the differences in QFR between groups; The receiver operating characteristic (ROC) curve was used to evaluate the efficacy of QFR in diagnosing abnormal myocardium; Spearman correlation analysis was used to clarify the relationship between myocardial infarction area and QFR value of the supplying coronary artery in patients.Results:Among the 70 CAD patients enrolled, there were 60 males and 10 females, aged (54.1±11.1)years. At the vascular level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) is moderate (Kappa value=0.514). The sensitivity and specificity of detecting abnormal myocardial segments in CAD patients were 57% and 91%, respectively. The area under the curve (AUC) value of QFR predicting abnormal myocardium in CAD patients was 0.769, and the optimal cutoff value was QFR=0.865. At this time, the sensitivity and specificity of QFR predicting myocardial injury in CAD patients were 67.2% and 84.3%, respectively. The difference in vascular QFR between the normal segment group, ischemic segment group, and infarcted segment group was statistically significant ( P<0.001), with the infarcted segment group having significantly lower QFR values than the other two groups (all P<0.01). The range of myocardial infarction was negatively correlated with the QFR value of the supplying coronary artery ( r=-0.45, P<0.001). At the patient level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) was moderate (Kappa value=0.445), with a sensitivity of 74% and a specificity of 81% for diagnosing myocardial injury in CAD patients. Conclusions:Compared with CMR, QFR has better specificity in detecting myocardial injury in CAD patients. The QFR value of the infarcted segment group is significantly lower than that of the ischemic group and the normal group. The area of myocardial infarction is negatively correlated with the QFR value of the supplying coronary artery.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

Objective To evaluate the predictive value of global longitudinal strain(GLS)measured by cardiac magnetic resonance(CMR)feature-tracking technique for left ventricular remodeling(LVR)after percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 403 patients undergoing PCI for acute STEMI were prospectively recruited from multiple centers in China.CMR examinations were performed one week(7±2 days)and 6 months after myocardial infarction to obtain GLS,global radial strain(GRS),global circumferential strain(GCS),ejection fraction(LVEF)and infarct size(IS).The primary endpoint was LVR,defined as an increase of left ventricle end-diastolic volume by≥20%or an increase of left ventricle end-systolic volume by≥15%from the baseline determined by CMR at 6 months.Logistic regression analysis was performed to evaluate the predictive value of CMR parameters for LVR.Results LVR occurred in 101 of the patients at 6 months after myocardial infarction.Compared with those without LVR(n=302),the patients in LVR group exhibited significantly higher GLS and GCS(P<0.001)and lower GRS and LVEF(P<0.001).Logistic regression analysis indicated that both GLS(OR=1.387,95%CI:1.223-1.573;P<0.001)and LVEF(OR=0.951,95%CI:0.914-0.990;P=0.015)were independent predictors of LVR.ROC curve analysis showed that at the optimal cutoff value of-10.6%,GLS had a sensitivity of 74.3%and a specificity of 71.9%for predicting LVR.The AUC of GLS was similar to that of LVEF for predicting LVR(P=0.146),but was significantly greater than those of other parameters such as GCS,GRS and IS(P<0.05);the AUC of LVEF did not differ significantly from those of the other parameters(P>0.05).Conclusion In patients receiving PCI for STEMI,GLS measured by CMR is a significant predictor of LVR occurrence with better performance than GRS,GCS,IS and LVEF.

Objective To determine the chemical constituents in BSLYT by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS),and to establish a high-performance liquid chromatographic fingerprint of the material basis of BSLYT and the content determination of its six main constituents,mononoside,loganin,oroxin A,oroxin B,baicalein and astilbin,providing a reference for the quality control.Methods The mass spectrometry data were used to establish the fingerprints.The content of the main components in the BSLYT samples was calculated by using the external method,and the discrepency between different batches of samples were analyzed by combining with chemometric methods.Results A total of 69 compounds were identified by mass spectrometry,and 13 compounds were identified after comparison with high-performance liquid chromatography(HPLC).The similarity of the baseline characterization profiles of the 15 batches of BSLYT substances was above 0.90,and a total of 27 common peaks were identified.Cluster analysis(CA)classified the substance benchmarks into 2 classes,S1,S2,S5,S8,S9,S13,and S15 were clustered into one class,and S3,S4,S6,S7,S10-S12,and S16 were clustered into one class.By combining PCA and OPLS-DA,the chemical components affecting the baseline classification of the substances were screened and attributed to wood butterfly,cornelian cherry and cocos nigra,respectively.The contents of six components were determined by MICS,which ranged from 0.31%-0.51%,0.12%-0.22%,0.09%-0.19%,0.09%-0.24%,0.07%-0.18%,and 0.08%-0.29%for mononoside,loganin,oroxin A,oroxin B,baicalein and astilbin respectively.Conclusion The fingerprint and multi-indicator content determination method established in this paper are accurate and stable,which provide a basis for the quality control of the material benchmark of Kidney and Pharynx Formula and its related preparations.

Objective To evaluate the predictive value of global longitudinal strain(GLS)measured by cardiac magnetic resonance(CMR)feature-tracking technique for left ventricular remodeling(LVR)after percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 403 patients undergoing PCI for acute STEMI were prospectively recruited from multiple centers in China.CMR examinations were performed one week(7±2 days)and 6 months after myocardial infarction to obtain GLS,global radial strain(GRS),global circumferential strain(GCS),ejection fraction(LVEF)and infarct size(IS).The primary endpoint was LVR,defined as an increase of left ventricle end-diastolic volume by≥20%or an increase of left ventricle end-systolic volume by≥15%from the baseline determined by CMR at 6 months.Logistic regression analysis was performed to evaluate the predictive value of CMR parameters for LVR.Results LVR occurred in 101 of the patients at 6 months after myocardial infarction.Compared with those without LVR(n=302),the patients in LVR group exhibited significantly higher GLS and GCS(P<0.001)and lower GRS and LVEF(P<0.001).Logistic regression analysis indicated that both GLS(OR=1.387,95%CI:1.223-1.573;P<0.001)and LVEF(OR=0.951,95%CI:0.914-0.990;P=0.015)were independent predictors of LVR.ROC curve analysis showed that at the optimal cutoff value of-10.6%,GLS had a sensitivity of 74.3%and a specificity of 71.9%for predicting LVR.The AUC of GLS was similar to that of LVEF for predicting LVR(P=0.146),but was significantly greater than those of other parameters such as GCS,GRS and IS(P<0.05);the AUC of LVEF did not differ significantly from those of the other parameters(P>0.05).Conclusion In patients receiving PCI for STEMI,GLS measured by CMR is a significant predictor of LVR occurrence with better performance than GRS,GCS,IS and LVEF.

Objective:To explore the incidence of low anterior resection syndrome (LARS) in patients undergoing sphincter-preserving surgery for rectal cancer and analyze related factors.Methods:This study was a cross-sectional survey. From 2021 to 2023, convenience sampling was used to select 195 patients with rectal cancer who underwent sphincter-preserving surgery at Peking University Third Hospital as participants. The patients were surveyed using the General Information Questionnaire, LARS Scale, Visual Analog Score, and Chinese version of Insomnia Severity Index.Results:A total of 195 questionnaires were distributed, and 156 valid questionnaires were collected, with a valid response rate of 80.00% (156/195). The incidence of LARS in 156 rectal cancer patients with sphincter-preserving surgery was 36.54% (57/156), and the incidence of severe LARS was 15.38% (24/156). Binomial Logistic regression analyses showed that gender ( OR=0.445, P=0.034) and preoperative neoadjuvant chemoradiotherapy ( OR=6.343, P<0.01) were influencing factors for the occurrence of LARS in patients with rectal cancer after sphincter-preserving surgery. Preoperative neoadjuvant chemoradiotherapy ( OR=3.322, P=0.047) and intraoperative prophylactic stoma ( OR=4.855, P=0.035) were influencing factors for severe LARS. LARS score was positively correlated with anxiety score ( r=0.238, P=0.003) and total insomnia score ( r=0.168, P=0.036) in patients with rectal cancer who underwent sphincter-preserving surgery. Conclusions:Preoperative neoadjuvant chemoradiotherapy is an independent risk factor for postoperative LARS and severe LARS in rectal cancer patients undergoing sphincter-preserving surgery. LARS is correlated with patients' anxiety and insomnia.

Objective To describe the clinical characteristics of acute dichlorvos poisoning and analyzed the risk factors affecting patient prognosis,in order to provide important treatment guidance and theoretical reference for reducing the mortality of patients with acute dichlorvos poisoning.Methods A retrospective study method was conduct to collect the clinical data of patients admitted to the department of emergency of Fuyang People's Hospital from November 2019 to November 2023 and analyze the clinical poisoning characteristics.The patients were divided into death group and survival group according to the prognosis to compare the differences in the clinical characteristics of patients with different outcomes.This study conducted binary multifactor Logistic regression analysis of statistically significant indicators to select the independent risk factors affecting the prognosis of patients,and drew the receiver operator characteristic(ROC)curve to predict value of the risk factors on the prognosis.Results In 82 patients,22(26.83%)died,39(47.56%)developed capillary leak syndrome(CLS),31(37.80%)had acute respiratory failure,and 35(42.68%)had shock.Compared with the survival group,patients in the death group were older(years:57.73±17.67 vs.44.25±13.74),the proportion of gastric lavage,cholinesterase activity,Glasgow coma scale(GCS),albumin,pH value were all significantly decreased[proportion of gastric lavage:81.82%(18/22)vs.100.00%(60/60),cholinesterase activity(U/L):235.96(200.00,401.67)vs.450.00(240.26,739.25),GCS scores:4.00(3.00,6.00)vs.12.00(4.00,15.00),albumin(g/L):39.35±12.02 vs.45.21±4.51,pH value:7.14(7.04,7.26)vs.7.38(7.28,7.40)],dichlorvos concentration,dipterex concentration,sequential organ failure assessment(SOFA),acute physiology and chronic health evaluationⅡ(APACHEⅡ),alanine transaminase(ALT),blood urea nitrogen(BUN),serum creatinine(SCr),MB isoenzyme of creatine kinase(CK-MB),blood lactate acid(Lac),and concurrent acute respiratory failure,shock,CLS ratio were significantly increased[dichlorvos concentration(μg/L):271.00(49.25,908.25)vs.64.00(16.75,211.00),dipterex concentration(μg/L):1 337.50(397.25,3 614.00)vs.494.00(71.00,1 679.80),SOFA score:12.50(9.00,15.50)vs.2.00(0.00,6.75),APACHEⅡscore:28.50(23.00,32.50)vs.6.50(2.25,19.00),ALT(U/L):40.40(17.28,66.33)vs.19.65(13.70,34.68),BUN(mmol/L):6.30±2.78 vs.5.05±1.48,SCr(μmol/L):87.59±39.67 vs.58.87±14.85,CK-MB(U/L):164.80(86.13,284.85)vs.116.05(81.65,160.60),Lac(mmol/L):3.00(1.68,9.15)vs.1.20(1.00,2.40),the proportion of concurrent acute respiratory failure:95.45%(21/22)vs.33.33%(20/60),proportion of concurrent shock:100.00%(22/22)vs.21.67%(13/60),proportion of concurrent CLS:95.45%(21/22)vs.30.00%(18/60)],the differences were statistically significant(all P<0.05).The binary multivariate Logistic regression analysis showed that age,SOFA score,and CLS were independent risk factors affecting the prognosis of dichlorvos poisoning[age:odds ratio(OR)=1.090,95%credibility interval(95%CI)was 1.019-1.167;SOFA score:OR=1.454,95%CI was 1.159-1.825;CLS:OR=122.473,95%CI was 7.954-1 885.787,all P<0.05].The ROC curve analysis shows that the age,SOFA score and CLS had a certain predictive value for the prognosis of patients with acute dichlorvos poisoning[area under the curve(AUC)were 0.752,0.864,0.827,95%CI were 0.622-0.881,0.767-0.960,0.735-0.919,the Youden index were 0.453,0.681,0.655,sensitivity were 63.6%,86.4%,95.5%,specific features were 81.7%,81.6%,70.0%,all P<0.05].Conclusions Age,SOFA score,and CLS are independent risk factors affecting the prognosis of patients with acute dichlorvos poisoning.In particular,CLS is the most important risk factor affecting the prognosis of patients.When managing acute dichlorvos poisoning,it is crucial to closely monitor the occurrence of CLS and administer prompt,proactive treatment.

Objective:To investigate the value of radiomics features derived from cardiac MR (CMR) cine images for predicting late gadolinium enhancement (LGE) in patients with hypertrophic cardiomyopathy (HCM).Methods:Firstly, a total of 300 HCM patients with definite diagnosis who underwent CMR examination in Beijing Anzhen Hospital from May 2017 to August 2021 were retrospectively included, and were divided into a training set and a test set with a proportion of 7∶3 using random stratified sampling method. Then, a total of 89 HCM patients with definite diagnosis who underwent CMR examination in Beijing Anzhen Hospital from January 2022 to May 2023 were included for external validation. The CVI42 software was used to obtain the cardiac function parameters. Intraclass correlation coefficient (ICC), Pearson correlation coefficient and least absolute shrinkage and selection operator (LASSO) were used to select radiomics features. Finally, LASSO regression and three machine learning algorithms (including support vector machine, linear discriminant analysis and naive Bayes) were used to build prediction models. The area under the receiver operating characteristic curve (AUC) was used to evaluate the prediction value of the model.Results:Totally 1 409 features were extracted from each patient, and 19 features were retained to build radiomics signature after dimension reduction. Although no significant differences among the four methods, the prediction performance and stability of LASSO regression were relatively good. The AUC was 0.795 (95%CI 0.735-0.855) in the training set, 0.765 (95%CI 0.668-0.862) in the test set and 0.721(95%CI 0.598-0.845) in the external validation set.Conclusions:The features extracted from CMR cine images can be used to predict LGE in HCM patients. LASSO regression is recommended for model construction.

Objective:To explore the values of albumin-bilirubin (ALBI) score, carcinoembryonic antigen (CEA) and combination of the two in the prognostic assessment of colorectal cancer patients with postoperative liver metastasis.Methods:The clinicopathological data of 98 colorectal cancer patients with postoperative liver metastasis who were admitted to Lianyungang Oriental Hospital and receiving adjuvant chemotherapy from January 2016 to March 2020 were retrospective analyzed. The data of serum protein, bilirubin, and CEA before chemotherapy were obtained, the relationship between serum protein and bilirubin was analyzed, and the ALBI score was calculated. The ALBI-CEA score was judged according to the ALBI score and the CEA level. ALBI score > -2.60 points was categorized as high ALBI group, and ALBI score ≤ -2.60 points was categorized as low ALBI group; CEA >5 ng/ml was categorized as high CEA group, and CEA ≤5 ng/ml was categorized as low CEA group; patients were categorized into 0, 1, and 2 points groups based on ALBI-CEA score. Overall survival (OS) and progression-free survival (PFS) of ALBI score, CEA and ALBI-CEA score subgroups were analyzed by Kaplan-Meier method; with the actual survival and progress status of the patients as the gold standard, receiver operating characteristic (ROC) curve was used to analyze the effect of 3 indicators to assess patients' OS and PFS, and area under the curve (AUC) was compared; Cox proportional hazards model was used to analyze the influencing factors of OS and PFS.Results:The median albumin and bilirubin levels of the 98 patients were 34.4 g/L (26.8-42.8 g/L) and 16.6 μmol/L (7.6-44.6 μmol/L), and the result of Pearson correlation analysis showed a negative correlation between the levels of albumin and bilirubin ( r = -0.282, P < 0.001). The 3-year OS and PFS rates in the high ALBI group were lower than those in the low ALBI group (OS rate: 9.2% vs. 33.3%, PFS rate: 7.7% vs. 18.2%), and the differences in OS and PFS between the two groups were statistically significant ( χ2 values were 27.64, 23.30, both P < 0.001). The 3-year OS and PFS rates in the high CEA group were lower than those in the low CEA group (OS rate: 7.1% vs. 42.9%, PFS rate: 7.1% vs. 21.4%), and the differences in OS and PFS between the two groups were statistically significant ( χ2 values were 23.71, 17.14, both P < 0.001). The 3-year OS rates in the ALBI-CEA score 0, 1 and 2 points groups were 77.8%, 20.9% and 2.2%, and the 3-year PFS rates were 44.4%, 9.3% and 6.5%, and there were statistical differences in OS and PFS among the three groups ( χ2 values were 102.36, 76.55, both P < 0.001). The ROC curve analysis showed that the AUC of ALBI score, CEA and ALBI-CEA score for assessing OS were 0.688 (95% CI 0.544-0.832), 0.754 (95% CI 0.618-0.890) and 0.828 (95% CI 0.723-0.933) (all P < 0.05), and the AUC for assessing PFS were 0.618 (95% CI 0.436-0.799), 0.646 (95% CI 0.464-0.829) and 0.682 (95% CI 0.494-0.870) (all P > 0.05). Multivariate Cox regression analysis showed that ALBI-CEA score was an independent influencing factor for OS (2 points vs. 0 point: HR = 17.254, 95% CI 8.385-35.504, P < 0.001) and PFS (2 points vs. 0 point: HR = 6.144, 95% CI 3.725-10.134, P < 0.001) of patients. Conclusions:The colorectal cancer patients with liver metastasis and high ALBI-CEA score are at high risk of death and disease progression and have a poor prognosis, and they are recommended to receive intensive treatment.