To clarify the current situation of ketosis in dairy cattle on large-scale pastures in China and provide new insights,a questionnaire survey was conducted to analyze the incidence,preven-tion,treatment methods,and associated costs of ketosis in 79 large-scale pastures.The results showed that the average incidence of ketosis in dairy cows was 3.97％,with a cure rate of 92.40％.The order of importance of methods for preventing and controlling ketosis was as follows:feed for-mulation optimization＞blood ketone monitoring＞negative energy balance monitoring＞feed in-take monitoring＞milk yield monitoring.The most important treatment methods are intravenous glucose＞propylene glycol butyl phosphate＞vitamins＞choline.The most important diagnostic methods are blood ketone testing＞milk ketone testing＞negative energy balance testing＞clinical symptoms＞blood glucose testing.Economic analysis revealed that treatment costs were lower on larger farms and higher milk yields farms.Continuous optimization of feeding management,preven-tion,and control measures should be implemented on large-scale farms in China to reduce the oc-currence of ketosis in dairy cows.Additionally,more effective diagnostic and treatment methods should be employed to improve the cure rate and overall farm income.

The v-Raf murine sarcoma viral oncogene homolog B (BRAF) gene is one of the most critical proto-oncogenes and functions as a key regulator in the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) signaling pathway. The incidence of BRAF mutations in non-small cell lung cancer (NSCLC) patients ranges from 1.5% to 5.5%, with BRAF V600 mutations accounting for approximately 30%-50% of all BRAF mutations, among which BRAF V600E represents the most prevalent mutation type. Currently, the combination of Dabrafenib and Trametinib has been recommended as first-line therapy for BRAF V600-mutant NSCLC by multiple domestic and international guidelines including National Comprehensive Cancer Network (NCCN), European Society of Medical Oncology (ESMO), and Chinese Society of Clinical Oncology (CSCO). However, there are no clear targeted treatment recommendations for BRAF non-V600 mutations. Although case reports suggest that Dabrafenib combined with Trametinib may be effective for patients with BRAF non-V600 mutations, the efficacy and safety require further validation due to limited sample size and lack of large-scale clinical trial data. This article reports a case of NSCLC with a rare BRAF insertion and deletion mutation that responded well to the treatment of Dabrafenib in combination with Trametinib, aiming to enhance clinicians' understanding of such NSCLC cases with extremely rare mutation and provide a reference for future treatment strategies.
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Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Imidazoles/administration & dosage* ; Lung Neoplasms/pathology* ; Mutation ; Neoplasm Metastasis ; Oximes/administration & dosage* ; Proto-Oncogene Mas ; Proto-Oncogene Proteins B-raf/genetics* ; Pyridones/administration & dosage* ; Pyrimidinones/administration & dosage*

The purpose of this survey was to understand the occurrence of hypocalcemia in dairy cows in large-scale pasture and its relationship with production performance,disease and culling.Eighty-one large-scale pastures were selected in China to carry out a questionnaire survey on the lactation performance,reproductive performance,disease status and culling situations of dairy cows,and analyzed the production data of dairy farms by SPSS software.The survey results show that the incidence of hypocalcemia in dairy cows in pasture was different,the subclinical type was nearly twice as high as the clinical type,and the incidence rate of hypocalcemia was higher in about 30％of pasture.Hypocalcemia has no obvious effect on the lactation performance of dairy cows on dairy farms.However,a high incidence rate can reduce the conception rate,increase the incidence of subclinical mastitis,ketosis,and other common internal diseases,and raise the annual culling rate and culling rate of adult cows.Clinical,subclinical and total incidence of hypocalcemia have differ-ent effects on reproduction and diseases such as mastitis and ketosis,but clinical hypocalcemia is more harmful.Hypocalcemia is still an important metabolic disease that harms the health and pro-duction of dairy cows in large-scale pastures in China.For farms with a high incidence rate,it is recommended to conduct regular monitoring of blood calcium levels in dairy cows before and after calving,and to conduct in-depth investigations into the related pathogenic factors.This will provide a scientific basis for improving the prevention measures for hypocalcemia,reducing the incidence of the disease,increasing reproductive efficiency,and reducing culling rates.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

To clarify the current situation of ketosis in dairy cattle on large-scale pastures in China and provide new insights,a questionnaire survey was conducted to analyze the incidence,preven-tion,treatment methods,and associated costs of ketosis in 79 large-scale pastures.The results showed that the average incidence of ketosis in dairy cows was 3.97％,with a cure rate of 92.40％.The order of importance of methods for preventing and controlling ketosis was as follows:feed for-mulation optimization＞blood ketone monitoring＞negative energy balance monitoring＞feed in-take monitoring＞milk yield monitoring.The most important treatment methods are intravenous glucose＞propylene glycol butyl phosphate＞vitamins＞choline.The most important diagnostic methods are blood ketone testing＞milk ketone testing＞negative energy balance testing＞clinical symptoms＞blood glucose testing.Economic analysis revealed that treatment costs were lower on larger farms and higher milk yields farms.Continuous optimization of feeding management,preven-tion,and control measures should be implemented on large-scale farms in China to reduce the oc-currence of ketosis in dairy cows.Additionally,more effective diagnostic and treatment methods should be employed to improve the cure rate and overall farm income.

The purpose of this survey was to understand the occurrence of hypocalcemia in dairy cows in large-scale pasture and its relationship with production performance,disease and culling.Eighty-one large-scale pastures were selected in China to carry out a questionnaire survey on the lactation performance,reproductive performance,disease status and culling situations of dairy cows,and analyzed the production data of dairy farms by SPSS software.The survey results show that the incidence of hypocalcemia in dairy cows in pasture was different,the subclinical type was nearly twice as high as the clinical type,and the incidence rate of hypocalcemia was higher in about 30％of pasture.Hypocalcemia has no obvious effect on the lactation performance of dairy cows on dairy farms.However,a high incidence rate can reduce the conception rate,increase the incidence of subclinical mastitis,ketosis,and other common internal diseases,and raise the annual culling rate and culling rate of adult cows.Clinical,subclinical and total incidence of hypocalcemia have differ-ent effects on reproduction and diseases such as mastitis and ketosis,but clinical hypocalcemia is more harmful.Hypocalcemia is still an important metabolic disease that harms the health and pro-duction of dairy cows in large-scale pastures in China.For farms with a high incidence rate,it is recommended to conduct regular monitoring of blood calcium levels in dairy cows before and after calving,and to conduct in-depth investigations into the related pathogenic factors.This will provide a scientific basis for improving the prevention measures for hypocalcemia,reducing the incidence of the disease,increasing reproductive efficiency,and reducing culling rates.

Objective To investigate the correlation between lipoprotein(a)[Lp(a)]combined with maximum carotid intima-media thickness(CIMT)and coronary heart disease with blood stasis syndrome,and to assess its predictive value.Methods A total of 207 patients with coronary heart disease who were hospitalized in the Cardiovascular Department of Guangdong Provincial Hospital of Chinese Medicine(Dade Road Hospital)from January 2023 to January 2024 were selected.According to the Diagnostic Criteria for Blood Stasis Syndrome of Coronary Heart Disease,the patients were divided into the blood stasis syndrome group(110 cases)and the non-blood stasis syndrome group(97 cases).Before coronary angiography,the clinical data such as Lp(a),CIMT and glycosylated hemoglobin(HbA1c)of the patients were collected.Multivariate Logistic regression analysis was conducted to explore the independent risk factors of blood stasis syndrome in the patients with coronary heart disease,and the receiver operating characteristic(ROC)curve was drawn for the analysis of the predictive efficacy of the indicators,independently and jointly.Results(1)The results of univariate analysis showed that the percentages of the patients having drinking history,hypertension history,and diabetes in the blood stasis syndrome group and the levels of HbA1c,Lp(a),and maximum CIMT were higher when compared with those in the non-blood stasis syndrome group(P＜0.05 or P＜0.01).(2)The results of multivariate Logistic regression analysis showed that Lp(a)[OR=1.004,95%CI(1.002-1.005)],increased level of maximum CIMT[OR=10.999,95%CI(1.897-63.784)],and history of hypertension[OR=2.354,95%CI(1.141-4.856)]were independent risk factors for blood stasis syndrome in the patients with coronary heart disease(P＜0.05 or P＜0.01).(3)The results of ROC curve analysis showed that the area under the curve(AUC)of ROC for the prediction of blood stasis syndrome in the patients with coronary heart disease by Lp(a),maximum CIMT,Lp(a)combined with maximum CIMT model,Lp(a)+maximum CIMT combined with hypertension model were 0.749,0.650,0.773,and 0.787,respectively(P＜0.001),and the sensitivity of the two combined diagnostic models was 0.655 and 0.736,and their specificity was 0.804 and 0.742,respectively.Conclusion The combined detection of Lp(a)and maximum CIMT can enhance the predictive efficacy of blood stasis syndrome in the patients with coronary heart disease,and will provide evidence for the clinical identification of blood stasis syndrome in the patients with coronary heart disease.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.