Objective To explore the correlation between colorectal cancer tissue Janus kinase 2(JAK2)gene mutations and T cytokine 3(TCF3)protein expression with clinical pathological characteristics and prognosis,and to provide laboratory reference indicators for early evaluation of the illness severity and prognosis of colorectal cancer.Methods A retrospective analysis was conducted on the data of 50 colorectal cancer patients who were admitted from January 2016 to April 2021 and retained colon cancer and adjacent tissue wax blocks.Basic information,clinical and pathological features such as TNM staging,lymph node metastasis,and 3-year survival prognosis of the patients were collected.The wax blocks of colon cancer and adjacent tissues of patients were detected,in which Taqman fluorescence probe method was applied to detect the distribution of JAK2 gene at the rs2230724 locus AA,AG,and GG genotypes in colon cancer tissues,and immunohistochemistry method was applied to detect the positive expression rate of TCF3 protein in colon cancer and adjacent tissues.The basic information,JAK2 rs2230724 gene mutation,and TCF3 protein expression of patients with different clinical and pathological characteristics were compared,and the influencing factors of clinical and pathological characteristics of colon cancer was analyzed by logistic regression model.Kaplan Meier survival curve was applied to compare the survival prognosis of patients with JAK2 gene mutations and TCF3 protein expression in colorectal cancer tissue,and Cox regression model was applied to analyze the risk factors affecting the prognosis of colorectal cancer patients.Results The positive expression rate of TCF3 protein in colon cancer tissues was higher than that in adjacent tissues(P＜0.05).The age,BMI,proportion of GG genotype at rs2230724 locus of JAK2 gene and positive expression rate of TCF3 protein in TNM stage Ⅲ colon cancer patients were higher than those in TNM stage Ⅰ-Ⅱ patients(P＜0.05);The age,BMI,smoking rate,proportion of GG type at the rs2230724 locus of JAK2 gene in colon cancer tissue,and positive expression rate of TCF3 protein in patients with lymph node metastasis were higher than those without lymph node metastasis(P＜0.05);The results of the logistic regression model analysis showed that the influencing factors of clinical pathological features such as TNM staging and lymph node metastasis in colon cancer were age,mutation of JAK2 gene rs2230724 site in colon cancer tissue,and positive expression rate of TCF3 protein(P＜0.05).The Kaplan Meier survival curve analysis showed that patients with JAK2 gene rs2230724 GG genotype and TCF3 protein positivity in colon cancer tissue had higher cumulative all-cause mortality rates(P＜0.05).The results of univariate and multivariate Cox regression model analysis showed that independent risk factors affecting the prognosis of colorectal cancer patients include JAK2 gene rs2230724 site GG type,TCF3 protein positive expression,TNM stage Ⅲ,lymph node metastasis,and age.Conclusion The proportion of JAK2 gene rs2230724 GG type and TCF3 protein expression in colorectal cancer tissues are related to their clinical pathological characteristics and prognosis,and can be used as reference indicators for evaluating clinical pathological characteristics and predicting prognosis of colorectal cancer.

Humans ; Gemcitabine ; Neoplasms

OBJECTIVE: To compare and analyze the effect of unplanned versus planned admission to the intensive care unit (ICU) on the prognosis of high-risk patients after surgery, so as to provide a clinical evidence for clinical medical staff to evaluate whether the postoperative patients should be transferred to ICU or not after surgery. METHODS: The clinical data of patients who were transferred to ICU after surgery admitted to the Affiliated Hospital of Guizhou Medical University from January to December in 2021 were retrospectively analyzed, including gender, age, body mass index, past history (whether combined with hypertension, diabetes, pulmonary disease, cardiac disease, renal failure, liver failure, hematologic disorders, tumor, etc.), acute physiology and chronic health evaluation II (APACHE II), elective surgery, pre-operative hospital consultation, length of surgery, worst value of laboratory parameters within 24 hours of ICU admission, need for invasive mechanical ventilation (IMV), duration of IMV, length of ICU stay, total length of hospital stay, ICU mortality, in-hospital mortality, and survival status at 30th day postoperative. The unplanned patients were further divided into the immediate transfer group and delayed transfer group according to the timing of their ICU entrance after surgery, and the prognosis was compared between the two groups. Cox regression analysis was used to find the independent risk factors of 30-day mortality in patients transferred to ICU after surgery. RESULTS: Finally, 377 patients were included in the post-operative admission to the ICU, including 232 in the planned transfer group and 145 in the unplanned transfer group (42 immediate transfers and 103 delayed transfers). Compared to the planned transfer group, patients in the unplanned transfer group had higher peripheral blood white blood cell count (WBC) at the time of transfer to the ICU [×10⁹/L: 10.86 (7.09, 16.68) vs. 10.11 (6.56, 13.27)], longer total length of hospital stay [days: 23.00 (14.00, 34.00) vs. 19.00 (12.00, 29.00)], and 30-day post-operative mortality was higher [29.66% (43/145) vs. 17.24% (40/232)], but haemoglobin (Hb), arterial partial pressure of carbon dioxide (PaCO₂), oxygenation index (PaO₂/FiO₂), and IMV requirement rate were lower [Hb (g/L): 95.00 (78.00, 113.50) vs. 98.00 (85.00, 123.00), PaCO₂ (mmHg, 1 mmHg ≈ 0.133 kPa): 36.00 (29.00, 41.50) vs. 39.00 (33.00, 43.00), PaO₂/FiO₂ (mmHg): 197.00 (137.50, 283.50) vs. 238.00 (178.00, 350.25), IMV requirement rate: 82.76% (120/145) vs. 93.97% (218/232)], all differences were statistically significant (all P < 0.05). Kaplan-Meier survival curve showed that the 30-day cumulative survival rate after surgery was significantly lower in the unplanned transfer group than in the planned transfer group (Log-Rank test: χ² = 7.659, P = 0.006). Univariate Cox regression analysis showed that unplanned transfer, APACHE II score, whether deeded IMV at transfer, total length of hospital stay, WBC, blood K⁺, and blood lactic acid (Lac) were associated with 30-day mortality after operation (all P < 0.05). Multifactorial Cox analysis showed that unplanned transfer [hazard ratio (HR) = 2.45, 95% confidence interval (95%CI) was 1.54-3.89, P < 0.001], APACHE II score (HR = 1.03, 95%CI was 1.00-1.07, P = 0.031), the total length of hospital stay (HR = 0.86, 95%CI was 0.83-0.89, P < 0.001), the need for IMV on admission (HR = 4.31, 95%CI was 1.27-14.63, P = 0.019), highest Lac value within 24 hours of transfer to the ICU (HR = 1.17, 95%CI was 1.10-1.24, P < 0.001), and tumor history (HR = 3.12, 95%CI was 1.36-7.13, P = 0.007) were independent risk factors for patient death at 30 days post-operative, and the risk of death was 2.45 times higher in patients unplanned transferred than in those planned transferred. Subgroup analysis showed that patients in the delayed transfer group had significantly longer IMV times than those in the immediate transfer group [hours: 43.00 (11.00, 121.00) vs. 17.50 (2.75, 73.00), P < 0.05]. CONCLUSIONS The 30-day mortality, WBC and total length of hospital stay were higher in patients who were transferred to ICU after surgery, and PaO₂/FiO₂ was lower. Unplanned transfer, oncology history, use of IMV, APACHE II score, total length of hospital stay, and Lac were independent risk factors for patient death at 30 days postoperatively, and patients with delayed transfer to ICU had longer IMV time.
Humans ; Retrospective Studies ; Respiration, Artificial ; Hospitalization ; Prognosis ; Intensive Care Units

【Objective】 To study the changes of platelet components(PC), apheresis platelets (AP) and pooled platelet concentrates (PPC) production of 19 provincial blood centers before and during the COVID-19 epidemic. 【Methods】 The data related to the collection of AP and the preparation of PPC from 2016 to 2021 of 19 provincial blood centers was collected. The production of PC, AP and PPC during the four years before the epidemic (i.e. 2016-2019) and during the COVID-19 epidemic (i.e. 2020 and 2021) were calculated respectively, and the change of production was analyzed. 【Results】 The total production of PC in 19 blood centers steadily increased from 2016 to 2019, with a decrease of 4.16% in 2020 and an increase of 15.60% in 2021, exceeding the output before the COVID-19 epidemic. In 2020, the production of PC of 42.11% (8/19) blood centers decreased compared with 2019, while 94.74% (18/19) in 2021 increased compared with 2020. The changes of AP output was basically consistent with the trend of PC. The total production of PPC in 2017 and 2018 both doubled compared to the previous year, while decreased by 67.98% in 2019, increased by 30.38% in 2020 and decreased by 27.08% in 2021. 【Conclusion】 The total production of PC kept increasing steadily between 2016 and 2019, but decreased in 2020 under the COVID-19 epidemic, with some blood centers being significantly affected. In 2021, with the strong support from government and various measures by blood centers, the total production of PC increased.

Applying Chinese medicine (CM) is an important strategy for malignant tumor treatment in China. One of the significant characteristics of CM is to treat diseases based on syndrome differentiation. For Western medicine, it is of important clinical significance to formulate guidelines for the diagnosis and treatment of cancer patients based on the characteristics of disease differentiation. In Chinese clinical practice, the combination of disease differentiation and syndrome differentiation is an important feature for cancer treatment in the past. Currently, molecular profiling and genomic analysis-based precision medicine optimizes the anticancer drug design and holds the greatest success in treating cancer patients. Therefore, we want to know which populations of cancer patients can benefit more from CM treatment if the theory of precision medicine is applied to CM clinical practice. So, we developed a novel diagnostic and therapeutic strategy "disease-syndrome differentiation-genomic profiling-prescriptions" for cancer patients by CM syndrome differentiation and precision medicine. As a result, this strategy has greatly enhanced the anti-tumor efficacy of CM and improved clinical outcomes for cancer patients with some gene mutations. Our idea will hopefully establish a novel approach for the inheritance and innovation of CM.
Antineoplastic Agents ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional ; Neoplasms/therapy* ; Precision Medicine ; Syndrome

Objective To analyze the diagnosis and treatment of two imported cases with schistosomiasis haematobia, so as to provide insights into improving the diagnosis and treatment and avoiding misdiagnosis and mistreatment of imported schistosomiasis haematobia. Methods The medical records and epidemiological data pertaining to the two cases were collected. The stool and urine samples were collected for identification of Schistosoma eggs using the Kato-Katz technique and direct smear method after centrifugal precipitation, and blood samples were collected for detection of anti-Schistosoma antibody. Following definitive diagnosis, the patients were given praziquantel therapy. Results The patient 1, a Malagasy, was infected in Madagascar and returned to China for delivery. The case presented intermittent painless terminal hematuria symptoms, and showed no remarkable improvements following multiple-round treatments in several hospitals. In January 2017, she was found to be positive for anti-Schistosoma antibody, negative for feces test, and positive for S. haematobium eggs in urine test, and miracidia were hatched from eggs. Then, the case was diagnosed as schistosomiasis haematobia. Patient 2 worked in Republic of Malawi for many years, and presented intermittent painless terminal hematuria since October 2018; however, no definite diagnosis or effective treatment was received after admission to multiple hospitals. In March 2019, pathological examinations showed a number of eggs in the interstitium of the bladder mass, accompanied by a large number of eosinophils, which was consistent with schistosomiasis cystitis. In April 2019, he was tested positive for serum anti-Schistosoma antibody, negative for the fecal test, and had S. haematobium eggs in urine samples, with miracidia hatched from eggs. Then, the case was diagnosed as schistosomiasis haematobia. Following treatment with praziquantel at a dose of 60 mg/kg, all symptoms disappeared. Conclusions Overseas imported schistosomiasis haematobia is likely to be misdiagnosed. The training pertaining to schistosomiasis control knowledge requires to be improved among clinical professionals, in order to avoid misdiagnosis and mistreatment.

There have been recent extensive studies and rapid advancement on the pathogenesis underlying idiopathic pulmonary fibrosis (IPF), and intricate pathogenesis of IPF has been suggested. The purpose of this study was to clarify the logical relationship between these mechanisms. An extensive search was undertaken of the PubMed using the following keywords: "etiology," "pathogenesis," "alveolar epithelial cell (AEC)," "fibroblast," "lymphocyte," "macrophage," "epigenomics," "histone," acetylation," "methylation," "endoplasmic reticulum stress," "mitochondrial dysfunction," "telomerase," "proteases," "plasminogen," "epithelial-mesenchymal transition," "oxidative stress," "inflammation," "apoptosis," and "idiopathic pulmonary fibrosis." This search covered relevant research articles published up to April 30, 2020. Original articles, reviews, and other articles were searched and reviewed for content; 240 highly relevant studies were obtained after screening. IPF is likely the result of complex interactions between environmental, genetic, and epigenetic factors: environmental exposures affect epigenetic marks; epigenetic processes translate environmental exposures into the regulation of chromatin; epigenetic processes shape gene expression profiles; in turn, an individual's genetic background determines epigenetic marks; finally, these genetic and epigenetic factors act in concert to dysregulate gene expression in IPF lung tissue. The pathogenesis of IPF involves various imbalances including endoplasmic reticulum, telomere length homeostasis, mitochondrial dysfunction, oxidant/antioxidant imbalance, Th1/Th2 imbalance, M1-M2 polarization of macrophages, protease/antiprotease imbalance, and plasminogen activation/inhibition imbalance. These affect each other, promote each other, and ultimately promote AEC/fibroblast apoptosis imbalance directly or indirectly. Excessive AEC apoptosis and impaired apoptosis of fibroblasts contribute to fibrosis. IPF is likely the result of complex interactions between environmental, genetic, and epigenetic factors. The pathogenesis of IPF involves various imbalances centered on AEC/fibroblast apoptosis imbalance.
Alveolar Epithelial Cells ; Apoptosis ; Endoplasmic Reticulum Stress ; Fibroblasts ; Humans ; Idiopathic Pulmonary Fibrosis/genetics*

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

In this study, the necessity of professional master's degree training in clinical pharmacy was analyzed by means of literature research and practice summary, and the existing problems in current professional curriculum, tutor team and practice teaching were discussed. In view of the existing problems, this paper puts forward that medical colleges and universities should give full play to their medical resources, draw lessons from the talents training experience of clinical pharmacists training base, adopt measures such as optimizing curriculum system, selecting tutors, attaching importance to practical teaching, so as to improve the quality of postgraduate training in clinical pharmacy, train high-level clinical pharmacists, and promote the development of clinical pharmacy in China.

Objective:To study HPLC fingerprints of Achyranthis Bidentatae Radix from different origins,compare different specifications in the same origin,and explore the effect of origin and specifications on the quality of Achyranthis Bidentatae Radix and relationship between the specifications and the internal quality of Achyranthis Bidentatae Radix, in order to provide basis for the identification of its origin. Method:The HPLC fingerprints of Achyranthis Bidentatae Radix from different origins and with different specifications in the same origin were collected. The similarity analysis,cluster analysis and principal component analysis were adopted to analyze the fingerprints,the differences in fingerprints of Achyranthis Bidentatae Radix from different origins and with different specifications in the same origin were compared. Result:Analysis of different origins and principal component analysis could be used to distinguish Achyranthis Bidentatae Radix from five producing areas,and the identification results of origin analysis was better than those of cluster analysis and similarity analysis. Analysis of different specifications, similarity analysis or principal component analysis could not distinguish Achyranthis Bidentatae Radix with different specifications. Conclusion:There are significant differences in chemical composition and peak height among Achyranthis Bidentatae Radix from different origins,with less differences in chemical composition and peak height of Achyranthis Bidentatae Radix with different specifications, the principal component analysis could be used to identify origins of Achyranthis Bidentatae Radix.