Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

AIM: To analyze the distribution frequency of gene polymorphisms of β receptor blockers, angiotensin receptor antagonists, angiotensin converting enzyme inhibitors, calcium antagonists, and diuretics in hypertensive patients from southern Anhui province, and provide a theoretical basis for gene detection of hypertension drugs and personalized medication. METHODS: Drug gene testing information from 839 hospitalized patients with hypertension at Yijishan Hospital of Wannan Medical College from July 2021 to April 2023 were collected, and the distribution frequency of each gene locus were analyzed. RESULTS: The genotype frequencies of ACE (I/D) I/I, I/D, and D/D were 42.1%, 46.0%, and 11.9%, respectively. the genotype frequencies of ADRB1 (1165G>C) G/G, G/C, and C/C were 8.3%, 40.0%, and 51.6%, respectively. The genotype frequencies of AGTR1 (1166A>C) A/A, A/C, and C/C were 90.2%, 9.8%, and 0.0%. The genotype frequencies of CYP2C9*3 (1075A>C) *1/*1, *1/*3, and *3/*3 were 91.3%, 8.7%, and 0.0%, respectively; the genotype frequencies of CYP2D6* 10 (100C > T) *1/*1, *1/*10, and *10/*10 were 25.0%, 36.6%, and 38.4%, respectively. The genotype frequencies of CYP3A5*3 (6986A>G) *1/*1, *1/*3, and *3/*3 were 7.0%, 39.0%, and 54.0%, respectively. The frequencies of NPPA (2238T>C) T/T, T / C, and C / C genotypes were 97.9%, 2.1%, and 0.0%, respectively. In addition, there was a significant difference in the genotype distribution frequency of multiple drug related gene loci in southern Anhui compared to other regions in China (P< 0.05). CONCLUSION: The genotype distribution frequency of hypertensive drug related gene loci had certain bias in southern Anhui, and were significant different from other regions in China, indicating that conducting genetic polymorphism testing of hypertensive drugs had certain guiding significance for the individualized application of hypertensive drugs in southern Anhui.

Objective To investigate the value of a nomogram model based on contrast-enhanced CT radiomics in predicting the histological type of thymoma.Methods A total of 154 patients(101 in low-risk group and 53 in high-risk group)with thymoma confirmed by pathology were retrospectively selected.The cases were randomly divided into training set(n=107)and validation set(n=47)at a ratio of 7∶3.The three-dimensional volume of interest(VOI)of the whole lesion on the image from the arterial phase of contrast-enhanced CT was manually delineated,and the radiomics features were extracted.Based on the selected radiomics features,the radiomics model was constructed and the model Radiomics score(Radscore)was calculated.Clinical risk factors were screened to construct a clinical model,and a nomogram model was constructed by fusing Radscore and clinical risk factors.The receiver operating characteristic(ROC)curve,area under the curve(AUC),accuracy,sensitivity and specificity were compared to analyze the predictive efficacy and difference of different models for high-risk and low-risk thymoma.The decision curve and calibration curve were drawn to evaluate the clinical value and fitting performance of the nomogram model.Results Eleven radiomics features were selected to construct the radiomics model,and five clinical risk factors[myasthenia gravis(MG),morphology,border,surrounding tissue invasion and CT value in arterial phase]were used to construct the clinical model.In the training set,the AUC of the nomogram model(0.88)was higher than that of the radiomics model(0.80)and the clinical model(0.79),and the difference was statistically significant(Z=2.233,2.713,P=0.026,0.007,respectively).In the validation set,the AUC of the nomogram model was higher than that of the radiomics and clinical models,but the difference was not statistically significant.The calibration curve showed that the nomogram model had good fitting performance,and the decision curve showed that the nomogram model had high clinical benefit.Conclusion The nomogram model based on contrast-enhanced CT can effectively predict high-risk and low-risk thymoma,which is helpful to guide clinicians to make relevant decisions.

Selective dorsal neurotomy (SDN) is a surgical treatment for primary premature ejaculation (PE), but there is still no standard surgical procedure for selecting the branches of the dorsal penile nerves to be removed. We performed this study to explore the value of intraoperative neurophysiological monitoring (IONM) of the penile sensory-evoked potential (PSEP) for standard surgical procedures in SDN. One hundred and twenty primary PE patients undergoing SDN were selected as the PE group and 120 non-PE patients were selected as the normal group. The PSEP was monitored and compared between the two groups under both natural and general anesthesia (GA) states. In addition, patients in the PE group were randomly divided into the IONM group and the non-IONM group. During SDN surgery, PSEP parameters of the IONM group were recorded and analyzed. The differences in PE-related outcome measurements between the perioperative period and 3 months' postoperation were compared for the PE patients, and the differences in effectiveness and complications between the IONM group and the non-IONM group were compared. The results showed that the average latency of the PSEP in the PE group was shorter than that in the normal group under both natural and GA states (P < 0.001). Three months after surgery, the significant effective rates in the IONM and non-IONM groups were 63.6% and 34.0%, respectively (P < 0.01), and the difference in complications between the two groups was significant (P < 0.05). IONM might be useful in improving the short-term therapeutic effectiveness and reducing the complications of SDN.
Male ; Humans ; Premature Ejaculation/surgery* ; Intraoperative Neurophysiological Monitoring/methods* ; Prospective Studies ; Neurosurgical Procedures/methods* ; Penis/surgery* ; Retrospective Studies

Objective: To analyze three different integrated scoring schemes of prostate biopsy and to compare their concordance with the scoring of radical prostatectomy specimens. Methods: A retrospective analysis of 556 patients with radical prostatectomy performed in Nanjing Drum Tower Hospital, Nanjing, China from 2017 to 2020. In these cases, whole organ sections were performed, the pathological data based on biopsy and radical prostatectomy specimens were summarized, and 3 integrated scores of prostate biopsy were calculated, namely the global score, the highest score and score of the largest volume. Results: Among the 556 patients, 104 cases (18.7%) were classified as WHO/ISUP grade group 1, 227 cases (40.8%) as grade group 2 (3+4=7); 143 cases (25.7%) as grade group 3 (4+3=7); 44 cases (7.9%) as grade group 4 (4+4=8) and 38 cases (6.8%) as grade group 5. Among the three comprehensive scoring methods for prostate cancer biopsy, the consistency of global score was the highest (62.4%). In the correlation analysis, the correlation between the scores of radical specimens and the global scores was highest (R=0.730, P<0.01), while the correlations of the scores based on radical specimens with highest scores and scores of the largest volume based on biopsy were insignificant (R=0.719, P<0.01; R=0.631, P<0.01, respectively). Univariate and multivariate analyses showed tPSA group and the three integrated scores of prostate biopsy were statistically correlated with extraglandular invasion, lymph node metastasis, perineural invasion and biochemical recurrence. Elevated global score was an independent prognostic risk factor for extraglandular invasion and biochemical recurrence in patients; increased serum tPSA was an independent prognostic risk factor for extraglandular invasion; increased hjighest score was an independent risk factor for perineural invasion. Conclusions: In this study, among the three different integrated scores, the overall score is most likely corresponded to the radical specimen grade group, but there is difference in various subgroup analyses. Integrated score of prostate biopsy can reflect grade group of radical prostatectomy specimens, thereby providing more clinical information for assisting in optimal patient management and consultation.
Male ; Humans ; Prostate/pathology* ; Retrospective Studies ; Prostatectomy/methods* ; Biopsy ; Prostatic Neoplasms/pathology*

Humans ; Lymphoma, B-Cell

OBJECTIVE: To investigate the clinical characteristics and prognosis of hematological malignancies superimposed patients with solid tumors. METHODS: The clinical data of 30 patients with more than two kinds of malignancy (the second is hematological malignancy) from October 2011 to October 2020 in Department of Hematology, Jiangning Hospital Affiliated to Nanjing Medical University were collected and analyzed retrospectively. The overall survival time was used as the prognostic evaluation standard, and the survival of patients were analyzed by KaplanMeier method. Logrank test and Cox regression model were used to carry out univariate and multivariate retrospective analysis on clinical and laboratory parameters of 30 patients. RESULTS: Among 30 cases, 20 were male, 10 were female, the median age of onset of the second tumor was 70 years old. The common types of the secondary hematological malignancies to solid tumors are myelodysplastic syndrome, acute myeloid leukemia, multiple myeloma. Univariate analysis showed that patients' gender, age, type of solid tumors, the onset of interval between two kinds of tumor, chromosome karyotype were not related to do with the patients' overall survival time. Type of hematologic disease, ECOG score were associated with patients' overall survival time, and the multivariate analysis showed that the type of hematologic disease and ECOG score were independent risk factors for patients with poor prognosis. CONCLUSION Patients superimposed with solid tumors complicated with myelodysplastic syndrome or acute leukemia and ECOG score ≥3 have poor prognosis and shorter overall survival time, which are independent risk factors influencing the prognosis. Bone marrow injury, immune dysfunction and genetic susceptibility after chemoradiotherapy may be the main causes of these diseases.
Aged ; Female ; Hematologic Neoplasms/complications* ; Humans ; Leukemia, Myeloid, Acute/complications* ; Male ; Myelodysplastic Syndromes/complications* ; Prognosis ; Retrospective Studies

SARS-CoV-2 infection causes complicated clinical manifestations with variable multi-organ injuries, however, the underlying mechanism, in particular immune responses in different organs, remains elusive. In this study, comprehensive transcriptomic alterations of 14 tissues from rhesus macaque infected with SARS-CoV-2 were analyzed. Compared to normal controls, SARS-CoV-2 infection resulted in dysregulation of genes involving diverse functions in various examined tissues/organs, with drastic transcriptomic changes in cerebral cortex and right ventricle. Intriguingly, cerebral cortex exhibited a hyperinflammatory state evidenced by significant upregulation of inflammation response-related genes. Meanwhile, expressions of coagulation, angiogenesis and fibrosis factors were also up-regulated in cerebral cortex. Based on our findings, neuropilin 1 (NRP1), a receptor of SARS-CoV-2, was significantly elevated in cerebral cortex post infection, accompanied by active immune response releasing inflammatory factors and signal transmission among tissues, which enhanced infection of the central nervous system (CNS) in a positive feedback way, leading to viral encephalitis. Overall, our study depicts a multi-tissue/organ transcriptomic landscapes of rhesus macaque with early infection of SARS-CoV-2, and provides important insights into the mechanistic basis for COVID-19-associated clinical complications.
Animals ; COVID-19/genetics* ; Macaca mulatta ; SARS-CoV-2/genetics* ; Transcriptome

OBJECTIVES: The waiting room for surgery is an area set up to improve the surgical turnover rate, but the waiting time for surgery is uncertain. Patients are prone to negative emotions that affect their physiological state during waiting time. This study aims to explore the effect of Mandala painting intervention based on Mandala-self theory on the emotion and physiological state of patients waiting before operation. METHODS: The patients in the control group ( RESULTS: Diastolic pressure, heart rate, and happiness and excitement showed no statistical significance in the time effect, intervention effect, and interaction between the 2 factors (all CONCLUSIONS The application of Mandala painting in the operation waiting room is feasible and can effectively regulate the patients' negative mood and systolic pressure, as well as shorten the waiting time of perception.
Anxiety ; Emotions ; Heart Rate ; Humans ; Pain ; Waiting Rooms