Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.

Radiomics and machine learning have been extensively utilized in the realm of urinary stones, particularly in forecasting stone treatment outcomes. The objective of this study was to integrate clinical variables and radiomic features to develop a machine learning model for predicting the stone-free rate (SFR) following percutaneous nephrolithotomy (PCNL). A total of 212 eligible patients who underwent PCNL surgery at the Second Affiliated Hospital of Nanchang University were included in a retrospective analysis. Preoperative clinical variables and non-contrast-enhanced CT images of all patients were collected, and radiomic features were extracted after delineating the stone ROI. Univariate analysis was conducted to identify clinical variables strongly correlated with the stone-free rate after PCNL, and the least absolute shrinkage and selection operator algorithm (lasso regression) was utilized to screen radiomic features. Four supervised machine learning algorithms, including Logistic Regression, Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting Decision Tree (GBDT), were employed. The clinical variables with strong correlation and screened radiomic features were integrated into the four machine learning algorithms to construct a prediction model, and the receiver operating curve was plotted. The area under the receiver operating curve (AUC), the accuracy rate, the specificity, etc., were used to evaluate the predictive performance of the four models. After analyzing postoperative statistics, the stone-free rate following the procedure was found to be 70.3% (n = 149). Among the various clinical variables examined, factors, such as stone number, stone diameter, stone CT value, stone location, and history of stone surgery, were identified as statistically significant in relation to the stone-free rate after PCNL. A total of 121 radiomic features were extracted, and through lasso regression, 7 features most closely associated with the stone-free rate post-PCNL were identified. The predictive accuracy of different models (Logistic Regression, RF, XGBoost, and GBDT) for determining the stone-free rate after PCNL was evaluated, yielding accuracies of 78.1%, 76.6%, 75.0%, and 73.4%, respectively. The corresponding area under the curve AUC (95%CI) were 0.85 (0.83-0.89), 0.81 (0.76-0.85), 0.82 (0.78-0.85), and 0.77 (0.73-0.81), positioning these models among the top performers in logistic regression prediction. In terms of predictive importance scores, the key factors identified by the logistic regression model were number of stone, zone percentage, stone diameter, and surface area. Similarly, the RF model highlighted number of stone, stone CT value, stone diameter, and surface area as the top predictors. Among the four machine learning models, the logistic regression model demonstrated the highest accuracy and discrimination ability in predicting the stone-free rate following PCNL. In comparison to XGBoost and GBDT, RF also exhibited superior accuracy and a certain level of discrimination ability. However, based on the performance of all four models, logistic regression is more likely to aid in clinical decision-making by assisting clinicians in diagnosing PCNL in patients. This enables us to effectively predict the presence of residual stones post-surgery and ultimately select patients who are suitable candidates for PCNL.

[Clinical study of intravenous injecting itraconazole as empirical antifungal therapy for patients with hematological malignancies].

This study was purposed to investigate the efficacy and safety of intravenous injecting itraconazole (ITCZ) as empirical antifungal therapy in the patients with hematological malignancies. According to recommendation in IDSA guidebook, the patients suffered from fever during neutropenia and inefficacy of treatment using broad-spectrum antibiotics for 4 days should receive intravenous injection of ITCZ as empirical antifungal therapy. The results showed that the overall clinical response rate to ITCZ injection was 62.9% (22/35), and the success rate of achieving composite endpoints was 54.3% (19/35). Mild adverse reactions were observed in 6 patients (17.1%). The injection of ITCZ was stopped in 2 patents (5.7%) due to adverse reaction. Further analysis revealed that the response rate was higher in patients with fever prior to the start of ITCZ within five days than beyond five days (P = 0.031). The response rate was higher in patients with possible invasive fungus infection (IFI) than that in patients with probable and confirmed IFI (P = 0.002). The prophylactic antifungal treatment during neutropenia displayed no significant influence on efficacy of empirical antifungal therapy with itraconazole (P = 0.054). It is concluded that the good efficacy and safety of empirical ITCZ injection for hematological malignancies patients is efficient and safe.

[A retrospective study of kidney insufficiency in adult patients after myeloablative allogeneic hematopoietic stem cell transplantation].

The aim of this study was to investigate the renal function in 149 patients receiving myeloablative allogeneic hematopoietic stem cell transplantation (allo-HSCT) from June 2005 to June 2010 in our hospital, and analyze the risk factors resulting in kidney insufficiency and experience in diagnose and therapy. The creatinine clearance (CrCL) and serial creatinine level were evaluated before and after allo-HSCT within 100 days and 1 year. Non-radiation conditioning regimens were used for any patients. The acute kidney insufficiency (AKI) was defined as at least a 1.5-fold rise in serum creatinine level after allo-HSCT within the first 100 days. The chronic kidney insufficiency (CKI) was defined as the creatinine clearance < basal level within 3 months to 1 year after allo-HSCT. The results showed that the kidney insufficiency was found in 41 patients, in which the incidence of AKI was 32/149 (21.5%). CsA, amphotericin B (P = 0.025) and ES (P = 0.022) were defined as risk factors for AKI. The incidence of CKI was 18/138 (13%). cGVHD (P = 0.013) and TA-TMA (P = 0.012) were associated with the development of CKI. The 2-year survival was lower in patients with kidney dysfunction than that in patients without kidney dysfunction (39% vs 74.1%, P < 0.001). The main factors resulting in kidney insufficiency were defined as infection (52%), GVHD (20%), TA-TMA (12%) and tumor relapse (12%). It is concluded that kidney insufficiency is an important complication of allo-HSCT. Careful monitoring kidney function, minimizing the use of amphotericin B, prophylaxis and effective treatment of fungal infection, GVHD and TA-TMA may be effective preventive measures to decrease the incidence of kidney insufficiency.

[A preliminary study on clinical diagnostic value of plasma elafin in skin acute graft-versus-host disease].

OBJECTIVE: To analyze the specificity, sensitivity and receiver operating characteristic (ROC) curve of plasma elafin for diagnosis of skin acute graft-versus-host disease (aGVHD), and to explore its clinical diagnostic value. METHODS: Incidence of skin aGVHD from fifty-three patients received allogeneic hematopoietic stem cell transplantation (allo-HSCT) were observed prospectively in Guangdong General Hospital from Apr 2010 to Aug 2011. The plasma concentrations of elafin were detected by enzyme-linked immunosorbent assay (ELISA). Skin biopsies were taken from 28 patients with skin rash, and elafin expression in the skin was detected by immunohistochemistry. Positive expression was defined as significant staining of at 50% of the depth of the epidermis, excluding the granular cell layer and the acrosyringium. RESULTS: Among 28 patients with skin rash, twenty-five were considered as skin aGVHD by clinical diagnosis, seventeen were confirmed as skin aGVHD by pathological biopsy. 11 cases were elafin positive by immunohistochemical staining. Elafin protein was overexpressed in aGVHD skin tissue (P = 0.001). Plasma concentrations of elafin were significantly higher in patients with skin aGVHD (positive) group than in those without skin aGVHD (negative) group (P = 0.005), among which there being no statistically significant difference in plasma elafin level between patients with grade I skin aGVHD group and negative group(P = 0.971), but being statistically significant difference compared patients with grade II-IV skin aGVHD group with those with grade I skin aGVHD group (P = 0.02) and with negative group (P = 0.008). Using the pathological diagnosis as the gold standard, the estimated specificity and the sensitivity of clinical diagnosis criteria were 27.3% and 100%, respectively, and those of tissue elafin protein level were 100% and 64.7%, respectively. The area under the ROC curve was 0.909 (0.797 - 1.021) when plasma concentrations of elafin was used in diagnosis of skin aGVHD. The sensitivity was 82.4% and the specificity was 81.8 % when the critical value was set at 1456.043 µg/L. CONCLUSION: Plasma concentration of elafin is significantly higher at the onset of skin aGVHD. It can be used as biochemical marker of skin aGVHD and has higher value in diagnosis of skin aGVHD.

Linear-time algorithms for the multiple gene duplication problems.

A fundamental problem arising in the evolutionary molecular biology is to discover the locations of gene duplications and multiple gene duplication episodes based on the phylogenetic information. The solutions to the MULTIPLE GENE DUPLICATION problems can provide useful clues to place the gene duplication events onto the locations of a species tree and to expose the multiple gene duplication episodes. In this paper, we study two variations of the MULTIPLE GENE DUPLICATION problems: the EPISODE-CLUSTERING (EC) problem and the MINIMUM EPISODES (ME) problem. For the EC problem, we improve the results of Burleigh et al. with an optimal linear-time algorithm. For the ME problem, on the basis of the algorithm presented by Bansal and Eulenstein, we propose an optimal linear-time algorithm.

[Serum proteomics in patients with RAEB myelodysplastic syndromes].

OBJECTIVE: To screen the molecular markers for refractory anemia with excess blasts in transformation (RAEB) in myelodysplastic syndromes (MDS) by serum proteome profiling. METHODS: The serum protein were isolated from patients with RAEB, acute myeloid leukemia or normal subjects by 2-dimensional electrophoresis (2-DE), and the electrophoresis gels were obtained to identify the differentially reacting protein spots. The replica gels of the differentially reacting proteins were analyzed to locate the matching protein spots, which were identified by peptide mass fingerprint based on matrix-assisted laser desorption/ionization time of-flight mass spectrometry (MALDI-TOF-MS) and database searching. RESULTS: Seven differentially expressed proteins in RAEB were found by 2-DE. Of the 7 proteins, 4 were identified by MALDI-TOF-MS to have significantly differential expression in RAEB, including dipeptidyl peptidase (DPP/CD26), polymerase (DNA directed) kappa, PRO2044 and an albumin-like protein. CONCLUSION: 2-DE-based serum proteome profiling helps identify serum proteomic biomarkers related to MDS. DDP/CD26 has increased expression in the serum in RAEB subtype MDS, suggesting its possible role in advanced MDS.

[Acute pancreatitis induced by cyclosporine a following allogeneic hematopoietic stem cell transplant].

Pancreatitis has not been reported in allogeneic stem cell transplant (allo-SCT) recipients with cyclosporine in China. This article presented a case of acute pancreatitis in a 49-year-old patient with AML-M2a who received allogeneic stem cell transplant from her HLA identical sister. The preparative regimen consisted of busulfan and cyclophosphamide. The cyclosporine A, short-term methotrexate and antilymphocyte globulin (ATG), were used to prevent the graft-versus-host disease (GVHD). Clinical and laboratory signs of acute pancreatitis were found in the patient on day 20 post-transplant. A diagnosis of acute pancreatitis was made although the pancreas was apparently normal at abdominal contrast-enhanced tomography and ultrasonography. She recovered with supportive care and reduction of cyclosporine dose. In conclusion, cyclosporine is the probable cause of pancreatitis in this patient.

[Therapeutic effects of chemotherapeutic regimens containing pirarubicin on the treatment of high-risk or refractory and relapsed acute leukemia in adults].

OBJECTIVE: To evaluate the therapeutic effects of chemotherapeutic regimen containing pirarubicin (THP) on the treatment of high-risk or refractory and relapsed acute leukemia (AL) in adults. METHODS: Forty patients with high-risk or refractory and relapsed AL, 26 males and 14 females, aged 33 (14-63) received treatment regimens with THP: TA regimen [THP + cytosine-arabinoside (Ara-C)] for acute myeloid leukemia (AML) and TAOP regimen [THP + Ara-C + vincristine (VCR) + prednisone (Pred)] for acute lymphocytic leukemia (ALL) or biphenotype-AL. Forty matched patients received mitoxantron (MIT) + Ara-C for AML or MIT + Ara-C + VCR + Pred for ALL and biphenotype AL as controls. The therapeutic effects were observed. RESULTS: The complete remission (CR) rate was 47.5% vs 45% (P > 0.05), partial response (PR) rate was 25% vs 20% (P > 0.05), and overall response (OR) rate was 72.5% vs 65% (P > 0.05) in the treatment group and control group. The continuous CR time was 528 days in the treatment group, significantly longer than in the control group (463 days, P < 0.05). Marrow suppression was more serious in the treatment group. The patients in the treatment group had higher incidence of infections (P < 0.05). The time with sustained recovery of platelet number was 13.9 days in the treatment group, significantly longer than in the control group (P < 0.05). CONCLUSION: Regimens with THP are more effective on treatment of high-risk or refractory and relapsed AL in adults, however, with more serious marrow suppression and higher incidence of infection.