Allogeneic transplant with reduced intensity conditioning regimens may overcome the poor prognosis of B-cell chronic lymphocytic leukemia with unmutated immunoglobulin variable heavy-chain gene and chromosomal abnormalities (11q- and 17p-).

PURPOSE: To evaluate the efficacy of reduced intensity conditioning (RIC) allogeneic transplant in 30 patients with poor-prognosis chronic lymphocytic leukemia (CLL) and/or high-risk molecular/cytogenetic characteristics. EXPERIMENTAL DESIGN: Eighty-three percent of patients had active disease at the moment of transplant. That is, 14 of the 23 patients analyzed (60%) had unmutated immunoglobulin variable heavy-chain gene (IgV(H)) status; 8 of 25 patients (32%) had 11q-, with four of them also displaying unmutated IgV(H); and six (24%) had 17p- (five were also unmutated). RESULTS: After a median follow-up of 47.3 months, all 22 patients alive are disease free; overall survival and event-free survival (EFS) at 6 years were 70% and 72%, respectively. According to molecular/cytogenetic characteristics, overall survival and EFS for unmutated CLL and/or with 11q- aberration (n = 13) were 90% and 92%, respectively, not significantly different to those with normal in situ hybridization, 13q- and +12, or mutated CLL (n = 7). All six patients with 17p deletion were transplanted with active disease, including three with refractory disease; all except one reached complete remission after the transplant and two are alive and disease free. Nonrelapse mortality (NRM) was 20%; more than two lines before transplant is an independent prognostic factor for NRM (P = 0,02), EFS (P = 0.02), and overall survival (P = 0.01). Patients older than 55 years have a higher risk of NRM (hazard ratio, 12.8; 95% confidence interval, 1.5-111). Minimal residual disease was monitored by multiparametric flow cytometry in 21 patients. Clearance of CD79/CD5/CD19/CD23 cells in bone marrow was achieved in 68% and 94% of the patients at days 100 and 360, respectively. CONCLUSION: According to these results, RIC allogeneic transplant could overcome the adverse prognosis of patients with unmutated CLL as well as those with 11q- or 17p-.     

Acute and Chronic Glucose Control in Critically Ill Patients With Diabetes: The Impact of Prior Insulin Treatment

Background:Emerging data highlight the interactions of preadmission glycemia, reflected by admission HbA1c levels, glycemic control during critical illness, and mortality. The association of preadmission insulin treatment with outcomes is unknown.Methods:This observational cohort study includes 5245 patients admitted to the medical-surgical intensive care unit of a university-affiliated teaching hospital. Three groups were analyzed: patients with diabetes with prior insulin treatment (DM-INS, n = 538); patients with diabetes with no prior insulin treatment (DM-No-INS, n = 986); no history of diabetes (NO-DM, n = 3721). Groups were stratified by HbA1c level: <6.5%; 6.5%-7.9% and >8.0%.Results:Among the three strata of HbA1c, mean blood glucose (BG), coefficient of variation (CV), and hypoglycemia increased with increasing HbA1c, and were higher for DM-INS than for DM-No-INS. Among patients with HbA1c < 6.5%, mean BG ≥ 180 mg/dL and CV > 30% were associated with lower severity-adjusted mortality in DM-INS compared to patients with mean BG 80-140 mg/dL and CV < 15%, (P = .0058 and < .0001, respectively), but higher severity-adjusted mortality among DM-No-INS (P = .0001 and < .0001, respectively) and NON-DM (P < .0001 and < .0001, respectively). Among patients with HbA1c ≥ 8.0%, mean BG ≥ 180 mg/dL was associated with lower severity-adjusted mortality for both DM-INS and DM-No-INS than was mean BG 80-140 mg/dL (p < 0.0001 for both comparisons).Conclusions:Significant differences in mortality were found among patients with diabetes based on insulin treatment and HbA1c at home and post-admission glycemic control. Prospective studies need to confirm an individualized approach to glycemic control in the critically ill.     

A lifetable analysis of sterilization failure: data from the Profamilia Clinic, Bogota, Colombia

Sterilization failure rates were computed using lifetable methods for sterilizations occurring between 1973 and 1982 in the Profamilia family planning clinic in Bogota, Colombia. Out of a total of nearly 45,000 sterilizations occurring during this period 503 sterilization failures were detected. Comparing methods, laparoscopy with the silastic band method had a significantly higher rate of failure, 1.5% after 5 years compared to 0.9% for laparoscopy with cautery and 0.6% for minilaparotomy.     

Oral iron absorption in infantile protein-energy malnutrition.

The ability of infants with protein-energy malnutrition to absorb iron was assessed using the serum iron response to a dose of ferrous sulfate providing 3 mg elemental iron per kg body weight. Responses were grouped as flat (delta serum Fe less than 30 microgram/dl), intermediate (30 to 100 microgram/dl), and normal (greater the 100 microgram/dl). Of 25 consecutively admitted children studied, seven had a flat, five an intermediate, and 13 a normal curve (mean delta serum Fe: 10 microgram/dl, 66 microgram/dl, and 175 microgram/dl, respectively). There were no differences among the three groups in hematocrit, fasting serum iron or transferrin saturation, severity of malnutrition, or evidence of other malabsorption sufficient to explain these differences. Although hematocrits, fasting serum iron, and transferrin saturations did not change appreciably during nutritional rehabilitation, all children with initially abnormal responses subsequently had normal tests.     

Determination of TTT Diagrams of Ni-Al Binary Using Neural Networks

The heat treatment of a metal is a set of heating and cooling cycles that a metal undergoes to change its microstructure and, therefore, its properties. Temperature–time–transformation (TTT) diagrams are an essential tool for interpreting the resulting microstructures after heat treatments. The present work describes a novel proposal to predict TTT diagrams of the γ′ phase for the Ni-Al alloy using artificial neural networks (ANNs). The proposed methodology is composed of five stages: (1) database creation, (2) experimental design, (3) ANNs training, (4) ANNs validation, and (5) proposed models analysis. Two approaches were addressed, the first to predict only the nose point of the TTT diagrams and the second to predict the complete curve. Finally, the best models for each approach were merged to compose a more accurate hybrid model. The results show that the multilayer perceptron architecture is the most efficient and accurate compared to the simulated TTT diagrams. The prediction of the nose point and the complete curve showed an accuracy of 98.07% and 86.41%, respectively. The proposed final hybrid model achieves an accuracy of 96.59%.     

How has the COVID-19 pandemic influenced prostate cancer?—a tertiary single-centre analysis of oncological results,diagnosis and treatment times

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has affected care for diseases like cancer. The aim was to evaluate the impact of COVID-19 on waiting times for diagnosis and treatment of prostate cancer (PC), as well as the possible effect on the treatment results in PC patients undergoing radical prostatectomy.MethodsWe compared the results of 497 patients who underwent biopsy prior to the COVID-19 pandemic (1 January–31 December 2019) with those of 290 patients biopsied during the COVID-19 pandemic (1 January–31 December 2020). Demographic data, tumour characteristics, type of treatment and diagnosis times were comparable. Prostate specific antigen (PSA) levels were recorded at consultation prior to biopsy and after treatment. Mann-Whitney and chi-square tests were used to compare continuous variables and percentages, respectively.ResultsIn 2020, there were fewer urology consultations (35,160 vs. 40,225 in 2019). The median PSA in 2020 was significantly higher (14.3 vs. 9.9 ng/dL in 2019). In 2019, 53.1% (N=264) of the biopsies were positive for cancer vs. 47.2% (N=137) in 2020 (P=0.104). In 2020, more patients presented with metastatic disease (7.3% vs. 1.9%, P=0.009). Also, in 2020 there was a longer waiting time for prostate biopsy (42.1 vs. 35.3 days in 2019, P=0.019). A total of 132 patients underwent laparoscopic radical prostatectomy (LARP). The median time until surgery was similar in both years (71.9 vs. 58.29 days). During 2020, a higher percentage of patients had ISUP grade 4 in the surgical specimen (34.3% vs. 17.5%, P=0.07). Furthermore, a higher percentage of aggressive (pT3) tumours were diagnosed (37.2% vs. 27.2%, P=0.08), and the percentage of patients with involvement of surgical margins was also higher (48.6% vs. 29.3%, P=0.027). There were no differences between the groups in terms of biochemical recurrence or persistent PSA at one year (P=0.711).ConclusionsDelayed biopsy during the COVID-19 period did not appear to adversely impact biopsy results. Patients biopsied in 2020 had higher PSA, possibly due to proper triaging. A higher rate of adverse pathology outcomes was observed in patients undergoing radical prostatectomy during the pandemic, probably due to understaging of the biopsy. This study serves to raise awareness of the risk of deterioration of care of PC patients due to possible underdiagnosis.     

White matter brain structure predicts language performance and learning success

Individual differences in the ability to process language have long been discussed. Much of the neural basis of these, however, is yet unknown. Here we investigated the relationship between long‐range white matter connectivity of the brain, as revealed by diffusion tractography, and the ability to process syntactically complex sentences in the participants'' native language as well as the improvement thereof by multiday training. We identified specific network motifs by singular value decomposition that indeed related white matter structural connectivity to individual language processing performance. First, for two such motifs, one in the left and one in the right hemisphere, their individual prevalence significantly predicted the individual language performance, suggesting an anatomical predisposition for the individual ability to process syntactically complex sentences. Both motifs comprise a number of cortical regions, but seem to be dominated by areas known for the involvement in working memory rather than the classical language network itself. Second, we identified another left hemispheric network motif, whose change of prevalence over the training period significantly correlated with the individual change in performance, thus reflecting training induced white matter plasticity. This motif comprises diverse cortical areas including regions known for their involvement in language processing, working memory and motor functions. The present findings suggest that individual differences in language processing and learning can be explained, in part, by individual differences in the brain''s white matter structure. Brain structure may be a crucial factor to be considered when discussing variations in human cognitive performance, more generally.