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Sixty to eighty percent of patients with newly diagnosed acute myeloid leukemia (AML) can achieve complete remission (CR) after intensive chemotherapy B . b However, current therapy remains unsatisfactory for high-risk AML patients, including the elderly, relapsed, refractory, and secondary AML [[1]]. However, 1 patient with CALR-mutated ET transformed to AML and 3 patients with de novo AML had not achieved CR. Acute myeloid leukemia (AML) has been characterized as a heterogeneous disease, and the majority of AML patients exhibit a poor prognosis even after intensive therapy. The result showed that DIAG regimen was well tolerated and effective with ORR of 80% in high-risk MDS and AML patients, including secondary AML and AML resistant to IA regimen. [Extracted from the article]

The article presents two case studies of somatic mutations of calreticulin in patients with myeloproliferative neoplasms. Topics include the case of a 55-year-old man who was noted for a 6-month history of fatigue and to have new-onset leukocytosis, and showed mutation type 2 after sanger sequencing; and case of a 51-year-old woman, who also demonstrated an identical 5-bp insertion, or type 2 mutation.

The diagnosis of tuberculous pericarditis (TBP) remains challenging. This prospective study evaluated the diagnostic value of Xpert MTB/RIF (Xpert) and T-SPOT.TB and adenosine deaminase (ADA) for TBP in a high burden setting. A total of 123 HIV-negative patients with suspected TBP were enrolled at a tertiary referral hospital in China. Pericardial fluids were collected and subjected to the three rapid tests, and the results were compared with the final confirmed diagnosis. Of 105 patients in the final analysis, 39 (37.1%) were microbiologically, histopathologically or clinically diagnosed with TBP. The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio (DOR) for Xpert were 66.7%, 98.5%, 96.3%, 83.3%, 44.0, 0.338, and 130.0, respectively, compared to 92.3%, 87.9%, 81.8%, 95.1%, 7.6, 0.088, and 87.0, respectively, for T-SPOT.TB, and 82.1%, 92.4%, 86.5%, 89.7%, 10.8, 0.194, and 55.8, respectively, for ADA (≥ 40 U/L). ROC curve analysis revealed a cut-off point of 48.5 spot-forming cells per million pericardial effusion mononuclear cells for T-SPOT.TB, which had a DOR value of 183.8, while a cut-off point of 41.5 U/L for ADA had a DOR value of 70.9. Xpert (Step 1: rule-in) followed by T-SPOT.TB [cut-off point] (Step 2: rule-out) showed the highest DOR value of 252.0, with only 5.7% (6/105) of patients misdiagnosed. The two-step algorithm consisting of Xpert and T-SPOT.TB could offer rapid and accurate diagnosis of TBP. [ABSTRACT FROM AUTHOR]

The article presents a case study of a patient with low-risk acute promyelocytic leukemia (APL) presented with first relapse after conventional treatments using two drugs all-trans retinoic acid (ATRA) and arsenic trioxide (ATO).Topics discussed include distinctly uncommon clinical course associated with a mutation in the promyelocytic leukemia gene (PML) allele, effect on the hybrid PML-RARA allele from mutations and poor prognosis of ATO-resistant APL patients.

Multi-objective optimization problems can be divided into continuous multi-objective optimization problems and discrete multi-objective optimization problems, and discrete multi-objective optimization is not universal. In practical applications, there are many discrete multi-objective optimization problems. The solution of different problems needs to design different evolutionary multi-objective algorithms according to their specific conditions. The threshold in the traditional multi-objective optimization of wireless network is a preset constant. It has relatively poor performance in the synthesis of images with different noise levels. An adaptive wireless network multi-objective optimization algorithm based on image synthesis is proposed. Based on the maximum inter class variance and maximum peak signal to noise ratio (SNR), an adaptive wireless network multi-objective optimization algorithm is established. The accuracy and noise immunity of image synthesis are also considered. In order to avoid the effect of threshold increase on algorithm efficiency, multi-objective optimization algorithm is introduced into the algorithm. Experiments show that the method proposed in this paper is accurate and robust and has good universality for the synthesis of different noise images. [ABSTRACT FROM AUTHOR]