Medicine
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A number of studies have been conducted to explore the survival of gastric cancer (GC) patients, while studies about non-cancer causes of death in patients with GC are not well-conducted. The aim of this study was to deeply investigate the causes of death (COD) in GC patients, especially non-cancer ones. The Surveillance, Epidemiology and End Results (SEER) database was used to extract information including demographics, tumor characteristics and causes of death of GC patients meeting the inclusion criteria. ⋯ Diseases of heart were the most common non-cancer cause of death, accounting for 30%, followed by cerebrovascular diseases (n = 917; 6%) and chronic obstructive pulmonary disease (n = 900; 6%). Although gastric cancer remains the most common cause of death in gastric cancer patients, it should not be ignored that the risk of non-cancer causes tends to increase with the length of the latency period. These findings may provide important insights into the healthcare management of gastric cancer patients at various follow-up intervals.
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Deep learning techniques explain the enormous potential of medical image analysis, particularly in digital pathology. Concurrently, molecular markers have gained increasing significance over the past decade in the context of glioma patients, providing novel insights into diagnosis and more personalized treatment options. Deep learning combined with imaging and molecular analysis enables more accurate prognostication of patients, more accurate treatment plan proposals, and accurate biomarker (IDH) prediction for gliomas. This systematic study examines the development of deep learning techniques for IDH prediction using histopathology images, spanning the period from 2019 to 2023. ⋯ When predicting the status of IDH, the classifier built on digital pathological images demonstrates exceptional performance. The study's predictive effectiveness is enhanced with the utilization of the appropriate deep learning model. However, external verification is necessary to showcase their resilience and universality. Larger sample sizes and multicenter samples are necessary for more comprehensive research to evaluate performance and confirm clinical advantages.
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Intestinal nontuberculous mycobacteriosis due to nontuberculous mycobacteria infection has clinical manifestations similar to intestinal tuberculosis and inflammatory bowel disease, causing difficulties in clinical diagnosis. ⋯ This study reported a patient with an intestinal nontuberculous mycobacteriosis diagnosed by colonoscopy biopsy and nucleotide-based MALDI-TOF MS, and symptoms were relieved after antimycobacterial treatment.
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Anticoagulant rodenticides (ARs) are a substantial fraction of murine types. AR poisoning causes bleeding from the skin, mucous membranes, and multiple organs. However, reports of AR-induced cerebral hemorrhage are scarce. ⋯ Rodenticide poisoning-induced cerebral hemorrhage is rarely reported. Because its symptoms are nonspecific, it is easy to miss the diagnosis or misdiagnose. When patients present with direct and indirect symptoms such as dizziness, headache, and limb weakness, rodenticide poisoning should be considered. Coagulation function and head computed tomography or magnetic resonance imaging examination should be performed at the earliest to confirm the diagnosis and provide timely treatment.
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Adjuvants may enhance the efficacy of vaccines. however, the efficacy of adjuvant-associated COVID-19 vaccines (ACVs) remains unclear since the emergence of the COVID-19 pandemic. This study aimed to address this gap by conducting a systematic review and meta-analysis of the efficacy of ACVs against Severe Acute Respiratory Syndrome Coronavirus 2 CoV (SARS-CoV-2) variants of concern (VOC). ⋯ In this meta-analysis, it should be that full vaccination with ACVs has high efficacy against Alpha or Gamma variants and moderate efficacy against Beta and Delta variants. Notably, with the exception of the aluminum-adjuvanted vaccine, the other ACVs had moderate to high efficacy against the SARS-CoV-2 variant. This raises concerns about the effectiveness of ACVs booster vaccinations against Omicron.