Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma.

Genes associated with endoplasmic reticulum stress (ERS) and mitophagy can be conducive to predicting solid tumour prognosis. The authors aimed to develop a prognosis prediction model for these genes in lung adenocarcinoma (LUAD). Relevant gene expression and clinical information were collected from public databases including Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). A total of 265 differentially expressed genes was finally selected (71 up-regulated and 194 downregulated) in the LUAD dataset. Among these, 15 candidate ERS and mitophagy genes (ATG12, CSNK2A1, MAP1LC3A, MAP1LC3B, MFN2, PGAM5, PINK1, RPS27A, SQSTM1, SRC, UBA52, UBB, UBC, ULK1, and VDAC1) might be critical to LUAD based on the expression analysis after crossing with the ERS and mitochondrial autophagy genes. The prediction model demonstrated the ability to effectively predict the 5-, 3-, and 1-year prognoses of LUAD patients in both GEO and TCGA databases. Moreover, high VDAC1 expression was associated with poor overall survival in LUAD (p < 0.001), suggesting it might be a critical gene for LUAD prognosis prediction. Overall, the prognosis model based on ERS and mitophagy genes in LUAD can be useful for evaluating the prognosis of patients with LUAD, and VDAC1 may serve as a promising biomarker for LUAD prognosis.

Combination of Chest Computed Tomography Value and Clinical Laboratory Data for the Prognostic Risk Evaluation of Patients with COVID-19.

Objective: This study aims to investigate the independent prognostic factors of patients with coronavirus disease 2019 (COVID-19) and thereafter construct a related prognostic model. Methods: The subjects were screened following the COVID-19 diagnostic criteria. The independent prognostic factors were selected based on the indicators, including medical history, clinical manifestation, laboratory tests, imaging examination and clinical prognosis. Subsequently, we constructed a nomogram model to predict short-term prognosis. Results: Clinical information was obtained from 393 COVID-19 patients admitted to Zhongshan Hospital at Xiamen University between December 2022 and January 2023. The independent risk factors determined by Cox multivariate regression analysis included gender (OR: 0.355, 95% CI: 0.16~0.745), age (OR: 3.938, 95% CI: 1.221~15.9), pectoral muscle index (PMI, OR: 4.985, 95% CI: 2.336~11.443), pneumonia severity score (PSS, OR: 6.486, 95% CI: 2.082~21.416) and lactate dehydrogenase (LDH, OR: 3.857, 95% CI: 1.571~10.266). A short-term prognostic nomogram was developed based on the five independent risk factors above. The area under the receiver operating characteristic (ROC) curve (AUC) of the nomogram model was 0.857. The calibration curve confirmed the outcomes of the prognostic model, which exhibited excellent consistency with the actual results. Conclusion: In summary, gender, age, pectoral muscle index, pneumonia severity score, and lactate dehydrogenase are all independent risk factors for COVID-19 mortality. Thus, the nomogram based on the above indicators can predict the risk of mortality in COVID-19 patients. This may have the potential of being clinical application in prognostic evaluation of COVID-19.

Comparison of GLIM and PG-SGA for predicting clinical outcomes of patients with esophageal squamous carcinoma resection.

Introduction: Objective: to determine the validity of the Global Leadership Initiative on Malnutrition (GLIM) against the Patient Generated-Subjective Global Assessment (PG-SGA) as a gold standard tool in malnutrition diagnosis, and to assess the impact of malnutrition diagnosed using GLIM and PG-SGA on the clinical outcomes of patients with esophageal squamous carcinoma (ESCC) resection. Methods: we prospectively analyzed 182 patients with ESCC who underwent radical esophagectomy. Preoperative malnutrition was diagnosed using GLIM and PG-SGA, and the postoperative clinical outcomes, including postoperative complications, postoperative chest tube indwelling time, length of stay and total hospitalization cost, were recorded. The association between the prevalence of malnutrition defined by the two tools and postoperative clinical outcomes was evaluated. Results: among the 182 ESCC patients, the incidence of malnutrition before surgery was 58.2 % and 48.4 % defined by PG-SGA and GLIM, respectively. GLIM and PG-SGA had good consistency in nutritional assessment of ESCC patients (k = 0.628, p < 0.001). Malnourished patients had higher TNM stages and older ages (all p < 0.05). Patients with malnutrition as assessed by PG-SGA and GLIM had a higher incidence of postoperative complications, a longer indwelling time of chest tube after esophagectomy, longer hospital length of stay, and higher hospitalization costs than patients with good nutrition (p < 0.001). Comparing the predictive efficiency of postoperative complications, the sensitivity of PG-SGA- and GLIM-defined malnutrition were 81.6 % and 79.6 %, the specificity were 50.4 % and 63.2 %, the Youden index were 0.320 and 0.428, and the Kappa value were 0.110 and 0.130, respectively. The areas under ROC curve of PG-SGA- and GLIM-defined malnutrition and postoperative complications were 0.660 and 0.714, respectively. Conclusions: this study indicates the effectiveness of malnutrition diagnosed according to GLIM and PG-SGA in predicting postoperative clinical outcomes among patients with ESCC. Compared with PG-SGA, GLIM criteria can better predict postoperative complications of ESCC. Follow-up analysis of postoperative long-term survival is needed to explore the association between different assessment tools and postoperative long-term clinical outcomes.

Introducción: Objetivo: determinar la validez de la iniciativa de Liderazgo Global sobre la Malnutrición (GLIM) frente a la Evaluación Global Subjetiva Generada por el Paciente (PG-SGA) como herramienta de referencia en el diagnóstico de la malnutrición y evaluar el impacto de la malnutrición diagnosticada usando GLIM y PG-SGA en los resultados clínicos de los pacientes con resección de carcinoma escamoso de esófago (CEE). Métodos: se analizaron prospectivamente 182 pacientes con CEE sometidos a esofagectomía radical. La desnutrición preoperatoria se diagnosticó utilizando GLIM y PG-SGA, y se registraron los resultados clínicos posoperatorios, incluyendo complicaciones posoperatorias, tiempo de permanencia del tubo torácico, posoperatorio, duración de la estancia y coste total de hospital. Se evaluó la asociación entre la prevalencia de desnutrición definida por las dos herramientas y los resultados clínicos postoperatorios. Resultados: entre 182 pacientes con CEE, la incidencia de desnutrición antes de la cirugía fue del 58,2 % y 48,4 % definida por PG-SGA y GLIM, respectivamente. GLIM y PG-SGA tuvieron buena consistencia en la evaluación nutricional de los pacientes con CEE (k = 0,628, p < 0,001). Los pacientes desnutridos presentaron estadios TNM más altos y edades mayores (todos p < 0,05). Los pacientes con desnutrición evaluada por PG-SGA y GLIM tuvieron una mayor incidencia de complicaciones posoperatorias, mayor tiempo de permanencia del tubo torácico después de la esofagectomía, mayor tiempo de hospitalización y mayores costos de hospitalización que los pacientes con buena nutrición (p < 0,001). Comparando la eficacia predictiva de las complicaciones posoperatorias, la sensibilidad de la desnutrición definida por PG-SGA y GPG fue del 81,6 % y 79,6 %; la especificidad, del 50,4 % y 63,2 %; el índice de Youden, del 0,320 y 0,428; y el valor de Kappa, de 0,110 y 0,130, respectivamente. Las áreas bajo la curva de ROC de la malnutrición definida por PG-SGA y GPG y las complicaciones postoperatorio fueron 0,660 y 0,714, respectivamente. Conclusiones: este estudio indica la eficacia de la desnutrición diagnosticada según GLIM y PG-SGA en la predicción de los resultados clínicos postoperatorios en pacientes con CEE. En comparación con PG-SGA, los criterios GLIM pueden predecir mejor las complicaciones posoperatorias del CEE. Es necesario realizar un análisis de seguimiento de la supervivencia posoperatoria a largo plazo para explorar la asociación entre las diferentes herramientas de evaluación y los resultados clínicos posoperatorios a largo plazo.

Thoracoscopy-assisted minimally invasive surgical stabilization of the anterolateral flail chest using Nuss bars.

Flail chest is caused by complex fractures of multiple ribs as a result of severe chest injuries, which results in paradoxical chest movements that severely compromise respiratory function. We report our experience of thoracoscopically assisted, minimally invasive surgical stabilization of massive anterolateral flail chest using a Nuss bar in three patients. This technique offers effective stabilization while having the advantages of short surgical time, minimal blood loss, less trauma, quicker recovery, and small and inconspicuous incisions.