Prognostic significance and immune escape implication of tumor-infiltrating neutrophil plasticity in human head and neck squamous cell carcinoma.

Tumor-infiltrating neutrophils play a crucial role in the progression of head and neck squamous cell carcinoma (HNSCC). Here, we aimed to statistically quantify the plasticity of HNSCC-infiltrating N2/N1 neutrophils and examine its impacts on survival and immune infiltration landscape. A retrospective study of 80 patients who underwent curative surgical resection for HNSCC between 2014 and 2017 was conducted in this study. HNSCC-infiltrating neutrophil phenotypes were classified using immunofluorescence staining, and the N2/N1 neutrophil plasticity was evaluated via the ratio of N2/N1 neutrophils. We then assessed the correlations between N2/N1 neutrophil plasticity, clinicopathological characteristics, and immune infiltration landscape using rigorous statistical methods. Infiltration variations of N1 and N2 neutrophils were observed between the tumor nest (TN) and tumor stroma (TS), with TN exhibiting higher N2 neutrophil infiltration and lower N1 neutrophil infiltration. High ratios of N2/N1 neutrophils were correlated with advanced TNM stage, large tumor size and invasion of adjacent tissue. High infiltration of N2 neutrophils was associated with decreased overall and relapse-free survival, which were opposite for N1 neutrophils. The independent prognostic role of N2/N1 neutrophil plasticity, particularly within the TN region, was confirmed by multivariate analyses. Moreover, the ratio of N2/N1 neutrophils within the TN region showed correlations with high CD8+ T cells infiltration and low FOXP3+ Tregs infiltration. We identify HNSCC-infiltrating N2/N1 neutrophil plasticity as a crucial prognostic indictor which potentially reflects the tumor microenvironment (TME) and immune escape landscape within HNSCC tissues. Further investigations and validations may provide novel therapeutic strategies for personalized immunomodulation in HNSCC patients.

Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia.

OBJECTIVE: Rapid progression of COVID-19 pneumonia may put patients at risk of requiring ventilatory support, such as non-invasive mechanical ventilation or endotracheal intubation. Implementing tools that detect COVID-19 pneumonia can improve the patient's healthcare. We aim to evaluate the efficacy and efficiency of the artificial intelligence (AI) tool GE Healthcare's Thoracic Care Suite (featuring Lunit INSIGHT CXR, TCS) to predict the ventilatory support need based on pneumonic progression of COVID-19 on consecutive chest X-rays. METHODS: Outpatients with confirmed SARS-CoV-2 infection, with chest X-ray (CXR) findings probable or indeterminate for COVID-19 pneumonia, who required a second CXR due to unfavorableclinical course, were collected. The number of affected lung fields for the two CXRs was assessed using the AI tool. RESULTS: One hundred fourteen patients (57.4±14.2 years, 65-57%-men) were retrospectively collected. Fifteen (13.2%) required ventilatory support. Progression of pneumonic extension ≥0.5 lung fields per day compared to pneumonia onset, detected using the TCS tool, increased the risk of requiring ventilatory support by 4-fold. Analyzing the AI output required 26s of radiological time. CONCLUSIONS: Applying the AI tool, Thoracic Care Suite, to CXR of patients with COVID-19 pneumonia allows us to anticipate ventilatory support requirements requiring less than half a minute.

Malnutrition significantly affected centenarian prognoses: A prospective study with 5-year follow-up.

BACKGROUND: The world is currently facing a much-needed conundrum, and population aging has become an important worldwide problem. Appropriate nutritional intervention could prolong survival time and reduce mortality rate. However, scarce study has involved the effects of nutrition on survival time in centenarians and evaluated the malnutrition with prognostic nutritional index (PNI) in relation to healthy aging. This prospective study was designed to investigate the effects of malnutrition through PNI assessment on mortality rate and survival time with 5-year follow-up in Chinese centenarians. METHODS: A household survey was conducted on the centenarians in 18 cities and counties of Hainan province, and malnutrition was evaluated by PNI as an effective tool in 423 centenarians followed up for 5-year. RESULTS: Prevalence of malnutrition was 19.4%. Body mass index (BMI) was significantly lower and malnutrition was significantly more in the dead group than those in the survival group (all P < 0.05). Multivariate Cox regression analysis indicated that BMI [Hazard ratio (HR): 0.913; 95%CI: 0.854-0.977] negatively affected mortality rate, whereas malnutrition (HR: 2.630; 95%CI:1.474-4.695) positively affected mortality rate in centenarians (all P < 0.05). When BMI was <18.5 kg/m2, malnutrition (HR: 4.401; 95%CI: 1.948-9.943) also positively affected mortality rate (P < 0.05). CONCLUSIONS: This prospective study with 5-year follow-up demonstrated that malnutrition had positive effect on mortality rate, especially when BMI was lower than 18.5 kg/m2, in Chinese centenarians. In order to reduce mortality rate and prolong survival time, it is essential to pay attention to malnutrition in elderly population.

Eficacia de la capacidad y la eficiencia pronósticas de la herramienta de inteligencia artificial Thoracic Care Suite de GE aplicada a la radiografía torácica de pacientes con neumonía COVID-19 / Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia

Objetivo: La rápida progresión de la neumonía COVID-19 puede implicar la necesidad de recurrir a sistemas de respiración asistida, como la ventilación mecánica no invasiva o la intubación endotraqueal. La introducción de herramientas que detecten la neumonía COVID-19 puede mejorar la atención sanitaria de los pacientes. Nuestro objetivo es evaluar la eficacia y la eficiencia de la herramienta de inteligencia artificial (IA) Thoracic Care Suite de GE Healthcare (que incorpora Lunit Insight CXR) para predecir la necesidad de recurrir a la respiración asistida en función de la progresión de la neumonía en la COVID-19 en radiografías torácicas consecutivas. Métodos: Se incluyó a pacientes ambulatorios con infección por SARS-CoV-2 confirmada, con hallazgos probables o indeterminados de neumonía COVID-19 en la radiografía torácica (RXT) y que necesitaron una segunda RXT debido a la evolución clínica desfavorable. En las 2RXT se evaluaron el número de campos pulmonares afectados mediante la herramienta de IA. Resultados: Se incluyó a 114 pacientes (57,4±14,2 años; 65 de ellos varones, el 57%) de forma retrospectiva; 15 pacientes (el 13,2%) precisaron respiración asistida. La progresión de la diseminación neumónica ≥0,5 campos pulmonares al día en comparación con el inicio de la neumonía, detectada mediante la herramienta TCS, cuadruplicó el riesgo de precisar respiración asistida. El análisis de los resultados de IA precisó 26 segundos. Conclusiones: Aplicar la herramienta de IA, Thoracic Care Suite, a la RXT de pacientes con neumonía COVID-19 nos permite predecir la necesidad de recurrir a la respiración asistida en menos de medio minuto.(AU)

Objective: Rapid progression of COVID-19 pneumonia may put patients at risk of requiring ventilatory support, such as non-invasive mechanical ventilation or endotracheal intubation. Implementing tools that detect COVID-19 pneumonia can improve the patient's healthcare. We aim to evaluate the efficacy and efficiency of the artificial intelligence (AI) tool GE Healthcare's Thoracic Care Suite (featuring Lunit Insight CXR, TCS) to predict the ventilatory support need based on pneumonic progression of COVID-19 on consecutive chest X-rays. Methods: Outpatients with confirmed SARS-CoV-2 infection, with chest X-ray (CXR) findings probable or indeterminate for COVID-19 pneumonia, who required a second CXR due to unfavorable clinical course, were collected. The number of affected lung fields for the 2CXRs was assessed using the AI tool. Results: One hundred fourteen patients (57.4±14.2 years; 65 of them were men, 57%) were retrospectively collected; and 15 (13.2%) required ventilatory support. Progression of pneumonic extension ≥ 0.5 lung fields per day compared to pneumonia onset, detected using the TCS tool, increased the risk of requiring ventilatory support by 4-fold. Analyzing the AI output required 26seconds of radiological time. Conclusions: Applying the AI tool, Thoracic Care Suite, to CXR of patients with COVID-19 pneumonia allows us to anticipate ventilatory support requirements requiring less than half a minute.(AU)

Treatment-prognostication-adjustment a new therapeutic idea by analyzing T cell immune checkpoint in tumor microenvironment by algorithm: A bibliometric analysis.

To evaluate the temporal and spatial distribution of the knowledge network about tumor microenvironment and prognoses and explore new research hot spots and trends. Articles and reviews on tumor microenvironment and prognoses in the Web of Science journal from January 1999 to April 2022 were included. We used the CiteSpace and VOSviewer software to analyze the knowledge network composed of journals, institutions, countries, authors, and keywords. Frontiers in Immunology, Cancers, and Frontiers in Oncology have published more than 10% of articles in this field. China and the United States have contributed the most articles. Fudan University and Sun Yat-Sen University are the most active institutions. The authors in this field work closely; Zhang Wei and Douglas have made outstanding contributions. The three main research areas of tumor microenvironment and prognoses are microenvironment, prognosis, and immunotherapy. Until 2020, the main keywords were endothelial growth factor and adhesion. In the past three years, survival analysis, immune cell infiltration, and prediction model have been used. It can be seen that the focus in this field has shifted from tumor cell behavior and directly related molecules to prognosis prediction and non-tumor cells in the microenvironment. The future research trend may be to study the changes in the tumor microenvironment to predict the prognosis and guide the treatment. VOSviewer, CiteSpace, and Microsoft Excel 2019 were used to conduct a comprehensive visual analysis of the research on tumor environment and prognoses and provide valuable reference materials for researchers.

Oncological and surgical outcomes of radical surgery in elderly colorectal cancer patients with intestinal obstruction.

Background: The treatment strategy for elderly colorectal cancer patients with intestinal obstruction remains controversial. The choice of reasonable treatment and surgical method directly affects perioperative safety and prognosis. This study investigated the safety and long-term efficacy of radical surgery in elderly colorectal cancer patients over 80 years old with intestinal obstruction. Methods: The clinicopathological data of elderly patients over 80 years old with intestinal obstruction who underwent colorectal cancer surgery from January 2012 to December 2021 were retrospectively collected and analysed. Patients were assigned to a radical group and a palliative group according to the surgical method. Propensity score matching (PSM) was performed to match patients in the radical group 1:1 with those in the palliative group. The perioperative-related indexes and prognosis were compared between the two groups. Results: A total of 187 patients were enrolled in this study. After PSM, 58 matched pairs were selected, and the radical and palliative groups were well balanced in terms of the clinical and surgical characteristics (P > 0.05). The proportion of patients transferred to the ICU after surgery in the radical group was significantly higher than that in the palliative group (17.2% vs. 5.2%, P = 0.039). In terms of postoperative complications, the incidence of grade 1-5 complications in the radical group was significantly higher than that in the palliative group (37.9% vs. 15.5%, P = 0.006); however, there was no significant difference in the incidence of grade 3-5 complications between the two groups (6.9% vs. 1.7%, P = 0.364). In addition, the complications were subclassified, and it was found that the incidence of gastrointestinal disorders (20.7% vs. 6.9%, P = 0.031) after surgery was significantly higher in the radical group. The 3-year OS rates were 55.2% and 22.6% in the radical and palliative groups, respectively (P < 0.001). Multivariate analysis revealed that radical surgery was an independent prognostic factor for OS (HR: 4.32; 95% CI, 1.93-12.45; P < 0.001). Conclusion: Although elderly colorectal cancer patients over 80 years of age with intestinal obstruction are more likely to be admitted to the ICU and develop more postoperative complications after radical surgery, long-term survival benefits can be achieved.

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.

Circulating choline levels are associated with prognoses in patients with pulmonary hypertension: a cohort study.

BACKGROUNDS: Mounting evidences have highlighted the association between metabolites and cardiovascular diseases. Our previous works have demonstrated that circulating metabolite, trimethylamine oxide, was associated with prognosis of patients with pulmonary hypertension (PH). Choline is a precursor of trimethylamine oxide and its role in PH remains unknown. Here, we aimed to validate the hypothesis that circulating choline levels were associated with prognoses in patients with PH. METHODS: Inpatients diagnosed with PH-defined as mean pulmonary arterial pressure ≥ 25 mmHg by right heart catheterisation-from Fuwai Hospital were enrolled after excluding relative comorbidities. Fasting blood samples were obtained to assess choline levels and other clinical variables. The primary endpoints were defined as death, escalation of targeted medication, rehospitalization due to heart failure, PH deterioration. The follow-up duration was defined as the time from the choline examination to the occurrence of outcomes or the end of the study. The associations between circulating choline levels and disease severity and prognoses were explored. RESULTS: Totally, 272 inpatients with PH were enrolled in this study. Patients were divided into high and low choline groups according to the 50th quartile of circulating choline levels, defined as 12.6 µM. After confounders adjustment, the high circulating choline levels were still associated with poor World Health Organization functional class, elevated N-terminal pro-B-type natriuretic peptide, and decreased cardiac output index indicating the severe disease condition. Moreover, elevated choline levels were associated with poor prognoses in PH patients even after adjusting for confounders (hazard ratio = 1.934; 95% CI, 1.034-3.619; P = 0.039). Subgroup analyses showed that choline levels predicted the prognosis of patients with pulmonary arterial hypertension but not chronic thromboembolic pulmonary hypertension. CONCLUSIONS: Choline levels were associated with disease severity and poor prognoses of patients with PH, especially in pulmonary arterial hypertension suggesting its potential biomarker role.

Conditional survival of stage III non-seminoma testis cancer patients.

PURPOSE: In many primaries other than non-seminoma testis cancer, the risk of death due to cancer decreases with increasing disease-free interval duration after initial diagnosis and treatment. This effect is known as conditional survival and is relatively unexplored in stage III non-seminoma patients, where it may matter most in clinical decision-making. We examined the effect of disease-free interval duration on overall survival in stage III non-seminoma patients. MATERIALS AND METHODS: Within the Surveillance, Epidemiology, and End Results Database (2004-2018), stage III non-seminoma patients were identified. Multivariable Cox regression analyses and conditional survival models were applied. RESULTS: Of 2,092 surgically treated stage III non-seminoma patients, 385 (18%) exhibited good vs. 558 (27%) intermediate vs. 1,149 (55%) poor prognosis. In multivariable Cox regression models, poor prognosis group independently predicted overall mortality (HR 3.3, P < 0.001). In conditional survival analyses based on 36 months' disease-free interval duration, 5-year overall survival estimates were as follows: good prognosis patients 96 vs. 89% at initial diagnosis without accounting for disease-free interval duration (Δ=+7); intermediate prognosis patients 94 vs. 85% at initial diagnosis without accounting for disease-free interval duration (Δ=+9); poor prognosis patients 94 vs. 65% at initial diagnosis without accounting for disease-free interval duration (Δ=+29). CONCLUSIONS: Conditional survival estimates based on 36 months' disease-free interval duration provide a more accurate and more optimistic outlook for stage III non-seminoma patients than predictions defined at initial diagnosis, without accounting for disease-free interval duration.

CCNB1 is a novel prognostic biomarker and promotes proliferation, migration and invasion in Wilms tumor.

BACKGROUND: Wilms tumour (WT) is a mixed type of embryonal tumour that usually occurs in early childhood. However, our knowledge of the pathogenesis or progression mechanism of WT is inadequate, and there is a scarcity of beneficial therapeutic strategies. METHODS: High-throughput RNA sequencing was employed in this study to identify differentially expressed genes (DEGs) in clinical tumor samples and matching normal tissues. The STRING database was utilized to build a protein-protein interaction (PPI) network, and the Cytohubba method was used to identify the top 10 highly related HUB genes. Then, the key genes were further screened by univariate COX survival analysis. Subsequently, the XCELL algorithm was used to evaluate the tumour immune infiltration. RT-PCR, WB, and IF were used to verify the expression level of key genes in clinical tissues and tumour cell lines. Finally, the function of the key gene was further verified by loss-of-function experiments. RESULTS: We initially screened 1612 DEGs, of which 1030 were up-regulated and 582 were down-regulated. The GO and KEGG enrichment analysis suggested these genes were associated with 'cell cycle', 'DNA replication'. Subsequently, we identified 10 key HUB genes, among them CCNB1 was strongly related to WT patients' overall survival. Multiple survival analyses showed that CCNB1 was an independent indicator of WT prognosis. Thus, we constructed a nomogram of CCNB1 combined with other clinical indicators. Single gene GSEA and immune infiltration analysis revealed that CCNB1 was associated with the degree of infiltration or activation status of multiple immune cells. TIDE analysis indicated that this gene was correlated with multiple key immune checkpoint molecules and TIDE scores. Finally, we validated the differential expression level of CCNB1 in an external gene set, the pan-cancer, clinical samples, and cell lines. CCNB1 silencing significantly inhibited the proliferation, migration, and invasive capabilities of WIT-49 cells, also, promoted apoptosis, and in turn induced G2 phase cell cycle arrest in loss-of-function assays. CONCLUSION: Our study suggests that CCNB1 is closely related to WT progression and prognosis, and serves as a potential target.

Textbook outcome contributes to long-term prognosis in older adults with gastric cancer.

PURPOSE: Textbook outcome (TO) is a composite quality measurement of short-term outcomes for evaluating surgical procedures. We investigated whether TO can be used to predict outcomes after curative gastric cancer (GC) surgery in older adults. METHODS: We retrospectively analyzed 492 consecutive patients who underwent curative gastrectomy for GC from 2005 to 2017. Among these, 141 advanced-age patients were eligible. The patients were divided into two groups: those who achieved TO (a-TO group) and those who failed to achieve TO (f-TO group). In accordance with previous reports, TO consisted of eight metrics. We evaluated the association between TO and long-term survival. RESULTS: TO was achieved 73 (52%) patients. The patients in the f-TO group had a significantly higher body mass index (P = 0.01), longer surgery time (P = 0.03), and more blood loss (P = 0.001). The metric with the lowest achievement rate was "no postoperative severe complication." The patients in the f-TO group had significantly shorter overall survival than those in the a-TO group (P = 0.03). Multivariable Cox regression analyses of overall survival revealed that an American Society of Anesthesiologists physical status classification of 3 (hazard ratio [HR], 3.28; 95% confidence interval [CI], 1.79-5.98; P < 0.0001) and f-TO (HR, 1.92; 95% CI, 1.09-3.39; P = 0.02) were significantly associated with poor overall survival. CONCLUSION: TO can be used to predict outcomes after curative GC surgery in patients of advanced age.

Factors influencing the prognosis of acute basilar artery occlusion patients treated endovascularly: the impact of treatment time window and preoperative symptoms.

Objective: The aim of this study was to examine the factors influencing the prognosis of patients diagnosed with acute basilar artery occlusion (BAO) who receive endovascular treatment. Our particular emphasis was on the predictive implications of the time window for treatment (from symptom onset to femoral artery puncture) and preoperative symptoms for prognosis. Methods: A retrospective analysis of data collected from 51 BAO patients who received endovascular treatment at the Neurosurgery Department of Jinhua Central Hospital from April 2018 to October 2021 was undertaken. The data included immediate post-interventional recanalization rates and the 90-day clinical prognoses of the patients. We used the Modified Rankin Scale (mRs) to categorize patients into two prognosis groups: a favorable prognosis group (mRs score ≤2) and an unfavorable prognosis group (mRs score >2). Preoperative symptoms were gauged using the Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) scores. A logistic regression analysis was conducted to identify risk factors affecting the prognosis of BAO patients following endovascular treatment. Results: The procedure resulted in complete recanalization in all patients (100%). However, four patients (7.8%) passed away during the postoperative hospitalization period. The remaining 47 patients were followed up for 3 months. It was found that 15 patients (31.91%) had a favorable prognosis, while 32 (68.09%) had an unfavorable prognosis. It was generally observed that patients with an unfavorable prognosis had notably higher preoperative GCS and NIHSS scores (p < 0.05). Logistic regression analysis revealed that preoperative symptom severity, as indicated by NIHSS score, and treatment time window were significant prognostic risk factors for patients undergoing endovascular treatment for BAO (p < 0.05). Conclusion: Endovascular intervention for BAO appears to be safe and effective, with greater likelihood of a favorable prognosis in patients treated within ≤6 h. The chances of favorable prognosis could potentially be linked to the severity of the patient's preoperative symptoms.

Interpreting and validating complexity and causality in lesion-symptom prognoses.

This paper considers the steps needed to generate pragmatic and interpretable lesion-symptom mappings that can be used for clinically reliable prognoses. The novel contributions are 3-fold. We first define and inter-relate five neurobiological and five methodological constraints that need to be accounted for when interpreting lesion-symptom associations and generating synthetic lesion data. The first implication is that, because of these constraints, lesion-symptom mapping needs to focus on probabilistic relationships between Lesion and Symptom, with Lesion as a multivariate spatial pattern, Symptom as a time-dependent behavioural profile and evidence that Lesion raises the probability of Symptom. The second implication is that in order to assess the strength of probabilistic causality, we need to distinguish between causal lesion sites, incidental lesion sites, spared but dysfunctional sites and intact sites, all of which might affect the accuracy of the predictions and prognoses generated. We then formulate lesion-symptom mappings in logical notations, including combinatorial rules, that are then used to evaluate and better understand complex brain-behaviour relationships. The logical and theoretical framework presented applies to any type of neurological disorder but is primarily discussed in relationship to stroke damage. Accommodating the identified constraints, we discuss how the 1965 Bradford Hill criteria for inferring probabilistic causality, post hoc, from observed correlations in epidemiology-can be applied to lesion-symptom mapping in stroke survivors. Finally, we propose that rather than rely on post hoc evaluation of how well the causality criteria have been met, the neurobiological and methodological constraints should be addressed, a priori, by changing the experimental design of lesion-symptom mappings and setting up an open platform to share and validate the discovery of reliable and accurate lesion rules that are clinically useful.

White Blood Cell Count Predicts Mortality in Patients with Spontaneous Intracerebral Hemorrhage.

BACKGROUND: The association between white blood cell (WBC) counts and mortality in patients with intracerebral hemorrhage (ICH) has not been established. The aim of this study is to determine whether higher WBC is associated with mortality at 90 days. METHODS: A retrospective observational study was conducted at two medical hospitals in China. Baseline WBC count on admission served as the primary predictor variable. Longitudinal WBC counts within the first week after admission were collected to assess the effects of WBC trajectory and the median and maximum WBC counts on outcomes following ICH. Associations of WBC count with outcomes were evaluated in multivariable regression analyses. RESULTS: We identified 3613 patients with ICH who met the inclusion criteria. After adjusting primary confounding variables, patients with increased WBC count had a significantly higher risk of 90-day mortality (p < 0.001 for trend). In the receiver operating characteristic analyses, the capacity for all-cause mortality prediction by WBC count on admission (area under the ROC curve (AUC) = 0.65) was superior to other important inflammatory markers, including neutrophil (AUC = 0.64) , lymphocyte (AUC = 0.57), albumin (AUC = 0.57), and platelet count (AUC = 0.53), p < 0.001 for WBC vs. neutrophil, and the median WBC count (AUC = 0.66) within the first week after admission was a better marker than admission WBC count (p = 0.02). CONCLUSIONS: In patients with ICH, WBC count on admission was associated with all-cause mortality at 90 days. Additionally, the median and maximum WBC counts within the first week after admission showed better predictive ability for the 90-day mortality compared with the WBC count on admission.

A neutrophil/lymphocyte Ratio as a Significant Predictor for Patients with low-risk and early-stage Extranodal NK-T-cell Lymphoma.

Purpose: The neutrophil/lymphocyte ratio (NLR) is a novel prognostic marker in several malignancies, whereas its function in patients with early-stage extranodal NK-T-cell lymphoma (ENKTL) hasn't been explored. Therefore, we expolored the predictive value of NLR for early-stage ENKTL in this study. Methods: We evaluated the prognostic value of NLR in 132 patients with early-stage ENKTL based on L-asparaginase-containing regimens. Their characteristics, treatment responses, survival outcomes, prognostic factors, and the prognostic value of NLR were analyzed. Results: All patients were followed up for median 54 months. The optimal NLR cutoff value was 3.77 by receiver operating curve(ROC). For all patients, the complete response (CR) and the overall response rate (ORR) were 74.2% and 85.6%. Patients with NLR < 3.77 had higher CR and ORR than patients with NLR ≥ 3.77(CR, 81% vs. 53.1%; ORR, 90% vs. 71.9%). For all patients, the 3-year overall survival (OS) and progression-free survival (PFS) based on L-asparaginase-containing chemotherapy were 80.4% and 76%. Patients with NLR < 3.77 had better survival outcomes than patients with NLR ≥ 3.77(3-year OS, 86.9% vs. 60.3%, p = 0.002; 3-year PFS, 81.8% vs. 54.5%, p = 0.001). By univariate and multivariate analyses, NLR ≥ 3.77 was an independent poor prognostic factor for both OS and PFS. Additionally, NLR ≥ 3.77 was associated with poor survival outcomes in patients with low-risk International Prognostic Index (IPI) and Prognostic Index of Natural Killer lymphoma with Epstein-Barr virus (PINK-E). Conclusion: A high NLR is a poor prognostic marker of survival in patients with early-stage ENKTL, and could be applied to risk-stratify for low-risk patients.

Comparison of the clinical efficacies of two L-asparaginase-based chemotherapy regimens for newly diagnosed nasal-type extranodal NK/T-cell lymphoma.

BACKGROUND: Nasal-type extranodal natural killer (NK)/T cell lymphoma (ENKTL) is a rare and aggressive type of lymphoma. The optimal chemotherapy regimen for ENKTL has not yet been established. In this study, we compared the LVDP (L-asparaginase, etoposide, dexamethasone, and cisplatin) and GLIDE (gemcitabine, L-asparaginase, ifosfamide, dexamethasone, and etoposide) chemotherapy regimens for the treatment of ENKTL. METHODS: A total of 267 patients with newly diagnosed ENKTL were included in this retrospective study. Propensity score matching (PSM) was used to adjust for confounders between the LVDP and GLIDE groups. Treatment responses, survival outcomes, and toxicities between the two groups were compared before and after PSM. RESULTS: At the end of therapy, the objective response rate (ORR) and complete response (CR) were 83.5% and 62.2%, respectively, for all patients. The ORR and CR were 85.5% and 62.2% for the LVDP group compared with 79.3% and 62.2% for the GLIDE group, respectively, and no differences between the two groups were found (ORR, p = 0.212; CR, p = 0.996). With a median 71 months follow-up, the 5-year progression-free survival (PFS) and overall survival (OS) rates were 64.3% and 68.5%, respectively. The 5-year PFS and OS were 65.6% and 70.1% for the LVDP group compared with 61.6% and 64.6% for the GLIDE group, respectively (PFS, p = 0.478; OS, p = 0162). After PSM, no significant differences in short-term efficacy (ORR, p = 0.696; CR, p = 0.264) or long-term efficacy (PFS, p = 0.794; OS, p = 0.867) between the two groups were identified. However, treatment-related toxicities were milder in the LVDP group compared to the GLIDE group, even after adjusting for confounders via PSM. CONCLUSION: In conclusion, both LVDP and GLIDE regimens are effective for the treatment of ENKTL. However, the LVDP regimen is safer than the GLIDE regimen, with milder treatment-related toxicities. Therefore, the LVDP regimen could be a preferable option for patients with ENKTL.

Effect of Stereotactic Body Radiation Therapy on Diverse Organ Lesions in Advanced Non-Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors.

OBJECTIVE: The combination of stereotactic body radiation therapy (SBRT) and immune checkpoint inhibitors (ICIs) is actively being explored in advanced non-small-cell lung cancer (NSCLC) patients. However, little is known about the optimal fractionation and radiotherapy target lesions in this scenario. This study investigated the effect of SBRT on diverse organ lesions and radiotherapy dose fractionation regimens on the prognosis of advanced NSCLC patients receiving ICIs. METHODS: The medical records of advanced NSCLC patients consecutively treated with ICIs and SBRT were retrospectively reviewed at our institution from Dec. 2015 to Sep. 2021. Patients were grouped according to radiation sites. Progression-free survival (PFS) and overall survival (OS) were recorded using the Kaplan-Meier method and compared between different treatment groups using the log-rank (Mantel-Cox) test. RESULTS: A total of 124 advanced NSCLC patients receiving ICIs combined with SBRT were identified in this study. Radiation sites included lung lesions (lung group, n=43), bone metastases (bone group, n=24), and brain metastases (brain group, n=57). Compared with the brain group, the mean PFS (mPFS) in the lung group was significantly prolonged by 13.3 months (8.5 months vs. 21.8 months, HR=0.51, 95%CI: 0.28-0.92, P=0.0195), and that in the bone group prolonged by 9.5 months with a 43% reduction in the risk of disease progression (8.5 months vs. 18.0 months, HR=0.57, 95%CI: 0.29-1.13, P=0.1095). The mPFS in the lung group was prolonged by 3.8 months as compared with that in the bone group. The mean OS (mOS) in the lung and bone groups was longer than that of the brain group, and the risk of death decreased by up to 60% in the lung and bone groups as compared with that of the brain group. When SBRT was concurrently given with ICIs, the mPFS in the lung and brain groups were significantly longer than that of the bone group (29.6 months vs. 16.5 months vs. 12.1 months). When SBRT with 8-12 Gy per fraction was combined with ICIs, the mPFS in the lung group was significantly prolonged as compared with that of the bone and brain groups (25.4 months vs. 15.2 months vs. 12.0 months). Among patients receiving SBRT on lung lesions and brain metastases, the mPFS in the concurrent group was longer than that of the SBRT→ICIs group (29.6 months vs. 11.4 months, P=0.0003 and 12.1 months vs. 8.9 months, P=0.2559). Among patients receiving SBRT with <8 Gy and 8-12 Gy per fraction, the mPFS in the concurrent group was also longer than that of the SBRT→ICIs group (20.1 months vs. 5.3 months, P=0.0033 and 24.0 months vs. 13.4 months, P=0.1311). The disease control rates of the lung, bone, and brain groups were 90.7%, 83.3%, and 70.1%, respectively. CONCLUSION: The study demonstrated that the addition of SBRT on lung lesions versus bone and brain metastases to ICIs improved the prognosis in advanced NSCLC patients. This improvement was related to the sequence of radiotherapy combined with ICIs and the radiotherapy fractionation regimens. Dose fractionation regimens of 8-12 Gy per fraction and lung lesions as radiotherapy targets might be the appropriate choice for advanced NSCLC patients receiving ICIs combined with SBRT.

A controlling nutritional status score is an independent predictor for patients with newly diagnosed nasal-type extranodal NK/T-cell lymphoma based on asparaginase-containing regimens.

BACKGROUND: The controlling nutritional status (CONUT) score is a nutritional index that combines serum albumin, total cholesterol, and lymphocyte counts. The potential value of CONUT score for predicting clinical outcomes in patients with nasal-type extranodal NK/T-cell lymphoma (ENKTL) has not been explored. METHODS: This study included 374 ENKTL patients treated with asparaginase-containing regimens from September 2012 to September 2017. Clinical characteristics, treatment efficacy, prognostic factors, and the predictive value of CONUT score were analyzed. RESULTS: The complete response (CR) and overall response rate (ORR) were 54.8% and 74.6%, respectively. Patients with CONUT scores <2 had higher CR and ORR compared to patients with scores ≥2 (69.1% vs. 48.9% for CR, p = 0.001; 90.0% vs. 74.6% for ORR, p < 0.001). The 5-year overall survival (OS) and progression-free survival (PFS) rates were 61.9% and 57.3%, respectively. Patients with CONUT scores <2 had better survival outcomes than those with scores ≥2 (5-year OS, 76.1% vs. 56.0%, p < 0.001; 5-year PFS, 74.4% vs. 50.1%, p < 0.001). CONUT score ≥2 was identified as an independent poor prognostic factor for both OS and PFS. A CONUT score ≥2 was also associated with poorer survival outcomes in low-risk ENKTL patients. CONCLUSION: A CONUT score ≥2 is a prognostic marker for poor survival in patients with ENKTL and could be used to stratify risk in low-risk patients.

Central nervous system involvement at initial diagnosis of extranodal NK/T-cell lymphoma: a retrospective study of a consecutive 12-year case series.

Patients with central nervous system (CNS) involvement at initial diagnosis of extranodal NK/T-cell lymphoma (ENKTL) are exceedingly rare, and the clinicopathologic features of CNS involvement have not been well characterized. In this study, we reviewed 662 patients with ENKTL from August 2008 to September 2019. Their clinical and pathological features, treatments, and survival outcomes were analyzed. The median follow-up time was 72 months. Nine of 662 (1.4%) patients were diagnosed with CNS involvement. Among them, the median age was 37 years, and seven patients were male. All patients had positive EBV-DNA, and three patients were asymptomatic at the time of diagnosis with CNS involvement. Common extranodal involved sites included bone, paranasal sinuses, breast, kidney, adrenal gland, and bone marrow. All patients were positive for cytoplasmic CD3ε, cytotoxic granule proteins, and EBER and negative for CD20. All patients received intrathecal chemotherapy and at least one cycle of systemic chemotherapy. Seven patients had died and two were still alive by the last follow-up. The median overall survival (OS) in patients with CNS involvement at initial diagnosis of ENKTL was 9 months, and the 1-year OS was 44.4%. Five patients achieved a complete response after asparaginase-based chemotherapy; two were still alive, one died of systemic progression, one died of ENKTL-associated hemophagocytic syndrome, and one died of treatment-related infections. In conclusion, CNS involvement at initial diagnosis of ENKTL is extremely rare with poor prognosis. There is no standard treatment, and asparaginase-based chemotherapy combined with intrathecal chemotherapy might yield good efficacy.

[Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia]. / Eficacia de la capacidad y la eficiencia pronósticas de la herramienta de inteligencia artificial Thoracic Care Suite de GE aplicada a la radiografía torácica de pacientes con neumonía por COVID-19.

OBJECTIVE: Rapid progression of COVID-19 pneumonia may put patients at risk of requiring ventilatory support, such as non-invasive mechanical ventilation or endotracheal intubation. Implementing tools that detect COVID-19 pneumonia can improve the patient's healthcare. We aim to evaluate the efficacy and efficiency of the artificial intelligence (AI) tool GE Healthcare's Thoracic Care Suite (featuring Lunit INSIGHT CXR, TCS) to predict the ventilatory support need based on pneumonic progression of COVID-19 on consecutive chest X-rays. METHODS: Outpatients with confirmed SARS-CoV-2 infection, with chest X-ray (CXR) findings probable or indeterminate for COVID-19 pneumonia, who required a second CXR due to unfavorable clinical course, were collected. The number of affected lung fields for the two CXRs was assessed using the AI tool. RESULTS: One hundred fourteen patients (57.4 ± 14.2 years, 65 -57%- men) were retrospectively collected. Fifteen (13.2%) required ventilatory support. Progression of pneumonic extension ≥ 0.5 lung fields per day compared to pneumonia onset, detected using the TCS tool, increased the risk of requiring ventilatory support by 4-fold. Analyzing the AI output required 26 seconds of radiological time. CONCLUSIONS: Applying the AI tool, Thoracic Care Suite, to CXR of patients with COVID-19 pneumonia allows us to anticipate ventilatory support requirements requiring less than half a minute.