UNASSIGNED: Paraphenylenediamine is the main component in many commercial hair dyes, and can produce severe local and systemic toxicity reactions after acute ingestion or dermal absorption. The aim of this study was to assess the factors contributing to morbidity and mortality in cases of acute paraphenylenediamine poisoning, with a focus on evaluating the resultant hepatic and cardiac toxicity.
UNASSIGNED: This observational study was conducted on patients with acute paraphenylenediamine poisoning presenting to Sohag University Hospitals, and included a retrospective part from February 2021 to January 2022 and a prospective part from February 2022 to July 2022. Clinical data were extracted and receiver operating characteristic curves created to identify prognostic markers.
UNASSIGNED: Among 50 eligible patients 39 (78 percent) recovered, and 11 (22 percent) died or had permanent complications. Angioedema and anuria were the most frequent features in complicated cases. By receiver operating characteristic analysis, either an increase in aspartate aminotransferase activity greater than 644 IU/L or alanine aminotransferase activity greater than 798 IU/L, a time delay to presentation of greater than 4.5 hours, and a pH of less than 7.32 were associated with a significant increase in morbidity and mortality. While cardiac enzyme activities, and concentrations of blood urea nitrogen and creatinine increased in most cases, they were not associated with mortality.
UNASSIGNED: Management of patients with paraphenylenediamine poisoning is mainly supportive, as there is no specific antidote. Respiratory failure and kidney failure are the most life threatening complications. Hepatoxicity and cardiotoxicity also occur. The ability to predict the events can help guide patient disposition and care.
UNASSIGNED: Elevated liver enzyme activities, increased time delay to admission, decreased pH, and the presence of angioedema and anuria can be used as predictors of morbidity and mortality in patients with acute paraphenylenediamine poisoning.

Clear cell renal cell carcinoma (ccRCC) is a common and aggressive subtype of kidney cancer. Many patients are diagnosed at advanced stages, making early detection crucial. Unfortunately, there are currently no noninvasive tests for ccRCC, emphasizing the need for new biomarkers. Additionally, ccRCC often develops resistance to treatments like radiotherapy and chemotherapy. Identifying biomarkers that predict treatment outcomes is vital for personalized care. The integration of artificial intelligence (AI), multi-omics analysis, and computational biology holds promise in bolstering detection precision and resilience, opening avenues for future investigations. The amalgamation of radiogenomics and biomaterial-basedimmunomodulation signifies a revolutionary breakthrough in diagnostic medicine. This review summarizes existing literature and highlights emerging biomarkers that enhance diagnostic, predictive, and prognostic capabilities for ccRCC, setting the stage for future clinical research.

BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most prevalent malignant neoplasms in South Asia and a major public health problem in India. The purpose of the study was to identify correlations among various clinicopathological parameters of OSCC in a tertiary care center in the Eastern Uttar Pradesh population of North India. The study is imperative due to the scarcity of available data from this region.
METHODS: A retrospective observational study was conducted on the cases received in the Department of Pathology over the period of January 2021 to December 2021. The study analyzed cases of OSCC, focusing on various factors such as age, gender, habits, tumor site, tumor size, differentiation, tumor-stroma ratio, tumor-infiltrating lymphocytes, tumor budding, worst pattern of invasion, depth of invasion, perineural invasion, lymphovascular invasion, underlying bone and overlying skin involvement, regional lymph node metastasis, and overall two-year survival.
RESULTS: The mean age of the patients was 47.80 ± 12.48 years, and the male-to-female ratio was 15.6:1. Buccal mucosa was the most frequently affected site followed by the tongue. Fifty-six percent of cases reported with a history of tobacco abuse. Thirty-six percent of the patients had regional lymph node metastasis and exhibited a strong association with younger age, substance abuse, higher tumor size, tongue as a site, moderate-to-poor tumor differentiation, low tumor-infiltrating lymphocytes, and higher perineural and lymphovascular invasion. Moreover, at the end of the two-year survival analysis, 34% of patients succumbed to the disease. Overall survival was observed to be significantly better with <2 cm maximum tumor size, well-differentiated tumor morphology, higher tumor-infiltrating lymphocytes, and no nodal metastasis.
CONCLUSIONS: The study highlights the intricate correlations of various histopathological factors in OSCC, shedding light on their potential implications for prognosis.

BACKGROUND: Oral squamous cell carcinoma (OSCC) poses a significant healthcare challenge globally, necessitating precise biomarkers for effective management. Interleukin-6 (IL-6) in saliva has emerged as a potential biomarker, yet its dynamics post-chemotherapy and radiotherapy remain underexplored.
OBJECTIVE: The aim of our study is to investigate the longitudinal dynamics of salivary interleukin-6 (IL-6) expression in postoperative OSCC patients over a one-year follow-up period after chemotherapy and radiotherapy.
METHODS: This longitudinal study enrolled 60 participants, including postoperative OSCC patients and controls, collecting saliva samples over one year. RT-PCR and ELISA techniques measured IL-6 expression. Statistical analyses, including repeated measures ANOVA and univariate tests, evaluated IL-6 dynamics.
RESULTS: Pre-treatment, OSCC patients exhibited elevated IL-6 levels compared to controls. Post-therapy, IL-6 levels decreased significantly with p < .0001, indicating treatment response and further result to baseline normalizing at 6-month follow-up. Significant differences were observed across treatment stages, supporting IL-6 as a diagnostic and prognostic marker for OSCC. RT-PCR and ELISA results showed the statistical significance of IL-6\'s role as a predictive marker.
CONCLUSIONS: Salivary IL-6 emerges as a promising biomarker in OSCC management, necessitating further research to harness its diagnostic and therapeutic potential. By understanding IL-6 dynamics, personalized treatment approaches can be developed to improve patient outcomes. Longitudinal studies with larger cohorts and multi-omics approaches are warranted to validate findings and identify novel therapeutic targets.

UNASSIGNED: Remdesivir is currently approved for treating hospitalised patients with COVID-19. However, it is a priority to monitor its safety and effectiveness in various clinical settings. This study was undertaken to assess the impact of remdesivir on inflammatory and prognostic markers of COVID-19.
UNASSIGNED: A hospital-based prospective longitudinal study was conducted over two months comprising event monitoring of COVID-19 patients administered remdesivir as per standard guidelines. The demographic details, risk factors and all baseline parameters were collected. The patients were followed up for the appearance of any adverse drug reactions (ADRs) after the start of remdesivir therapy from Day 1 to discharge or death every day. Repeat Lab tests were done on days 2, 4, 6 and 10 days to assess the impact of remdesivir on inflammatory and prognostic markers of COVID-19 over time. Significant predictors of survival in the cohort were also assessed.
UNASSIGNED: A total of 60 COVID-19 patients were administered remdesivir. The mean age of the patients was 59.2 (+13.7) years. There was a significant improvement in the serum creatinine (decreased from 0.9 to 0.7 mg/dL), lymphocyte count {decreased from 9.2 to 7.3 (109 cells/L)} and serum sodium (increased from 134.6 to 137.4) of the patients over six days after the administration of remdesivir. The significant survival predictors were multiple organ failure (P 0.046) and WBC count on Day 10 (P 0.001).
UNASSIGNED: Remdesivir administration improved the prognostic biomarker profile in COVID-19 patients.

Several studies evaluating Ki67 in canine cutaneous mast cell tumors (cMCTs) have reported its prognostic value when tumors of all histological grades are included. This study aims to evaluate whether the Ki67 index has a predictive value in a homogeneous cohort of G2/LG cMCTs with HN2 lymph nodes (LNs) and to describe the clinical outcome. The second goal was to explore the correlation between the Ki67 index and MC. The medical databases of three institutions were retrospectively searched for dogs undergoing surgical treatment for cMCT and LN extirpation, with a histological diagnosis of G2/LG with HN2 LNs. Information about histological margins, MC, Ki67 index, local recurrence, nodal relapse, distant metastasis, de novo cMCT occurrence and date and cause of death were included. A total of 39 cases were identified. None of these developed local and nodal relapse or metastatic distant disease. Median MC was 1 (0-2). Median Ki67 index was 3.5 (0.7-14.3). Ki67 and MC were not significantly correlated. At the end of the study, 32 (82%) dogs were alive, 7 (18%) dogs were dead from unrelated causes and 4 (10.2%) dogs were lost to follow-up. The median ST was not reached, and the mean was 893 days (104-2241 days). Considering the strict inclusion criteria, dogs affected by G2/LG with HN2 LNs treated with surgery alone may have a good oncologic outcome; the Ki67 index does not have prognostic impact.

BACKGROUND: Glioblastoma multiforme (GBM) is the most aggressive brain tumor that occurs in adults. In spite of prompt diagnosis and rapidly administered treatment, the survival expectancy is tremendously poor. Extensive research has been performed in order to establish factors to predict the outcome of GBM patients; however, worldwide accepted prognostic markers are still lacking.
METHODS: We retrospectively assessed all adult patients who were diagnosed with primary GBM and underwent surgical treatment during a three-year period (January 2017-December 2019) in the Neurosurgery Department of the Emergency Clinical County Hospital of Târgu Mureș, Romania. Our aim was to find any statistically relevant connections between clinical, imagistic, and histopathological characteristics and patients\' survival.
RESULTS: A total of 75 patients were eventually included in our statistical analysis: 40 males and 35 females, with a median age of 61 years. The mean tumor dimension was 45.28 ± 15.52 mm, while the mean survival rate was 4 ± 6.75 months. A univariate analysis demonstrated a statistically significant impact of tumor size, pre-, and postoperative KPSI on survival rate. In addition, a Cox multivariate assessment strengthened previous findings regarding postoperative KPSI (regression coefficient -0.03, HR 0.97, 95% CI (HR) 0.96-0.99, p = 0.002) as a favorable prognostic factor and GBM size (regression coefficient 0.03, HR 1.03, 95% CI (HR) 1.01-1.05, p = 0.005) as a poor prognostic marker for patients\' survival.
CONCLUSIONS: The results of our retrospective study are consistent with prior scientific results that provide evidence supporting the importance of clinical (quantified by KPSI) and imagistic (particularly tumor dimensions) features as reliable prognostic factors in GBM patients\' survival.

Patients with advanced non-small cell lung cancer (NSCLC) are a heterogeneous population with short lifespan. We aimed to develop methods to better differentiate patients whose survival was >90 days.
We evaluated 83 characteristics of 106 treatment-naïve, stage IV NSCLC patients with Eastern Cooperative Oncology Group Performance Status (ECOG-PS) >1. Automated machine learning was used to select a model and optimize hyperparameters. 100-fold bootstrapping was performed for dimensionality reduction for a second (\"lite\") model. Performance was measured by C-statistic and accuracy metrics in an out-of-sample validation cohort. The \"lite\" model was validated on a second independent, prospective cohort (N = 42). Network analysis (NA) was performed to evaluate the differences in centrality and connectivity of features.
The selected method was ExtraTrees Classifier, with C-statistic of 0.82 (p < 0.01) and accuracy of 0.81 (p = 0.01). The \"lite\" model had 16 variables and obtained C-statistic of 0.84 (p < 0.01) and accuracy of 0.75 (p = 0.039) in the first cohort, and C-statistic of 0.706 (p < 0.01) and accuracy of 0.714 (p < 0.01) in the second cohort. The networks of patients with lower survival were more interconnected. Features related to cachexia, inflammation, and quality of life had statistically different prestige scores in NA.
Machine learning can assist in the prognostic evaluation of advanced NSCLC. The model generated with a reduced number of features showed high accessibility and reasonable metrics. Features related to quality of life, cachexia, and performance status had increased correlation and importance scores, suggesting that they play a role at later disease stages, in line with the biological rationale already described.

BACKGROUND: In this study, we evaluated the prognostic value of Immunoscore in patients with stage I−III colon cancer (CC) in the Asian population. These patients were originally included in an international study led by the Society for Immunotherapy of Cancer (SITC) on 2681 patients with AJCC/UICC-TNM stages I−III CC. METHODS: CD3+ and cytotoxic CD8+ T-lymphocyte densities were quantified in the tumor and invasive margin by digital pathology. The association of Immunoscore with prognosis was evaluated for time to recurrence (TTR), disease-free survival (DFS), and overall survival (OS). RESULTS: Immunoscore stratified Asian patients (n = 423) into different risk categories and was not impacted by age. Recurrence-free rates at 3 years were 78.5%, 85.2%, and 98.3% for a Low, Intermediate, and High Immunoscore, respectively (HR[Low-vs-High] = 7.26 (95% CI 1.75−30.19); p = 0.0064). A High Immunoscore showed a significant association with prolonged TTR, OS, and DFS (p < 0.05). In Cox multivariable analysis stratified by center, Immunoscore association with TTR was independent (HR[Low-vs-Int+High] = 2.22 (95% CI 1.10−4.55) p = 0.0269) of the patient’s gender, T-stage, N-stage, sidedness, and MSI status. A significant association of a High Immunoscore with prolonged TTR was also found among MSS (HR[Low-vs-Int+High] = 4.58 (95% CI 2.27−9.23); p ≤ 0.0001), stage II (HR[Low-vs-Int+High] = 2.72 (95% CI 1.35−5.51); p = 0.0052), low-risk stage-II (HR[Low-vs-Int+High] = 2.62 (95% CI 1.21−5.68); p = 0.0146), and high-risk stage II patients (HR[Low-vs-Int+High] = 3.11 (95% CI 1.39−6.91); p = 0.0055). CONCLUSION: A High Immunoscore is significantly associated with the prolonged survival of CC patients within the Asian population.

BACKGROUND: Acetaminophen intoxication has become the leading cause of acute liver failure (ALF) in Europe and the USA.
OBJECTIVE: To identify early biomarkers in order to predict the development of ALF in a porcine model of acetaminophen intoxication.
METHODS: Six German Landrace pigs received a single acetaminophen bolus of 1 g/kg body weight via a jejunal catheter. Cytokines and laboratory parameters were analyzed at 8-hour intervals for a total of 40 h.
RESULTS: Three of the 6 animals survived the intoxication. The nonsurviving animals had an increase in serum lactate and interleukin (IL)-6, with a simultaneous decrease in prothrombin time (PT) and albumin concentration 8 h after intoxication. In all nonsurviving animals, elevated levels of tumor necrosis factor alpha (TNF-α) at baseline before intoxication and during the course of ALF were observed. The acetaminophen serum concentrations and toxicokinetics did not differ between the nonsurviving and surviving animals. Methemoglobinemia was proportional to the administered doses and acetaminophen blood levels, but methemoglobinemia did not affect survival.
CONCLUSIONS: Tumor necrosis factor alpha, IL-6, lactate, prothrombin time, and albumin blood concentration were identified as early predictors of outcome after acetaminophen intoxication. An elevated TNF-α level before acetaminophen exposure was the earliest prognostic marker for a lethal outcome. Therefore, it could serve as a very early indicator of prognosis.