Biomarkers as Prognostic Predictors and Therapeutic Guide in Critically Ill Patients: Clinical Evidence

Total adenosine deaminase cases as an inflammatory biomarker of pleural effusion syndrome

BACKGROUND

Although inflammatory diseases commonly affect the pleura and pleural space, their mechanisms of action remain unclear. The presence of several mediators emphasizes the concept of pleural inflammation. Adenosine deaminase (ADA) is an inflammatory mediator detected at increased levels in the pleural fluid.

AIM

To determine the role of total pleural ADA (P-ADA) levels in the diagnosis of pleural inflammatory diseases.

METHODS

157 patients with inflammatory pleural effusion (exudates, n = 124, 79%) and non-inflammatory pleural effusion (transudates, n = 33, 21%) were included in this observational retrospective cohort study. The P-ADA assay was tested using a kinetic technique. The performance of the model was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). The ideal cutoff value for P-ADA in pleural inflammation was determined using the Youden index in the ROC curve.

RESULTS

The transudates included congestive heart failure (n = 26), cirrhosis of the liver with ascites (n = 3), chronic renal failure (n = 3), and low total protein levels (n = 1). The exudate cases included tuberculosis (n = 44), adenocarcinoma (n = 37), simple parapneumonic effusions (n = 15), complicated parapneumonic effusions/empyema (n = 8), lymphoma (n = 7), and other diseases (n = 13). The optimal cutoff value of P-ADA was ≥ 9.00 U/L. The diagnostic parameters as sensitivity, specificity, positive and negative predictive values, positive and negative likelihood values, odds ratio, and accuracy were 77.69 (95%CI: 69.22-84.75); 68.75 (95%CI: 49.99-83.88); 90.38 and 44.90 (95%CI: 83.03-95.29; 30.67-59.77); 2.48 and 0.32 (95%CI: 2.21-11.2; 0.27-0.51); 7.65 (95%CI: 0.78-18.34), and 75.82 (95%CI: 68.24-82.37), respectively (χ² = 29.51, P = 0.00001). An AUC value of 0.8107 (95%CI: 0.7174-0.8754; P = 0.0000) was clinically useful. The Hosmer-Lemeshow test showed excellent discrimination.

CONCLUSION

P-ADA biomarker has high diagnostic performance for pleural inflammatory exudates.

CALML6 as a potential diagnostic marker for thyroid cancer promotes thyroid cancer cell proliferation via modulating the immune microenvironment

PURPOSE

CALML6 is an inflammation-related gene, and its expression may be associated with cancer. Here we evaluated the role of CALML6 expression in papillary thyroid carcinoma (PTC).

METHODS

We utilized databases such as The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression Project (GTEx) and UALCAN to evaluate the relationship between CALML6 expression and clinicopathological features in thyroid cancer. Immunohistochemical assays were used to observe CALML6 expression in thyroid cancer tissues. The role of CALML6 in PTC cells was investigated using RNA interference.

RESULTS

We found CALML6 expression was lower than normal and associated with extrathyroidal extension, lymph node metastasis, pathological T stage, tall cell PTC and the expressions of immune checkpoint genes CD274 and PDCD1LG2 in THCA. Additionally, Immunohistochemical staining showed that CALML6 expression was significantly upregulated in thyroid cancer tissues. RNAi analysis showed that CALML6 knockdown significantly reduced cell growth and blocked the cell cycle of PTC cells.

CONCLUSIONS

Our results suggest that CALML6 may be a novel diagnostic marker for PTC that is closely associated with the invasive and tall cell subtypes, and it may be a potential target for immunotherapy.

The efficacy of novel biomarkers for the early detection and management of acute kidney injury: A systematic review

Acute kidney injury (AKI) is a frequent clinical complication lacking early diagnostic tests and effective treatments. Novel biomarkers have shown promise for enabling earlier detection, risk stratification, and guiding management of AKI. We conducted a systematic review to synthesize evidence on the efficacy of novel biomarkers for AKI detection and management. Database searches yielded 17 relevant studies which were critically appraised. Key themes were biomarker efficacy in predicting AKI risk and severity before functional changes; potential to improve clinical management through earlier diagnosis, prognostic enrichment, and guiding interventions; emerging roles as therapeutic targets and prognostic tools; and ongoing challenges requiring further validation. Overall, novel biomarkers like neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and cell cycle arrest markers ([TIMP-2] •[IGFBP7]) demonstrate capability for very early AKI prediction and accurate risk stratification. Their incorporation has potential to facilitate timely targeted interventions and personalized management. However, factors influencing biomarker performance, optimal cutoffs, cost-effectiveness, and impact on patient outcomes require robust validation across diverse settings before widespread implementation. Addressing these limitations through ongoing research can help translate novel biomarkers into improved detection, prognosis, and management of AKI in clinical practice.

Metabolic consequences of erastin-induced ferroptosis in human ovarian cancer cells: an untargeted metabolomics study

Introduction

Ovarian cancer has been difficult to cure due to acquired or intrinsic resistance and therefore, newer or more effective drugs/approaches are needed for a successful treatment in the clinic. Erastin (ER), a ferroptosis inducer, kills tumor cells by generating and accumulating reactive oxygen species (ROS) within the cell, resulting in an iron-dependent oxidative damage-mediated ferroptotic cell death.

Methods

We have utilized human ovarian cancer cell lines, OVCAR-8 and its adriamycin-selected, multi-drug resistance protein (MDR1)-expressing NCI/ADR-RES, both equally sensitive to ER, to identify metabolic biomarkers of ferroptosis.

Results

Our studies showed that ER treatment rapidly depleted cellular glutathione and cysteine and enhanced formation of ophthalamate (OPH) in both cells. Opthalalmate has been proposed to be a biomarker of oxidative stress in cells. Our study also found significant decreases in cellular taurine, a natural antioxidant in cells. Additionally, we found that ER treatment decreased cellular levels of NAD+/NADP+, carnitines and glutamine/glutamate in both cells, suggesting significant oxidative stress, decrease in energy production, and cellular and mitochondrial disfunctions, leading to cell death.

Conclusion

Our studies identified several potential biomarkers of ER-induced ferroptosis including OPH, taurine, NAD+, NADP+ and glutamate in ovarian cancer cells. Identifying specific metabolic biomarkers that are predictive of whether a cancer is susceptible to ferroptosis will help us devise more successful treatment modalities.

Genetic Diversity Landscape in African Population: A Review of Implications for Personalized and Precision Medicine

Introduction

Africa, a continent considered to be the cradle of human beings has the largest genetic diversity among its population than other continents. This review discusses the implications of this high African genetic diversity to the development of personalized and precision medicine.

Methodology

A comprehensive search across PubMed, Google Scholar, Science Direct, DOAJ, AJOL, and the Cochrane Library electronic databases and manual Google searches was conducted using key terms "genetics", "genetic diversity", "Africa", "precision medicine", and "personalized medicine". Updated original and review studies focusing on the implications of African high genetic diversity on personalized and precision medicine were included. Included studies were thematically synthesized to elucidate their positive or negative implications for personalized healthcare, aiming to foster informed clinical practice and scientific inquiry.

Results

African populations' high genetic diversity presents opportunities for personalized and precision medicine including improving pharmacogenomics, understanding gene interactions, discovering new variants, mapping disease genes, creating updated genomic reference panels, and validating biomarkers. However, challenges include underrepresentation in studies, scarcity of reference genomes, inaccuracy of genetic testing and interpretation, and ancestry misclassification. Addressing these requires the establishment of genomic research centers, increasing funding, creating biobanks and repositories, education, infrastructure, and international cooperation to enhance healthcare equity and outcomes through personalized and precision medicine.

Conclusion

High African genetic diversity presents both positive and negative implications for personalized and precision medicine. Deep further research is recommended to harness the challenges and use the opportunities to develop customized treatments.

[Initial diagnosis and treatment of shock]

BACKGROUND

Structured procedures have been established internationally for the initial clinical care of patients with traumatic injuries. Comparable concepts have not yet been applied to the initial clinical care of life-threatening nontraumatic emergencies. In 2022, a working group of the German Society for Acute and Emergency Medicine (DGINA) presented the Advanced Critical Illness Life Support (ACiLS) concept for the care of nontraumatic emergencies and offers corresponding training courses.

OBJECTIVE

To present systematic clinical first aid for patients with the leading symptom of shock according to the ACiLS concept.

RESULT

The (PR_E-)AUD2IT basic algorithm used in the ACiLS concept divides the initial care of a critically ill patient into the elements of preparation, resources, initial care, medical history, examination, differential diagnosis, diagnostics, interpretation and to do, interrupted by three team time-out elements for structured communication. The use of this concept is demonstrated here using the example of shock.

CONCLUSION

The ACiLS concept has the potential to improve the quality of initial care of nontraumatic emergencies in emergency department shock rooms and intensive care units. Further evaluations in practice and training capacities are essential.

Predictive Biomarkers for the Early Detection of Anastomotic Leaks in Colorectal Surgeries: A Systematic Review

Anastomotic leaks (ALs) remain a serious postoperative complication in colorectal surgery, often resulting in significant morbidity, prolonged hospitalization, and increased mortality risk. This systematic review aims to evaluate the role of predictive biomarkers in the early detection of ALs, focusing on their diagnostic accuracy and clinical utility. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive literature search was conducted across MEDLINE, Scopus, CENTRAL, and Web of Science, identifying studies that examined biomarkers such as C-reactive protein (CRP), procalcitonin (PCT), and white blood cell (WBC) count in the context of AL. A total of 20 studies met the inclusion criteria, with sample sizes ranging from 59 to 2,655 patients undergoing colorectal surgeries with primary anastomosis. CRP emerged as the most widely studied and reliable biomarker, with studies suggesting that elevated CRP levels, particularly on postoperative days 3-4, can effectively indicate AL risk, showing high negative predictive value. PCT has also shown promise as a complementary biomarker, offering enhanced specificity for infectious complications. Although WBC count alone was a limited predictor, it may add diagnostic value when used with other markers. In addition, innovative biomarkers, such as inflammatory indices in peritoneal fluid, demonstrated potential for further improving AL detection accuracy.

Impact of different intravenous bolus rates on fluid and electrolyte balance and mortality in critically ill patients

The effect of intravenous bolus rates on patient outcomes is a complex and crucial aspect of critical care. Fluid challenges are commonly used in critically ill patients to manage their hemodynamic status, but there is limited information available on the specifics of when, how much, and at what rate fluids should be administered during these challenges. The aim of this review is to thoroughly examine the relationship between intravenous bolus rates, fluid-electrolyte balance, and mortality and to analyze key research findings and methodologies to understand these complex dynamics better. Fluid challenges are commonly employed in managing hemodynamic status in this population, yet there is limited information on the optimal timing, volume, and rate of fluid administration. Utilizing a narrative review approach, the analysis identified nine relevant studies that investigate these variables. The findings underscore the importance of a precise and individualized approach in clinical settings, highlighting the need to tailor intravenous bolus rates to each patient's specific needs to maximize outcomes. This review provides valuable insights that can inform and optimize clinical practices in critical care, emphasizing the necessity of meticulous and exact strategies in fluid administration.

Current Pharmaceutical Strategies in the Management of Persistent Pulmonary Hypertension of the Newborn (PPHN): A Comprehensive Review of Therapeutic Agents

Persistent Pulmonary Hypertension of the Newborn (PPHN) is a life-threatening condition characterized by the failure of normal circulatory transition after birth, leading to sustained pulmonary hypertension and severe hypoxemia. Despite advancements in neonatal care, PPHN remains a significant cause of morbidity and mortality among newborns, particularly in full-term and near-term infants. This review provides a comprehensive overview of current pharmaceutical strategies for managing PPHN, focusing on various therapeutic agents' mechanisms, efficacy, and safety. Key interventions include inhaled nitric oxide, which has become the standard treatment for reducing pulmonary vascular resistance, alongside prostacyclin analogs, phosphodiesterase inhibitors, and endothelin receptor antagonists. Additionally, extracorporeal membrane oxygenation (ECMO) is highlighted as a critical intervention for severe, refractory cases. The review also discusses emerging therapies and the potential role of personalized medicine in improving treatment outcomes. Despite the progress made, challenges remain, including the timely diagnosis of PPHN and the need for accessible treatments in resource-limited settings. As research continues to uncover the underlying pathophysiology of PPHN, it is crucial to develop more targeted and effective pharmaceutical strategies. This review aims to inform clinicians and researchers of the current state of PPHN management and the ongoing advancements that may shape future therapeutic approaches.

Negative and Positive Predictors of Anastomotic Leakage in Colorectal Cancer Patients-The Case of Neutrophil-to-Lymphocyte Ratio

Colorectal surgery for cancer is associated with a high rate of surgical complications, including anastomotic leakage. The ability to predict the risk of leakage early enough seems to be of high value, since it would facilitate the design of personalized treatment and duration of hospitalization. Although different studies present the neutrophil-to-lymphocyte ratio [NLR] as having a strong predictive value, there is a discrepancy with respect to which postoperative day is the most reliable. We evaluated a series of NLR values, from the day before surgery up to the POD7, in a cohort of 245 colorectal surgery patients in order to clarify the best predictable score for the identification of the risk of anastomotic leakage. There were 28 patients with leaks. ROC curve analysis of NLR on POD1 indicates that a cut-off point ≥ 7.4 exerts a negative prediction for leakage (AUC 0.881, sensitivity 68.7%, specificity 96.4%, PPV 28.4%, and NPV of 99.3%), thus excluding 150 patients from the risk of leakage. Furthermore, the ROC curve analysis of NLR on POD4 indicates that a cut-off point ≥ 6.5 gives a positive prediction of leakage (AUC 0.698, sensitivity 82.1%, specificity 51.6%, PPV 17.6%, and NPV of 95.6%), thus indicating 52 patients as being at high risk of leakage. Finally, NLR failed to identify five leaks out of twenty-eight. These results strongly indicate the ability of NLR on POD1 to predict patients at low risk of developing a leak and then on POD4 to predict the high-risk patients. This makes our study particularly innovative, in that it enables doctors to concentrate on potential high-risk patients from POD1.

Sepsis Biomarkers: Advancements and Clinical Applications-A Narrative Review

Sepsis is now defined as a life-threatening syndrome of organ dysfunction triggered by a dysregulated host response to infection, posing significant challenges in critical care. The main objective of this review is to evaluate the potential of emerging biomarkers for early diagnosis and accurate prognosis in sepsis management, which are pivotal for enhancing patient outcomes. Despite advances in supportive care, traditional biomarkers like C-reactive protein and procalcitonin have limitations, and recent studies have identified novel biomarkers with increased sensitivity and specificity, including circular RNAs, HOXA distal transcript antisense RNA, microRNA-486-5p, protein C, triiodothyronine, and prokineticin 2. These emerging biomarkers hold promising potential for the early detection and prognostication of sepsis. They play a crucial role not only in diagnosis but also in guiding antibiotic therapy and evaluating treatment effectiveness. The introduction of point-of-care testing technologies has brought about a paradigm shift in biomarker application, enabling swift and real-time patient evaluation. Despite these advancements, challenges persist, notably concerning biomarker variability and the lack of standardized thresholds. This review summarizes the latest advancements in sepsis biomarker research, spotlighting the progress and clinical implications. It emphasizes the significance of multi-biomarker strategies and the feasibility of personalized medicine in sepsis management. Further verification of biomarkers on a large scale and their integration into clinical practice are advocated to maximize their efficacy in future sepsis treatment.

MicroRNA Expression Profile in Patients Admitted to ICU as Novel and Reliable Approach for Diagnostic and Therapeutic Purposes

The ability to detect early metabolic changes in patients who have an increased mortality risk in the intensive care units (ICUs) could increase the likelihood of predicting recovery patterns and assist in disease management. Markers that can predict the disease progression of patients in the ICU might also be beneficial for improving their medical profile. Although biomarkers have been used in the ICU more frequently in recent years, the clinical use of most of them is limited. A wide range of biological processes are influenced by microRNAs (miRNAs) that modulate the translation and stability of specific mRNAs. Studies suggest that miRNAs may serve as a diagnostic and therapeutic biomarker in ICUs by profiling miRNA dysregulation in patient samples. To improve the predictive value of biomarkers for ICU patients, researchers have proposed both investigating miRNAs as novel biomarkers and combining them with other clinical biomarkers. Herein, we discuss recent approaches to the diagnosis and prognosis of patients admitted to an ICU, highlighting the use of miRNAs as novel and robust biomarkers for this purpose. In addition, we discuss emerging approaches to biomarker development and ways to improve the quality of biomarkers so that patients in ICU get the best outcomes possible.

The Effect of Probiotics on the Prognostication of the Neutrophil-to-Lymphocyte Ratio in Severe Multi-Trauma Patients

BACKGROUND

The ratio of neutrophils to lymphocytes [NLR] is one of the most accepted prognostic indices and demonstrates a positive correlation with the severity of a disease. Given that probiotics exerted immunomodulatory properties and thus positively affected lymphocytopenia induction in severely ill patients, we performed a post hoc analysis in the ProVAP protocol to investigate whether probiotics affected the prognostication of NLR in respect to ventilator-associated pneumonia in multi-trauma patients. This cohort mandatorily involved severe traumatic brain injury patients.

METHODS

The white blood cell data of all patients, after being retrieved for the days 0 and 7, were statistically assessed in respect to neutrophils, lymphocytes and NLR among the 4 sub-groups of the study: placebo/no-VAP, placebo/VAP, probiotics/no-VAP, and probiotics/VAP.

RESULTS

Lymphopenia was dominant in placebo sub-groups, while an increased level of lymphocytes was prominent in probiotics sub-groups. This resulted in an increase [p = 0.018] in the NLR value in the probiotics/VAP group in relation to the probiotics/no-VAP cohort; this was an increase of half the value of the placebo/VAP [p < 0.001], while the NLR value in placebo/no-VAP group increased almost four-fold in relation to probiotics/no-VAP [p < 0.001]. Additionally, the ROC curve for probiotic-treated patients revealed a NLR7 cut-off value of 7.20 as a prognostic factor of VAP (AUC: 78.6%, p = 0.015, 95% CI: 62.6-94.5%), having a high specificity of 90.2% and a sensitivity of 42.9%.

CONCLUSIONS

NLR may considered a credible prognostic biomarker in multi-trauma patients since it can evaluate the immunomodulatory benefits of probiotic treatment. However, the results of the present post hoc analysis should be interpreted meticulously until further evaluation, since they may be basically species- or strain-specific.

A Comprehensive Review on Serum Ferritin as a Prognostic Marker in Intensive Care Units: Insights Into Ischemic Heart Disease

Serum ferritin has garnered considerable attention as a prognostic marker in intensive care units (ICUs), offering valuable insights into patient outcomes and clinical management strategies. This comprehensive review examines the role of serum ferritin in predicting outcomes among critically ill patients, with a particular focus on its implications for ischemic heart disease (IHD). Elevated serum ferritin levels have consistently been associated with adverse outcomes in ICU settings, including increased mortality, prolonged hospital stays, and higher morbidity rates. Furthermore, the relationship between serum ferritin levels and IHD underscores its potential as a biomarker for cardiovascular risk assessment in critically ill populations. The review synthesizes existing literature to highlight the predictive value of serum ferritin in assessing illness severity and guiding clinical decision-making in the ICUs. It also explores potential mechanisms linking serum ferritin to adverse outcomes and discusses implications for clinical practice. Integrating serum ferritin measurements into routine assessments could enhance prognostication and risk stratification in ICU patients, while further research is needed to elucidate optimal management strategies and therapeutic targets. Collaborative efforts between clinicians and researchers are essential to advance our understanding of serum ferritin's prognostic value in the ICUs and translate this knowledge into improved patient care and outcomes.

Usefulness of Procalcitonin Levels for Predicting the Microbiological Orientation in Patients with Sepsis

The main objective of the study was to verify whether levels of procalcitonin (PCT) could guide us toward determining the type of bacteria causing the sepsis and to identify the discriminatory cut-off point in the first urgent laboratory test. This study is a single center retrospective analysis that includes 371 patients with a mean age of 71.7 ± 15.6 years who were diagnosed with sepsis or septic shock. The yield of blood cultures in demonstrating the causative microbiological agent was 24.3% (90), and it was 57, 1% (212) when evaluating all types of cultures. Statistically significant positive differences were observed in the mean value of the PCT between the group that obtained positive cultures and the group that did not (p < 0.0001). The AUC-ROC of PCT values as a guide to the causal bacteria type was 0.68 (95%CI: 0.57-0.78, p < 0.0021). The PCT value that showed the best diagnostic characteristics for identifying Gram-negative rods (GNR) as the causative agent in blood cultures was 2.1 ng/mL. The positive predictive value (PPV) was 78, 9% (66.3-88.1%). The AUC-ROC of the PCT values for sepsis diagnosis, with any positive culture that could be assessed, was 0.67 (95%CI: 0.63-0.73, p < 0.0001). The PCT value that showed the best diagnostic characteristic for predicting sepsis was 3.6 ng/mL.

Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies

Sepsis and septic shock are associated with high mortality, with diagnosis and treatment remaining a challenge for clinicians. Their management classically encompasses hemodynamic resuscitation, antibiotic treatment, life support, and focus control; however, there are aspects that have changed. This narrative review highlights current and avant-garde methods of handling patients experiencing septic shock based on the experience of its authors and the best available evidence in a context of uncertainty. Following the first recommendation of the Surviving Sepsis Campaign guidelines, it is recommended that specific sepsis care performance improvement programs are implemented in hospitals, i.e., "Sepsis Code" programs, designed ad hoc, to achieve this goal. Regarding hemodynamics, the importance of perfusion and hemodynamic coherence stand out, which allow for the recognition of different phenotypes, determination of the ideal time for commencing vasopressor treatment, and the appropriate fluid therapy dosage. At present, this is not only important for the initial timing, but also for de-resuscitation, which involves the early weaning of support therapies, directed elimination of fluids, and fluid tolerance concept. Finally, regarding blood purification therapies, those aimed at eliminating endotoxins and cytokines are attractive in the early management of patients in septic shock.

Decrease in Mortality after the Implementation of a Hospital Model to Improve Performance in Sepsis Care: Princess Sepsis Code

Sepsis is a time-dependent disease whose prognosis is influenced by early diagnosis and therapeutic measures. Mortality from sepsis remains high, and for this reason, the guidelines of the Surviving Sepsis Campaign recommend establishing specific care programs aimed at patients with sepsis. We present the results of the application of a hospital model to improve performance in sepsis care, called Princess Sepsis Code, with the aim of reducing mortality. A retrospective study was conducted using clinical, epidemiological, and outcome variables in patients diagnosed with sepsis from 2015 to 2022. A total of 2676 patients were included, 32% of whom required admission to the intensive care unit, with the most frequent focus of the sepsis being abdominal. Mortality in 2015, at the beginning of the sepsis code program, was 24%, with a declining rate noted over the study period, with mortality reaching 17% in 2022. In the multivariate analysis, age > 70 years, respiratory rate > 22 rpm, deterioration in the level of consciousness, serum lactate > 2 mmol/L, creatinine > 1.6 mg/dL, and the focus of the sepsis were identified as variables independently related to mortality. The implementation of the Princess Sepsis Code care model reduces the mortality of patients exhibiting sepsis and septic shock.

Sepsis Stewardship: The Puzzle of Antibiotic Therapy in the Context of Individualization of Decision Making

The main recent change observed in the field of critical patient infection has been universal awareness of the need to make better use of antimicrobials, especially for the most serious cases, beyond the application of simple and effective formulas or rigid protocols. The increase in resistant microorganisms, the quantitative increase in major surgeries and interventional procedures in the highest risk patients, and the appearance of a significant number of new antibiotics in recent years (some very specifically directed against certain mechanisms of resistance and others with a broader spectrum of applications) have led us to shift our questions from "what to deal with" to "how to treat". There has been controversy about how best to approach antibiotic treatment of complex cases of sepsis. The individualized and adjusted dosage, the moment of its administration, the objective, and the selection of the regimen are pointed out as factors of special relevance in a critically ill patient where the frequency of resistant microorganisms, especially among the Enterobacterales group, and the emergence of multiple and diverse antibiotic treatment alternatives have made the appropriate choice of antibiotic treatment more complex, requiring a constant updating of knowledge and the creation of multidisciplinary teams to confront new infections that are difficult to treat. In this article, we have reviewed the phenomenon of the emergence of resistance to antibacterials and we have tried to share some of the ideas, such as stewardship, sparing carbapenems, and organizational, microbiological, pharmacological, and knowledge tools, that we have considered most useful and effective for individualized decision making that takes into account the current context of multidrug resistance. The greatest challenge, therefore, of decision making in this context lies in determining an effective, optimal, and balanced empirical antibiotic treatment.

Testosterone and soluble ST2 as mortality predictive biomarkers in male patients with sepsis-induced cardiomyopathy

Sepsis-induced cardiomyopathy (SIC) is characterized by high mortality and poor outcomes. This study aimed to explore the relationship between testosterone and soluble ST2 (sST2) and all-cause mortality in patients with SIC. Clinical data from SIC patients at Renmin Hospital of Wuhan University from January 2021 and March 2023 were reviewed. Serum testosterone and sST2 were measured at admission. Kaplan-Meier analysis and receiver operative characteristic curve (ROC) were used to estimate the predictive values of testosterone and sST2 on 28 days and 90 days mortality of SIC. A total of 327 male subjects with SIC were enrolled in this study. During the 28 days and 90 days follow-up, 87 (26.6%) and 103 deaths (31.5%) occurred, respectively. Kaplan-Meier analysis showed significantly higher 28 days and 90 days survival in patients with higher testosterone and decreased sST2 levels (p < 0.001). Testosterone, sST2, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were significantly associated with 28 days and 90 days mortality (p < 0.05). Partial correlation analysis showed strong positive correlation between testosterone and left ventricular ejection fraction (LVEF) (p < 0.001), and negative correlation between testosterone and sST2 (p < 0.001), high-sensitivity troponin I (hs-TnI) levels (p < 0.001) and smoke history (p < 0.01). The concentrations of sST2 were positively related with E/e' ratio (p < 0.001), and negatively correlated with TAPSE (p < 0.001). The combination of testosterone and sST2 enhanced the prediction of both 28 days [area under the ROC curve (AUC), 0.805] and 90 days mortality (AUC, 0.833). Early serum testosterone and sST2 levels could predict mortality of SIC independently and jointly. Further research is needed to determine the utility of biochemical markers in identifying high-risk patients with SIC.

Evaluation of IL-8, nitric oxide and macrophage inhibitory factor as clinical circulatory markers in patients with cutaneous leishmaniasis, before and during sodium stibogluconate treatment

The clinical spectrum of cutaneous leishmaniasis (CL), an intracellular parasitic pathogen, ranges from a single sore healing to chronic crusty lesions with a manifestation of treatment resistance. The complicated interaction between Leishmania bodies and the early immune response, including innate and adaptive mechanisms, determines the evolution of nodules. This study examined the levels of the chemoattractant interleukin 8 (IL-8), pro-inflammatory nitric oxide (NO), and immunoregulatory macrophage inhibitory factor (MIF) in the serum of subjects recently diagnosed with cutaneous leishmaniasis, in parallel with patients being monitored during consecutive sodium stibogluconate (Pentostam) treatment. A total of 161 serum samples of newly diagnosed individuals and patients undergoing pentostam injections were collected form an endemic area of Diyala, east central of Iraq. Sandwich ELISA was used to measure the level of IL-8, NO and MIF in the studied groups. Results of circulatory markers levels showed a considerable difference in all groups, with IL-8 being exceptionally higher in the first two groups of pretreated and dose-1 (191.5, 273.64) pg/ml respectively, while NO was found to be lower than in control subjects, particularly in the pretreated group (12.08 µmol/L) and MIF level was significantly higher in the pretreated group, which was (7.18 pg/ml). These findings can provide insights for distinction of disease phase and monitoring treatment efficacy along consecutive dosages, particularly in populations where CL is endemic.

Pioneering Changes in Psychiatry: Biomarkers, Psychedelics, and AI

This viewpoint discusses integrating biomarkers, psychedelics, and AI into psychiatry for enhanced diagnostics, prognosis, and treatment. It highlights the potential of psychedelics in therapy, AI's role in predicting treatment response, and the challenges that must be addressed. The aim is to encourage research for more precise, personalized psychiatric care.

Treatment Advances in Sepsis and Septic Shock: Modulating Pro- and Anti-Inflammatory Mechanisms

Sepsis is currently defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection, and it affects over 25 million people every year. Even more severe, septic shock is a subset of sepsis defined by persistent hypotension, and hospital mortality rates are higher than 40%. Although early sepsis mortality has greatly improved in the past few years, sepsis patients who survive the hyperinflammation and subsequent organ damage often die from long-term complications, such as secondary infection, and despite decades of clinical trials targeting this stage of the disease, currently, no sepsis-specific therapies exist. As new pathophysiological mechanisms have been uncovered, immunostimulatory therapy has emerged as a promising path forward. Highly investigated treatment strategies include cytokines and growth factors, immune checkpoint inhibitors, and even cellular therapies. There is much to be learned from related illnesses, and immunotherapy trials in oncology, as well as the recent COVID-19 pandemic, have greatly informed sepsis research. Although the journey ahead is a long one, the stratification of patients according to their immune status and the employment of combination therapies represent a hopeful way forward.

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictive Factors for Mortality and Length of Hospital Stay after Cardiac Surgery

Background: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are widely accepted indices positively correlated with disease severity, progression, and mortality. In this study, we tested whether NLR and PLR could predict mortality and length of hospital stay (LOS) after cardiac surgery. Methods: NLR and PLR were calculated on days 0, 3, 5, and 7 postoperatively. A ROC curve was generated to assess their prognostic value; multivariate logistic analysis identified independent risk factors for 90-day mortality. Results: Analysis was performed on 179 patients’ data, 11 of whom (6.15%) died within 90 days. The discriminatory performance for predicting 90-day mortality was better for NLR7 (AUC = 0.925, 95% CI:0.865–0.984) with the optimal cut-off point being 7.10. NLR5 and PLR3 also exhibited a significant strong discriminative performance. Similarly, a significant discriminative performance was prominent for PLR3, NLR5, and NLR7 with respect to LOS. Moreover, NLR7 (OR: 2.143, 95% CI: 1.076–4.267, p = 0.030) and ICU LOS (OR:1.361, 95% CI: 1.045–1.774, p = 0.022) were significant independent risk factors for 90-day mortality. Conclusions: NLR and PLR are efficient predictive factors for 90-day mortality and LOS in cardiac surgery patients. Owing to the simplicity of determining NLR and PLR, their postoperative monitoring may offer a reliable predictor of patients’ outcomes in terms of LOS and mortality.