High Lactate Dehydrogenase Levels Research Articles

Explainable machine learning and multi-modal data for predicting readmission in patients with heart failure

Abstract Background Cardiovascular diseases (CVDs) are among the leading causes of mortality and morbidity globally, with an estimated 1 million hospital admissions for CVD in England in 2019/20, leading to 5.5 million bed days. In addition, patients with CVDs have a notably high rate of hospital readmission, with approximately one in four patients experiencing heart failure (HF) being readmitted within one month of discharge. We explored whether machine learning models trained on electrocardiogram (ECG) and patient electronic health records (EHRs) can support decision-making and risk management and ultimately improve health outcomes for HF patients. Purpose The project aims to develop a machine learning model to predict health outcomes for HF patients. To test the hypothesis, we trained and tested an explainable machine learning model to predict the risk of mortality and hospital readmission rate for HF patients. Methods We used EHR data and tabulated ECG records to train an XGBoost model to predict the risk of 30-day mortality and 30-day hospital readmission for HF patients. EHR data from a cohort of 2,868 patients with their ECG records were used for model development. We extracted a total of 78 features from the ECG data, such as heart rate variability (HRV), P-wave durations, and QT intervals. These ECG features were combined with coded and free-text EHR data (e.g., demographic information, diagnosis, medication history, and lab results) and used as tabular inputs to the XGBoost model. Of the 2,868 patients, an internal set of 574 patients stratified by age, sex, and health outcomes (30-day mortality and 30-day hospital readmission) were held out for testing. Results Among 2,868 HF patients with 10-year follow-up, 1065 patients were reported for mortality or hospital readmission within 30 days of discharge. When the machine learning model was trained on ECG data in addition to EHR data, the model was able to predict patient mortality and hospital readmission rate in the test set with an area under the curve (AUC) of 0.91 and 0.70, respectively. For mortality prediction, the model achieved a sensitivity and specificity of 0.81 and 0.82, respectively, when employing an operating point with minimum difference between the sensitivity and specificity. When the threshold was adjusted to favor sensitivity at 0.91, the model specificity decreased to 0.74. The machine learning model also identified high sensitive troponin levels, QT dispersion, and lactate dehydrogenase levels as features of high importance for predicting the outcomes for HF patients. Conclusions Our developed machine learning model was able to predict mortality and readmission risks in HF patients using multi-modal data. Upon further validation, the machine learning model has the potential to be tested for supporting clinical decision-making and risk management for HF patients.ROC CurveFeature Importance

The Clinical Significance of Pathogen Loads and Macrolide Resistance Levels for Macrolide-Resistant Mycoplasma pneumoniae Pneumonia in Children.

Mycoplasma pneumoniae (M. pneumoniae) pneumonia presses a serious threat on children's health. This study was aimed to investigate the clinical significance of pathogen loads and macrolide resistance levels for macrolide-resistant M. pneumoniae (MRMP)-induced pneumonia in children. Serum levels of inflammatory markers including lactic dehydrogenase (LDH), D-dimer, C-reactive protein (CRP) were tested. RT‒PCR was used for the detection of M. pneumoniae infection and the macrolide resistance levels. The patients were classified into high pathogen load and low pathogen load groups based on the Ct values of the p1 gene, and high macrolide resistance level and low macrolide resistance level groups based on the relative levels of macrolide resistance associated mutations to that of the p1 gene. The rates of alternative antibiotic use and hospitalization days were recorded, and the leukocyte counts were tested. The rates of elevated inflammatory markers from high to low were LDH, CRP and D-dimer. The Ct values of the p1 gene ranged from 19 to 35, and patients with higher pathogen loads had greater rates of alternative antibiotic use; higher levels of LDH, D-dimer, CRP and neutrophil counts (NEUT); and longer hospitalization durations. The range of the macrolide resistance levels was 0.31-2.11, and the rates of alternative antibiotic use, NEUT, CRP and D-dimer levels were higher in patients with higher macrolide resistance levels. LDH was a more frequently elevated serum inflammatory marker than D-dimer and CRP, and the pathogen load and macrolide resistance levels possessed important clinical significance for MRMP-induced pneumonia in children.

Prevalence and risk factors of low bone mineral density in Chinese Han male patients with alcohol dependence.

To investigate the prevalence of low bone mineral density (BMD) along with its possible risk factors in male Han Chinese patients with alcohol dependence (AD). This retrospective, cross-sectional study included male patients with AD, classified into normal and low BMD groups according to bone densitometry T scores. Demographic and alcohol-related data, and routine laboratory parameters were compared between the two groups. Binary logistic regression analysis was employed to evaluate risk factors associated with low BMD, and correlations between the T-score and demographic, alcohol-related, and routine laboratory data were evaluated. Among a total of 107 patients with AD included in the study, the prevalence of low BMD was 70.09% (75/107). Patients with low BMD were older, consumed more alcohol daily, and had higher lactate dehydrogenase (LDH) and lower Ca2+ levels than patients with normal BMD. Regression analysis revealed that increased daily alcohol intake, low serum Ca2+ levels, high serum LDH levels, and comorbid hypertension was related to low BMD in patients with AD. Further correlation analysis revealed a positive association between T-score and serum Ca2+ levels. Increased daily alcohol intake, low serum Ca2+ levels, high serum LDH levels, and comorbid hypertension may be risk factors for low BMD.

Several factors that predict the outcome of large B-cell lymphoma patients who relapse/progress after chimeric antigen receptor (CAR) T-cell therapy can be identified before cell administration.

The aim of this study was to analyse the outcomes of patients with large B-cell lymphoma (LBCL) treated with chimeric antigen receptor T-cell therapy (CAR-Tx), with a focus on outcomes after CAR T-cell failure, and to define the risk factors for rapid progression and further treatment. We analysed 107 patients with LBCL from the Czech Republic and Slovakia who were treated in ≥3rd-line with tisagenlecleucel or axicabtagene ciloleucel between 2019 and 2022. The overall response rate (ORR) was 60%, with a 50% complete response (CR) rate. The median progression-free survival (PFS) and overall survival (OS) were 4.3 and 26.4 months, respectively. Sixty-three patients (59%) were refractory or relapsed after CAR-Tx. Of these patients, 39 received radiotherapy or systemic therapy, with an ORR of 22% (CR 8%). The median follow-up of surviving patients in whom treatment failed was 10.6 months. Several factors predicting further treatment administration and outcomes were present even before CAR-Tx. Risk factors for not receiving further therapy after CAR-Tx failure were high lactate dehydrogenase (LDH) levels before apheresis, extranodal involvement (EN), high ferritin levels before lymphodepletion (LD) and ECOG PS >1 at R/P. The median OS-2 (from R/P after CAR-Tx) was 6.7 months (6-month 57.9%) for treated patients and 0.4 months (6-month 4.2%) for untreated patients (p < 0.001). The median PFS-2 (from R/P after CAR-Tx) was 3.2 months (6-month 28.5%) for treated patients. The risk factors for a shorter PFS-2 (n = 39) included: CRP > limit of the normal range (LNR) before LD, albumin < LNR and ECOG PS > 1 at R/P. All these factors, together with LDH > LNR before LD and EN involvement at R/P, predicted OS-2 for treated patients. Our findings allow better stratification of CAR-Tx candidates and stress the need for a proactive approach (earlier restaging, intervention after partial remission achievement).

Recent advances in CD5+ diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL), the most common non-Hodgkin's lymphoma (NHL), is substantially heterogeneous. Approximately 5-10% of DLBCLs express CD5, which makes CD5+ DLBCL a rare subgroup. Different studies have shown that CD5+ DLBCL patients are often older and female and have higher lactate dehydrogenase levels, an Eastern Cooperative Oncology Group (ECOG) performance status > 1, and higher International Prognostic Index (IPI) scores. Moreover, patients often have advanced stage disease with a high incidence of central nervous system (CNS) relapse and bone marrow involvement. CD5+ DLBCL cells are more likely to express MYC, BCL-2, and MUM-1, less likely to express CD10, and most belong to the activated B-cell-like (ABC) subtype. The potential mechanisms underlying the poor prognosis of CD5+ DLBCL patients may be related to CD5-mediated B-cell receptor (BCR)-dependent and -independent pathways. The efficacy of the traditional rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) regimen is unsatisfactory in CD5+ DLBCL patients. Despite supporting evidence from retrospective studies, it is currently unclear whether dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, and doxorubicin plus rituximab (DA-EPOCH-R) can improve outcomes in this population. Several new drugs, such as Bruton tyrosine kinase inhibitors (BTKi), BCL-2 inhibitors, and CXCR4 antagonists, as well as immunotherapy, may help to improve the prognosis of CD5+ DLBCL patients, but additional clinical explorations are needed to determine the optimal therapeutic strategy for this disease.

COVID-19 increases mortality in hemodialysis patients: exploring links with inflammation and telomere attrition.

An increased risk of mortality and hospitalization was consistently demonstrated in hemodialysis (HD) patients affected by pandemic coronavirus infection (COVID-19). In this study, we analyzed parameters that may impact mortality in COVID-19 HD patients, including neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP), COVID-19 disease status and telomere length in peripheral blood cells (TL). A total of 130 chronic hemodialysis patients were enrolled and followed up for 18 months. Patients were categorized into groups based on their COVID-19 disease history and subsequent data about their survival status at the end of the study. Routine laboratory parameters were assessed using standard automated methods and TL was determined using the modified Cawthon method. Survival predictors were analyzed using Kaplan-Meier analysis. Deceased patients (30%) were older with higher body mass index (BMI), higher levels of LDH, NLR index, CRP and lower TL and lymphocytes count compared to survivors. Kaplan-Meier survival analysis showed six parameters were significant mortality predictors in the following order of significance: COVID-19 history, 2-years cardiovascular mortality risk score, NLR, TL, CRP, LDH. Using binary logistic regression analysis Summary risk score, a combination of these six parameters revealed as the best predictor of patient's survival in this group of parameters (log rank 25.4, p < 0.001). Compared to the general population, the mortality rate among HD patients persists at a higher level despite advancements in HD technology and patient care. The situation has been exacerbated by COVID-19, by significant increase in mortality rate among these patients.

New Perspective on the Clinical and Laboratory Characteristics of Rheumatoid Pleural Effusion: A 29-Case Series.

Objective Rheumatoid pleural effusion (RPE) usually occurs in middle-aged men. Pleural fluid analyses have revealed high lactate dehydrogenase (LDH) levels and low pH and glucose levels in RPE. We aimed to investigate the clinical and laboratory features of patients with RPE since the beginning of the 21st century. Methods Medical records of patients with RPE were reviewed between May 2006 and October 2021. The patients were divided into <60-year (younger) and ≥60-year (older) groups. Results The younger group comprised 6 patients (median age 53.5 years, female 33%) and older group comprised 23 patients (median age 76 years, female 52.2%). Compared to the younger group, the older group had fewer cases of fever (83.3% vs. 18.2%, p = 0.007) and chest pain (66.7% vs. 8.7%, p = 0.008). In pleural fluid analysis, the older group presented higher pH (p = 0.004) and lower LDH levels (p = 0.044). Seven patients died during the follow-up period. Conclusion Most patients with RPE were over 60 years of age, and approximately half of them were female. The pleural fluid analysis showed milder inflammation in older patients than in middle-aged patients. The mortality rate of patients with RPE was distinctly higher than that previously reported.

C-reactive protein (CRP) and lactate dehydrogenase (LDH) as functional outcome predictors in stroke patients

Stroke is a neurologic disorder with high mortality and disability. Its pathophysiology is associated with vascular inflammation. However, studies between vascular inflammatory markers and stroke outcomes are still limited. This study aimed to investigate the association between inflammatory markers and functional outcomes of stroke. This was a retrospective cohort study involving all stroke patients at the Dr. Sardjito General Hospital, Yogyakarta from October 2020 to August 2021 who meet the inclusion and exclusion criteria. Mann-Whitney was used for bivariate analysis, followed by multivariate analysis. A total of 269 subjects, with 213 infarcts (79.2%) and 56 hemorrhagic (20.8%) strokes. There were 83 subjects deceased (30.9%), with 66 infarct (31%) and 17 hemorrhagic (30.4%) strokes. High CRP levels had significant and independent associations with worse GCS, ADL, IADL, NIHSS, BI, SSGM, MRS, and higher mortality rates (p &lt; 0.05). High LDH levels had a significant and independent association with worse GCS scores and higher mortality rates (p &lt; 0.05). Sub-analysis showed high CRP and LDH had associations with high mortality rates in infarct (p &lt; 0.001), but only CRP (p = 0.029) had associations with high mortality rates in hemorrhagic. There was no significant association between fibrinogen and procalcitonin with stroke outcomes (p &gt; 0.05). Cox-regression analysis showed CRP&gt;24.5 mg/dL and LDH &gt;300U/L associated with hazard ratios of 3.2 (p &lt; 0.001) and 1.65 (p = 0.026). In conclusion. high CRP and LDH levels are associated with mortality rates in stroke patients.

Laboratory profiling of patients with long COVID in the Brazilian Amazon region: A cross-sectional study.

The condition commonly referred to as long coronavirus disease (COVID) is characterized by the continuation of symptoms, sometimes accompanied by new symptoms that persist after the resolution of acute coronavirus disease 2019 (COVID-19). This observational cross-sectional study investigated 332 patients with long COVID in the Brazilian Amazon region. The study aimed to elucidate the systemic interactions associated with long COVID by compiling the findings related to hematological, coagulation, immunological, metabolic, hepatic, renal, and muscular profiles. Participants with long COVID were identified using rigorous criteria and underwent thorough laboratory examinations. The obtained data were subsequently analyzed, allowing for comparisons, associations, and correlations between findings within distinct groups in the study. Significant associations were observed between hospitalization during the acute phase and persistent laboratory abnormalities, suggesting a potential link between acute severity and long-term effects. Notably, individuals with long COVID for over a year exhibited elevated levels of monocytes, prolonged prothrombin times, reduced prothrombin activity, high levels of lactate dehydrogenase, and an increased frequency of qualitative C-reactive protein detection. This study provides valuable insights into the laboratory risk profile of patients with long COVID, particularly in the unique context of the Amazon region, where patients exhibit persistent symptoms lasting up to 1261 days.

Identification of peripheral blood test parameters predicting the response to palbociclib and endocrine therapy for metastatic breast cancer: a retrospective study in a single institution.

Cyclin-dependent kinase 4/6 inhibitors have been used in endocrine therapy for patients with estrogen receptor (ER)-positive and human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer. Although randomized trials have shown that combined therapies prolong progression-free survival (PFS) in comparison to endocrine monotherapy, the predictors of efficacy are unknown. This study aimed to identify the blood test parameters to predict the effects of palbociclib and endocrine therapy. Seventy-nine patients treated with palbociclib and endocrine therapy between December 2017 and June 2022 were reviewed. We assessed PFS in patients according to factors evaluated based on patient characteristics and peripheral blood tests. Patients in the C-reactive protein (CRP)-high, lactate dehydrogenase (LDH)-high, and albumin (Alb)-low groups had significantly shorter PFS than those in the normal group. A multivariate analysis revealed that high LDH and low Alb levels were independent factors that affected PFS. The Alb-low group had an inferior disease control rate. Patients in the CRP-high, LDH-high, and Alb-low groups who received these therapies as first- or second-line treatments showed poor PFS. Several predictors of the efficacy of palbociclib and endocrine therapy were identified in the peripheral blood test parameters of patients with ER-positive and HER2-negative subtypes of metastatic breast cancer.

Prevalence of GIT Symptoms in Patients of Covid 19

Abstract Background In December 2019, a cluster of patients with pneumonia of undetermined etiology was recognized in Wuhan, Hubei, China. Subsequently, a novel coronavirus (SARS-CoV-2) was identified from lower respiratory tract samples obtained from affected patients. The clinical manifestation of COVID-19 is broad and ranges from asymptomatic and mild upper respiratory tract symptoms to severe illnesses with multiorgan failure and death. Furthermore, it is challenging to predict the clinical course or determine patients at risk of deterioration. Aim of the Work The aim of our study was to assess prevalence of GIT symptoms in patients of covid 19 infected patients Patients and Methods This study was conducted on 100 adult covid 19 patients recently diagnosed by polymerase chain reaction (PCR). All patients were submitted to clinical examination, laboratory testing for ESR, CRP, CBC, and D-dimer. Radiological investigations in the form of CT Chest were be reported by radiologist for all patients. High resolution computed tomography Parenchymal abnormalities on HRCT were assessed. Nasopharyngeal, oropharyngeal and rectal swabs were collected for COVID-19 (PCR) test. All patients received Covid-19 treatment according to protocols of WHO and ministry of health and population, Egypt. Results We found that GI symptoms are prevalent among COVID-19 Egyptian patients (64%). The most common GI symptoms were Nausea, vomiting and diarrhea. We observed that 25 patients (25%) had positive viral RNA in rectal swab. Conclusion Severe COVID-19 was more frequent in older age. Dyspnea and increased respiratory rate were associated with severity of covid 19 infection. Increased CRP and high serum levels of ferritin, d-dimer and lactate dehydrogenase were significantly associated with COVID-19 severity.

Analysis of clinical management and radiological affection of coronavirus disease 2019 patients under isolation: an experience from a University Hospital

Background During the coronavirus disease 2019 (COVID-19) pandemic, Egypt was among the minor epidemic areas. COVID-19 has wide variations in the clinical presentation manifesting as a heterogeneous disease severity varying from mild, moderate, and severe to critical illness. Objective This study aimed to identify the potential clinical, radiological, and laboratory characteristics and prognosis of the COVID-19 patients obtained during the first peak of this pandemic at a University Hospital in Egypt, and to provide a reference for the pandemic management in the subsequent peaks. Patients and methods A single-center prospective study was done on patients with COVID-19 admitted to Fayoum University Hospital during the period from May to July 2020. All patients had full medical history taking, clinical examination, laboratory assessment, oxygen-saturation monitoring, chest computed tomography (CT), and reverse transcriptase-PCR testing. All the patients were treated with the treatment protocol accredited by the Egyptian Ministry of Health and accordingly disease outcome was determined. Results The study included 162 COVID-19 patients, 80 (49.4%) had mild cases, 40 (24.7%) had moderate cases, and 26 (16.0%) and 16 (9.9%) had severe and critical cases, respectively. The median CT-severity score was 10 (3.75–11.25). Significantly high serum levels of C-reactive protein, D-dimer, lactate dehydrogenase, and ferritin levels were observed in severe cases (P&lt;0.01 for all) in comparison with mild/moderate cases. By comparing died cases with other severe cases, the proportion of cases with CURB 65 score (comorbidity, confusion, urea, respiratory rate, blood pressure, and 65 years of age or older score) more than or equal to 4, PaO2/FiO2 less than 300, hypoxemia less than 85%, higher levels of ferritin, D-dimer, alanine aminotransferase, aspartate aminotransferase, CT severity, and consolidation score were significantly higher in died cases than other severe cases. By regression analysis, among severe cases, predictors of death were the presence of comorbidity and increased consolidation size. Conclusion All healthcare workers should understand the presentation of the disease, workup, and supportive care experienced from the first outbreak and offer an evidence-based management for succeeding outbreaks in our community.

Assessment of Molecular Markers in Pediatric Ovarian Tumors: Romanian Single-Center Experience.

Pediatric ovarian tumors exhibit unique diagnostic and therapeutic challenges. This study evaluates the expression of SALL4 and OCT3/4 biomarkers in pediatric ovarian tumors and their associations with tumor subtype, stage, and clinical outcome. A retrospective analysis was conducted on 64 patients under 18 years old, examining demographic data, tumor characteristics, immunohistochemical staining, and clinical outcomes. Our results show that SALL4 was significantly expressed in adenocarcinoma, dysgerminoma (DSG), mixed germ cell tumors (GCTs), and immature teratoma, while OCT3/4 was highly expressed in DSG and mixed GCTs. Both markers are associated with a higher tumor grade and stage, indicating a more aggressive disease. The SALL4 positivity expression was correlated with high alpha fetoprotein (AFP) and lactate dehydrogenase (LDH) levels, while OCT3/4 positivity significantly predicted the risk of subsequent metastasis. The mean progression-free survival (PFS) was notably shorter in patients with positive markers. These findings underscore the diagnostic and prognostic value of SALL4 and OCT3/4 in pediatric ovarian tumors, aligning with previous research and supporting their use in clinical practice for better disease management and patient outcomes.

A case of varicose necrotic phlegmon of the orbit in a child

AIM: This study aimed to analyze the peculiarities of a clinical case of orbital cellulitis in a child with varicella-zoster virus infection. MATERIAL AND METHODS: In this report of a rare case, necrotizing orbital cellulitis developed on day 6 from the onset of varicella-zoster disease in a 5-year-old child. The child was hospitalized in a serious condition at the intensive care unit of an infectious disease hospital and was subsequently transferred to an ophthalmology department of another hospital. The patient was subjected to comprehensive laboratory examinations and received conservative and surgical treatments. Computed tomography was performed to detect changes in the status of the orbits. RESULTS: The disease manifested with a pronounced pain syndrome in the right orbit, intoxication, and hyperthermia. Exophthalmos, purulent discharge, and necrosis of the conjunctiva of the affected eye were also observed. Computed tomography revealed infiltration of the right orbit without changes in the sinuses. The clinical blood analysis demonstrated leukocytosis, left shift in neutrophils, eosinophilia, and high levels of C-reactive protein and lactate dehydrogenase. The coagulogram demonstrated a proclivity toward hypercoagulation, as evidenced by diminished prothrombin activity according to Quick’s test, increased active partial thromboplastin time, and high D-dimer levels. Urinalysis revealed leukocyturia. Cultures from the conjunctival cavity yielded Streptococcus pyogenes, and a polymerase chain reaction tested positive for S. pyogenes. Antiviral, antibacterial, and symptomatic treatments were initiated. Necrotic masses were obtained during the drainage of the orbital cavity. The child was hospitalized for 21 days. The symptoms were controlled, and the patient’s condition was satisfactory at discharge. Visual functions remained fully preserved. At the examination 1.5 months later, a slight residual exophthalmos was detected. CONCLUSION: Employing a complex multidisciplinary approach, timely prescription of antibacterial and antiviral therapy, and surgical assistance (drainage of the orbit) ensures a successful disease outcome.

Association between lactate dehydrogenase and ventilator-associated pneumonia risk: an analysis of the MIMIC database 2001–2019

BackgroundSerum lactate dehydrogenase (LDH) is a nonspecific inflammatory biomarker and has been reported to be associated with pneumonia prognosis. This study aimed to evaluate the relationship between LDH levels and ventilator-associated pneumonia (VAP) risk in intensive care unit (ICU) patients.MethodsThis retrospective cohort study used data from the Multiparameter Intelligent Monitoring in Intensive Care database from 2001 to 2019. ICU patients aged ≥ 18 years and receiving mechanical ventilation were included. LDH levels were analyzed as continuous and categorical variables (< 210, 210–279, 279–390, > 390 IU/L), respectively. Restricted cubic spline (RCS) curves and quartiles were used to categorize LDH levels. Logistic regression and linear regression were utilized to assess the relationship of LDH levels with VAP risk and duration of mechanical ventilation, respectively.ResultsA total of 9,164 patients were enrolled, of which 646 (7.05%) patients developed VAP. High levels of LDH increased the risk of VAP [odds ratio (OR) = 1.15, 95% confidence interval (CI): 1.06–1.24] and LDH levels were positively correlated with the duration of mechanical ventilation [β = 4.49, 95%CI: (3.42, 5.56)]. Moreover, patients with LDH levels of 279–390 IU/L (OR = 1.38, 95%CI: 1.08–1.76) and > 390 IU/L (OR = 1.50, 95%CI: 1.18–1.90) had a higher risk of VAP than patients with LDH levels < 210 IU/L. Patients with LDH levels of 279–390 IU/L [β = 3.84, 95%CI: (0.86, 6.82)] and > 390 IU/L [β = 11.22, 95%CI: (8.21, 14.22)] (vs. <210 IU/L) had a longer duration of mechanical ventilation.ConclusionElevated serum LDH levels were related to a higher risk of VAP and longer duration of mechanical ventilation and may be useful for monitoring VAP risk.

Peripheral blood biomarkers in immune checkpoint inhibition therapy in metastatic melanoma.

e21543 Background: Immune checkpoint inhibitors are extensively employed in the management of various solid cancers. Our study aims to assess the potential prognostic and predictive value of peripheral blood biomarkers, as well as their correlation with adverse events. Methods: In this study, we conducted a retrospective analysis of data retrieved from a cohort of 23 patients diagnosed with metastatic melanoma at a single institution between 2015 and 2019. Specifically, we focused on analyzing the neutrophil-to-lymphocyte ratio (NLR), absolute neutrophil+monocyte-to-absolute lymphocyte+eosinophil ratio (ANMC/ALEC) from complete blood count (CBC), and lactate dehydrogenase (LDH) level from peripheral blood to assess their correlation with progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs). Results: Our findings revealed that NLR values less than 0.34 and ANMC/ALEC ratio less than 3.45 were associated with improved PFS and OS, as well as a lower incidence of immune-related adverse events, which supports our initial hypothesis. However, these results were not statistically significant due to the low power of our study. On the other hand, high NLR values were significantly associated with higher pre-treatment LDH levels (P-value = 0.037), which is a well-established adverse prognostic factor in melanoma. Additionally, high ANMC/ALEC ratios were also found to be associated with high LDH levels, although this relationship was not statistically significant (P-value = 0.133). Conclusions: The results of our study suggest that patients with lower pre-treatment NLR and ANMC/ALEC ratios have better PFS and OS, as well as lower incidence of irAEs. Conversely, those with high NLR and high ANMC/ALEC ratios exhibited lower PFS and OS, as well as higher incidence of irAEs. High NLR and ANMC/ALEC ratios were also found to be associated with higher pre-treatment LDH levels, which have previously been demonstrated to be an adverse prognostic factor in melanoma. [Table: see text]

Correlation of ctDNA and LDH levels in patients with soft tissue sarcoma: A single-center experience.

e23535 Background: Our study aims to examine the relationship between the presence of circulating tumor DNA (ctDNA) and lactate dehydrogenase (LDH) in patients diagnosed with soft tissue sarcoma (STS). There is emerging yet limited data on the applicability of ctDNA in STS. LDH is a cheaper readily available test that has been associated with unfavorable overall survival in different malignancies. This research aims to understand the correlation between ctDNA and LDH as a tool to assess its utility as indirect markers of response to treatment in STS. Methods: This was a single-center retrospective chart review on patients diagnosed with STS. Eligibility criteria included a confirmed diagnosis and available measurements of both ctDNA and LDH levels. Correlation was compared between Non-hispanic whites (NHW) and Hispanics (H). Data was sourced from our electronic medical record and Signatera™ assay to obtain the primary endpoints. Specimens were standardized in accordance to Natera’s™ specifications. Study endpoints included the correlation coefficients between ctDNA and LDH levels. A two-stage study design was applied for a robust analysis. Spearman's rank correlation coefficient (denoted as r) was employed for statistical analysis, assessing the strength and direction of the monotonic relationship between ctDNA and LDH levels. Marker values were treated as continuous variables in these analyses. All analyses were executed in GraphPad Prism software. Results: The cohort comprised 33 patients with STS (14 NHW, 19 H). The median LDH in H was 189 (interquartile range (IQR) = 184) vs 184 (IQR = 105) in NHW. Comparatively, the median ctDNA in H was 0 (IQR = 39.3) and also 0 (IQR = 11.1) in NHW. The overall correlation between ctDNA and LDH levels was moderate positive (r = 0.5, p = 0.002), indicating a consistent, though not necessarily linear, relationship. Subgroup analysis showed r = 0.19 (p = 0.52) in NHW and r = 0.43 (p = 0.1) in H groups, suggesting ethnic variability in the ctDNA-LDH correlation. These findings were statistically significant within the predefined confidence limits and probability values. Conclusions: Our study demonstrated a significant correlation between ctDNA levels and LDH in STS patients, implying that higher ctDNA may be associated with higher LDH levels. This association can lead clinicians in monitoring LDH more frequently as an indirect marker of response to treatment in STS. This correlation suggests an increased tumor burden with a higher inflammatory response, with variations across different racial groups. The wider availability of LDH testing compared to ctDNA in many centers highlights LDH's potential as an indirect marker for STS. Further research with larger prospective cohorts is essential to confirm LDH's role paired with ctDNA in guiding treatment decisions in STS, enhancing its utility in clinical practice.

#2973 COVID-19 increased hemodialysis patients’ mortality, relation with inflammation and telomere attrition

Abstract Background and Aims An increased risk of mortality and hospitalization has been consistently demonstrated in patients with CKD who are additionally affected by corona virus disease 19 (COVID-19). In this study, we tried to identify predictive factors of mortality and hospitalizations, especially the ratio of neutrophils to lymphocytes (NLR), lactate dehydrogenase (LDH), c-reactive protein (CRP), disease status of COVID-19, telomere length in peripheral blood cells (TL) and 2-year risk score. Method A total of 130 chronic hemodialysis patients, were enrolled in the present study and followed up for 18 months. Routine laboratory parameters including LDH, were determined by standard automated methods, redox status parameters SOD and O2. - Using spectrophotometric methods.TL was determined using the modified Cawthon method and was calculated as the T/S ratio. Kaplan-Meier analysis was used to test survival predictors. Results Patients in deceased group (30%) were significantly older (p &amp;lt;0.001), with higher body mass index (BMI), (p &amp;lt; 0.01) than survived patients. Also, patients in the deceased group had higher levels of LDH, NLR index, CRP compared to survivors. Lower lymphocytes and shortened TL were characteristic of these patient groups, but the deceased group had the lowest lymphocytes (p &amp;lt; 0.005) and telomeres (p&amp;lt;0.002), and had the highest NLR (0.004). The difference in 2-years risk score also was significant (p &amp;lt; 0.001), with higher scores in the deceased group. Kaplan-Meier survival analysis showed six parameters were significant predictors in the following order of significance: COVID-19 status, 2-years risk score, NLR, TL, CRP, LDH. Using binary logistic regression analysis Summary risk score, a combination of these six parameters revealed as the best predictor of patients’ survival in this group of parameters (Log rank=25.4, P &amp;lt; 0.001). Conclusion Independent predictors of mortality in chronic haemodialysis patients are higher NLR, CRP, LDH, Lower lymphocytes and shortened TL, and COVID -19 made the situation even worse by significantly arising these patients’ mortality rate.

Outcomes of patients with thrombotic thrombocytopenic purpura treated in an intensive care unit.

Background Thrombotic thrombocytopenic purpura (TTP) is a multisystem disorder characterized by widespread microthrombosis that can predispose to multiple organ failure. The literature is sparse on the outcomes of critically ill patients with TTP managed in intensive care units (ICUs). We aimed to determine the mortality of ICU patients admitted with TTP and evaluate the predictors of survival. We also compared the incidence of nosocomial infection among those who did or did not receive plasma exchange (PE). Methods We conducted a retrospective study in a tertiary ICU. Two authors screened patients for eligibility from the hospital information system based on peripheral smear reports. Adult critically ill TTP patients managed in ICU were included. Patients with a diagnosis of haemolytic uraemic syndrome, autoimmune causes of haemolysis and pregnancy-related conditions, etc. were excluded. Two authors extracted data from medical charts. No imputation of missing variables was done. Non-parametric statistics were used to report data. Statistical analyses were performed using Stata version 16. Results Of the 535 records that were screened, 33 patients were deemed eligible. Mortality among TTP patients was 14 (42%). The women to men ratio was 7:3. At admission, greater degree of anaemia, thrombocytopenia, and higher lactate dehydrogenase levels were observed in non-survivors compared to survivors (5.4 g/dl [4.8-7.1] v. 7.6 g/dl [6.1-8.9], p=0.05; 17x103 μl v. 21x103 μl, p=0.63; and 2987 (1904-3614) U/L v. 2126 U/L (1941-3319), p=0.71; respectively]. Nineteen (57%) patients had acute kidney injury (AKI), of which 11 survived: 6 recovered completely from renal failure and 5 progressed to end-stage renal disease. Nosocomial infection rates were not different among those receiving and not receiving PE therapy (7 [33%] v. 3 [25%], respectively). Conclusion TTP is more common in women and has a high mortality. Older age, low haemoglobin and higher platelet transfusions are predictors of poor survival. Nosocomial infection rates were similar irrespective of receiving PE therapy.

Effect of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer and chronic obstructive pulmonary disease

Objective: To investigate the impact of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) complicated with chronic obstructive pulmonary disease (COPD). Methods: A retrospective cohort study was performed to include 178 patients with Ⅲ-Ⅳ NSCLC complicated with COPD who received at least 2 times of immunotherapy in Xinqiao Hospital of the Army Medical University from January 2019 to August 2021. Baseline peripheral blood inflammatory indicators such as interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α) were collected within 2 weeks before the first treatment, with the last one being on or before February 7, 2022. X-tile software was used to determine the optimal cut-off value of peripheral blood inflammatory indicators. The Cox multivariate regression models were used to analyze the factors affecting progression free survival (PFS) and overall survival (OS). Results: Among the 178 patients, there were 174 males (97.8%) and 4 females (2.2%); the age ranged from 42 to 86 (64.3±8.3) years old.There were 30 cases (16.9%) of immunotherapy monotherapy, 114 cases (64.0%) of immunotherapy combined with chemotherapy, 21 cases (11.8%) of immunotherapy combined with antivascular therapy, and 13 cases (7.3%) of immunotherapy combined with radiotherapy. The median follow-up period was 14.5 months (95%CI: 13.6-15.3 months). The objective response rate (ORR) and disease control rate (DCR) were 44.9% (80/178) and 90.4% (161/178) for the whole group, the median PFS was 14.6 months (95%CI: 11.6-17.6 months), and the median OS was 25.7 months (95%CI: 18.0-33.4 months). The results of Cox multivariate analysis showed that IL-6>9.9 ng/L (HR=5.885, 95%CI: 2.558-13.543, P<0.01), TNF-α>8.8 ng/L (HR=3.213, 95%CI: 1.468-7.032, P=0.003), IL-8>202 ng/L (HR=2.614, 95%CI: 1.054-6.482, P=0.038), systemic immune inflammatory index (SII)>2 003.95 (HR=2.976, 95%CI: 1.647-5.379, P<0.001) were risk factors for PFS, and advanced lung cancer inflammation index (ALI)>171.15 was protective factor for PFS (HR=0.545, 95%CI: 0.344-0.863, P=0.010). IL-6>9.9 ng/L(HR=6.124, 95%CI: 1.950-19.228, P<0.002), lactate dehydrogenase (LDH)>190.7 U/L (HR=2.776, 95%CI: 1.020-7.556, P=0.046), SII>2 003.95 (HR=4.521, 95%CI: 2.241-9.120, P<0.001) were risk factors for OS, and ALI>171.15 was a protective factor for OS (HR=0.434, 95%CI: 0.243-0.778, P=0.005). Conclusion: Baseline high levels of IL-6, TNF-α, IL-8, SII, LDH, and low levels of ALI are risk factors for poor prognosis in patients with advanced NSCLC-COPD receiving immunotherapy.