Evaluation of qSOFA and variation of hematochemical profile in cats naturally infected with feline panleukopenia virus

Purpose. Although real-time reverse transcriptase-polymerase chain reactions (rRT-PCR) are gold standard for the diagnosis of influenza A (H1N1), the results can be delayed up to several days, which is problematic during a pandemic. Because of this limitation of rRT-PCR, clinicians have often had to set a treatment plan that was solely based on clinical suspicion. We investigated the hematological and biochemical factors that are associated with rRT-PCR results, in order to help clinicians deal with acute febrile patients during influenza pandemics. Methods. We conducted a retrospective, cross-sectional study of 465 emergency department patients who underwent both rRT-PCR and blood tests at the same time. Hematological and biochemical findings were compared between the rRT-PCR-positive group and rRT-PCR-negative group. Results. Levels of leukocytes, hemoglobin, platelets, blood urea nitrogen (BUN), total bilirubin, lactate dehydrogenase, serum glucose, C-reactive protein (CRP), and procalcitonin were significantly different between the two groups in the univariate analyses. In the multivariate analyses, leukocyte counts ≤ 10.8 (× 109)/L [odd ratio (OR) = 8.2, sensitivity = 93.7%, NPV = 85.3%], BUN levels ≤ 7.1 μmol/L (OR = 3.0, sensitivity = 93.7%, NPV = 85.3%), and CRP levels ≤ 60 mg/L (OR = 2.4, sensitivity = 93.7%, NPV = 85.3%) were independently associated with positive rRT-PCR results. Conclusions. Leukocyte counts, BUN levels and CRP levels were important predictors of rRT-PCR-positive results for 2009 influenza A (H1N1) in adults.

To compare the demographic and clinical features, laboratory and imaging findings in mycoplasma pneumoniae pneumonia (MPP) children with non-MPP (NMPP) children and general MPP (GMPP) children with refractory MPP (RMPP) children and analysis the relationship with the severity of disease. The study included 265 children with MPP and 230 children with NMPP in the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University from 2020 to 2021. The children with MPP included RMPP (n = 85) and GMPP (n = 180). Demographic and clinical characteristics, laboratory and imaging findings of all children were measured as baseline data within 24 h after admission and the differences between MPP and NMPP, RMPP and GMPP patients were compared. ROC curves were used to evaluate the diagnostic and predictive value of different indicators for RMPP. Fever duration and hospital stay in children with MPP were longer than those with NMPP. The number of patients with imaging features of pleural effusion, lung consolidation and bronchopneumonia in MPP group was significantly higher than that in NMPP group. Compared with NMPP group, the levels of C-reactive protein (CRP), procalcitonin (PCT), serum amyloid A (SAA), erythrocyte sedimentation rate (ESR), lactic dehydrogenase (LDH), prothrombin time (PT), fibrinogen (FIB) and D-dimer and inflammatory cytokines (interleukin [IL]-6, IL-8, IL-10 and IL-1β) in MPP group were significantly higher (P < 0.05). The clinical symptoms and pulmonary imaging findings were more severe in RMPP group. The levels of white blood cell (WBC), CRP, PCT, SAA, ESR, alanine aminotransferase (ALT), LDH, ferritin, PT, FIB, D-dimer and inflammatory cytokines in RMPP group were higher than those in GMPP group. There was no significant difference in the level of lymphocyte subsets between the RMPP and GMPP group. IL-6, IL-10, LDH, PT, D-dimer and lung consolidation were independent risk factors for RMPP. IL-6 levels and LDH activity were good predictors of RMPP. In conclusion, there were differences in clinical characteristics and serum inflammatory markers between MPP group and NMPP group, RMPP group and GMPP group. IL-6, IL-10, LDH, PT and D-dimer can be used as predictive indicators for RMPP.

The Influence of Age on Clinical Biochemical Parameters in Pure-bred Arabian Mares

COVID-19 is a dangerous disease with long-lasting consequences. Vaccination contributes to the accumulation of neutralizing anti-S IgG antibodies, reducing the incidence of COVID-19 and its complications. However, in some individuals, the inflammatory process can persist for an indefinite period and lead to a wide range of dysfunctions. The current task is to investigate molecular markers for their detection. The aim of this study is to examine the levels of anti-S IgG antibodies, lactate, glucose, lactate dehydrogenase, and C-reactive protein in the peripheral blood of individuals who have and have not been affected by COVID-19 after vaccination. The research subject is venous blood. Among 547 employees of the Neurosurgery Institute (481 vaccinated against COVID-19 and 66 unvaccinated individuals), levels of anti-S IgG antibodies were investigated, as well as levels of lactate, lactate dehydrogenase, glucose, and C-reactive protein. At the time of the study, among 372 individuals, 16 months had passed from the first vaccination, and 12 months had passed from the second vaccination; in 21 individuals, 12 months had passed after a single vaccination, and in 88 individuals, 16 months had passed from the first vaccination, 12 months from the second, and 6 months from the third vaccination. Methods. Quantitative determination of IgG antibodies to the S protein of the SARS-CoV-2 virus. Confirmation of COVID-19 using the RT-PCR method (Allplex 2019-nCoV kit, SeeGene, Korea). Levels of lactate, lactate dehydrogenase, glucose, and C-reactive protein were determined using reagents from BioSystems (Spain). Statistical analysis of the obtained data was performed using Jamovi software (USA) and the following criteria: χ2 ‒ Kruskal-Wallis, W ‒ Dwass-Steel-Critchlow-Fligner (DSCF), χ2 ‒ Pearson, t ‒ Student, rs ‒ Spearman, τb ‒ Kendall. A statistically significant difference was considered at p &lt; 0.05. Results. The level of anti-S IgG antibodies to the SARS-CoV-2 virus was higher in vaccinated individuals compared to unvaccinated individuals (Kruskal-Wallis χ2=14.09; p &lt; 0.001). A higher level of antibodies to the S protein of the virus was observed when using the Comirnaty vaccine compared to vaccination with Moderna, AstraZeneca, Pfizer, and CoronaVac (Dwass-Steel-Critchlow-Fligner (DSCF): W 4.26, p=0.002; W 4.62, p=0.010; W 4.84, p=0.006, respectively). Vaccination reduces the likelihood of contracting the disease by 1.84 times (Odds Ratio (OR) 1.84; 95% Confidence Interval (CI) 1.02‒3.30; χ2=4.129; p=0.043). However, no statistically significant dependence on the prevention of COVID-19 incidence based on the type of vaccines used was found (Kruskal-Wallis χ2=2.072; p=0.72). A statistically significant difference in C-reactive protein levels is observed between groups with early mild complications and early moderate-severity complications (DSCF: W=4.193, p=0.009). A statistically significant difference in LDH levels is noted between individuals without chronic diseases and those with chronic diseases at the time of the study (Kruskal-Wallis χ2=6.08, p=0.014). In individuals vaccinated against the SARS-CoV-2 virus, a positive correlation is found between the levels of C-reactive protein and lactate dehydrogenase (Kendall's τb 0.134, p &lt; 0.001). The mean levels of lactate among individuals with mild, moderate, and severe forms of COVID-19 are higher than the reference mean; similarly, the mean levels of glucose in these same groups are higher than the reference mean. A positive correlation exists between the levels of lactate and glucose among individuals vaccinated against the SARS-CoV-2 virus (Kendall's τb 0.082, p &lt; 0.01). Conclusions. Vaccination contributes to an increase in antibody levels. The level of antibodies after the third vaccination exceeded the levels after the first (Dwass-Steel-Critchlow-Fligner (DSCF): W 4.42, p=0.005) and second vaccinations (W 4.24, p=0.008). Vaccination reduces the likelihood of COVID-19 infection by 1.84 times (Odds Ratio ‒ 1.84; 95% Confidence Interval 1.02‒3.30; Pearson χ2=4.129; p=0.043). The frequency of COVID-19 incidence is not dependent on the type of vaccine used: AstraZeneca, Comirnaty, CoronaVac, Moderna, Pfizer (Kruskal-Wallis χ2=2.072; p=0.723), and the level of antibodies in the vaccinated individuals' serum. In the post-COVID-19 remote period, regardless of vaccination status, various complications are observed. However, among the vaccinated, the number of individuals without complications or with minimal complications is greater than in the unvaccinated group, while the number of individuals with early and severe complications is lower (Kruskal-Wallis χ2=6.127; p=0.047). A high level of C-reactive protein (DSCF: W=4.19, p=0.009), a tendency toward increased levels of lactate dehydrogenase (DSCF: W=3.27, p=0.054), elevated levels of lactate (2.17+1.23, t=3.34; p=0.002), and glucose (6.06+0.048, t=10.54; p &lt; 0.001) indicate that after recovering from COVID-19, regardless the type of vaccines used, in individuals with distant symptoms there are metabolic changes that are signs of a chronic inflammatory process. Individuals with chronic diseasees show an increase in the level of lactate dehydrogenase (χ2=6.08; p=0.014) and a tendency toward increased levels of C-reactive protein (χ2=3.74; p=0.053). Molecular markers of inflammation such as increased levels of lactate, glucose, C-reactive protein, and lactate dehydrogenase are informative for identifying individuals with an inflammatory process in the post-COVID-19 remote period.

Backgroun: SARS-CoV-2 infection was associated with inflammatory, metabolic, haematological, and immunological changes, which contributed to the increase in morbidity and mortality. Objective: To illustrate changes in some biomarkers (ESR, ferritin, CRP, D. dimer, ALT, AST, creatinine, and urea) during COVID-19 and their predictive value in the diagnosis of SARS-CoV-2 infection, especially in rural and urban areas in which sophisticated tests were not available. Materials and Methods: The study includes 154 COVID-19 patients with positive RT-PCR. Sixty age and sex-matched individuals were included as controls. The study was conducted during the period from 23rd July 2021 to the end of December 2021. The subjects with a history of liver diseases, pregnant women, an age of less than 18, and chronic renal failure were excluded. The informed consent was taken from each individual before their enrolment in the study. The study was performed in compliance with the World Medical Association Declaration of Helsinki. Venous blood samples were collected from both groups and tested for determination of creatinine, urea, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), D dimer, ferritin, and C-reactive protein (CRP) using a Mindray BS 240 chemical auto-analyzer. Results: The mean serum values were significantly higher (P= 0.01 – 0.001) in COVID-19 patients as compared to matched controls for creatinine, blood urea, ALT, AST, ESR, LDH, D- dimer, ferritin, and CRP. In addition, the mean serum levels of ALT, AST, ESR, LDH, D-dimer, ferritin, and CRP were higher than the values of normal ranges. Although, creatinine and urea mean serum values were significantly higher in COVID-19 patients, their mean values were within the normal range values. ESR was highly significantly (p &lt; 0.001) correlated with ALT, AST, LDH, urea, ferritin, and CRP. While LDH was highly significantly correlated with creatinine, urea, ESR, ferritin, and CRP. Also, D. dimer was significantly highly correlated with ferritin, and CRP. Serum ferritin was highly significantly correlated with creatinine, urea, ESR, LDH, D. dimer, and CRP. While CRP was highly significantly correlated with creatinine, urea, ESR, LDH, D. dimer, and ferritin. Conclusion: ESR, CRP, Ferritin, D. dimer, LDH, AST, ALT, urea, and Creatinine levels in venous blood were significantly elevated in COVID-19 patients compared with controls. Sex- influenced serum levels of C-reactive protein, creatinine, and urea in this study cohort. Serum levels of tested biomarkers may be useful in the diagnosis of COVID-19 in primary healthcare centres, especially in rural areas in developing countries.

Zanha africana has been used traditionally to manage many diseases including diabetes, however, its antidiabetic activity and safety is not well evaluated. The aim of this study was to determine in vivo hypoglycemic activity and safety of the aqueous leaf extracts of this plant in male Swiss white albino mice. The antidiabetic activity was screened in alloxan induced diabetic mice using oral and intraperitoneal routes. The safety of the extract was studied in mice that were orally and intraperitoneally administered with 1 g/kg body weight daily for 28 days by recording changes in body and organ weights, hematological and biochemical parameters. Mineral composition was estimated using total reflection X-ray fluorescence system and atomic absorption spectrometry. Phytochemical composition was assessed using standard procedures. The extract showed hypoglycemic activity at dose levels of 50, 100, 200, 300 mg/kg body weight. Administration of 1 g/kg body weight of the extract decreased the body weight gain using both routes. Intraperitoneal administration of the same dose increased the organ to body weight percentages of liver, brain and kidney, and elevated white blood cell count, lymphocyte count, and levels of γ-glutamyl transpeptidase, total bilirubin and direct bilirubin and deceased levels of aspartate aminotransferase and creatinine. Increase in levels of mean corpuscular hemoglobin, γ-glutamyl transpeptidase, lactate dehydrogenase and creatine kinase, and decrease in levels of platelets, alanine transaminase, aspartate aminotransferase, urea, creatinine, total bilirubin and direct bilirubin was recorded in mice orally administered with 1 g/kg body weight of the extract. The extract contained tannins, phenols, flavonoids, saponins, and alkaloids. Sodium, Chlorine, Potassium, Calcium, Titanium, Vanadium, Chromium, Manganese, Iron, Copper, Zinc, Arsenic, Cadmium, Magnesium, Nickel and Lead were present in the extracts at levels below the recommended daily allowance. The observed hypoglycemic activity and slight toxicity could be associated with the phytochemicals and mineral/ trace elements present in this extract.

Objective: To investigate the predictive value of serum lactate dehydrogenase (LDH) in the prognosis of patients with paraquat (PQ) poisoning, and to provide evidence for early prognosis assessment. Methods: In February 2022, 50 patients with PQ poisoning who completed serum LDH detection admitted to the Department of Emergency Medicine, the First Affiliated Hospital of Wenzhou Medical University from January 2012 to December 2021 were selected as the observation group, and 50 healthy physical examination personnel were randomly selected as the control group. Patients with PQ poisoning were divided into survival group and death group according to the prognosis, and the differences of blood routine routine, liver and kidney function and other indicators in the first admission between the two groups were compared. Multivariate logisitic regression model was established, ROC curve was drawn, and the influencing factors of prognosis of patients with PQ poisoning were analyzed. Results: Compared with the control group, the white blood cell count (WBC), total bilirubin (TBil), alanine aminotransferase (ALT), aspartate aminotransferase (AST), LDH, glucose (GLU) and creatinine (Cr) in observation group were significantly increased, while albumin (ALB) and total cholesterol (TC) were significantly decreased (P<0.05). Univariate analysis showed that WBC, elevated LDH (>247 U/L), TBil, ALT, AST and Cr were significantly different between PQ poisoning survival group and death group (P<0.05). Multivariate logisitic regression analysis showed that elevated serum LDH was an independent risk factor for the prognosis of PQ poisoning patients (OR=9.95, 95%CI: 1.34-73.82, P=0.025). The area under the ROC curve of LDH was 0.811 (95%CI: 0.692-0.930). When the cut-off value was 340 U/L, the sensitivity was 0.889 and the specificity was 0.719. Log-rank test showed that there was a statistically significant difference in survival rate between the normal LDH group and the elevated LDH group (P=0.001) . Conclusion: Serum LDH has a good predictive value in evaluating the prognosis of patients with PQ poisoning. Elevated LDH is a risk factor for poor prognosis of patients with PQ poisoning.

To investigate the relationship between the levels of ferritin, C-reactive protein (CRP), lactate dehydrogenase (LDH) and interleukin-6 (IL-6) in peripheral serum and cytokine release syndrome (CRS) in patients with relapse and/or refractory multiple myeloma (R/R MM) after receiving chimeric antigen receptor T cells (CAR-T) immunotherapy. Twenty-eight patients with R/R MM were treated with 1×106/kg humanized CD19 CAR-T and mouse B cell maturation antigen CAR-T cells after pretreatment chemotherapy based on fludarabine and cyclophosphamide. The concentrations of ferritin, CRP, LDH, and IL-6 in peripheral blood were measured regularly within 30 days after infusion, and the correlation between severity of CRS and above indexes was analyzed. Among the 28 patients, 27 cases (96.4%) developed CRS, 24 cases (85.7%) in 1-2 grade CRS and 3 cases (10.7%) in 3-5 grade. The severity grade of CRS of 27 patients was positively correlated with the peak values of ferritin, CRP, LDH, and IL-6 in peripheral blood (r1=0.511, r2=0.375, r3=0.480, r4=0.632). The median peak values of ferritin, CRP, LDH and IL-6 in peripheral serum of patients with grade 3-5 CRS were significantly higher than those in patients with grade 0-2 CRS. After receiving CAR-T cellular immunotherapy, the incidence of CRS in patients with R/R MM is higher, but most of them are in grade 1 or 2. The severity of CRS is positively correlated with the levels of ferritin, CRP, LDH and IL-6 in peripheral blood.

Since the outbreak of coronavirus disease 2019 (COVID-19), it has spread rapidly in China and many other countries. The rapid increase in the number of cases has caused widespread panic among people and has become the main public health problem in the world. Severe patients often have difficult breathing and/or hypoxemia after 1 week of onset. A few critically ill patients may not only rapidly develop into acute respiratory distress syndrome, but also may cause coagulopathy, as well as multiple organs failure (such as heart, liver and kidney) or even death. This article is to analyze the predictive role of clinical features in patients with COVID-19 for severe disease, so as to help doctor monitor the severity-related features, restrain the disease progress, and provide a reference for improvement of medical treatment. The clinical data of 208 patients with COVID-19 who were isolated and treated in Changsha Public Health Treatment Center from January 17, 2020 to March 14, 2020 were collected. All patients were the mild and ordinary adult patients on admission, including 105 males and 103 females from 19 to 84 (median age 44) years old. According to the "Program for the diagnosis and treatment of novel coronavirus (COVID-19) infected pneumonia (Trial version 7)" issued by the General Office of National Health Committee and Office of State Administration of Traditional Chinese Medicine as the diagnostic and typing criteria. According to progression from mild to severe disease during hospitalization, the patients were divided into a mild group (n=183) and a severe transformation group (n=25). The clinical features such as age, underlying disease, blood routine, coagulation function, blood biochemistry, oxygenation index, and so on were analyzed. Among them, laboratory tests included white blood cell (WBC), lymphocytes (LYM), neutrophil (NEU), hemoglobin (Hb), platelet (PLT), prothrombin time (PT), plasma fibrinogen (Fib), activated partial prothrombin time (APTT), thrombin time (TT), D-dimer, total bilirubin (TBIL), albumin (ALB), alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN), serum creatinine (Cr), creatine kinase (CK), creatine kinase isoenzyme-MB (CK-MB), lactate dehydrogenase (LDH), C-reactive protein (CRP), and oxygen partial pressure in arterial blood. Partial pressure of oxygen in arterial blood/fractional concentration of inspiratory oxygen (PaO2/FiO2) was calculated. The variables with statistical significance were analyzed by logistic regression analysis. Patients in the severe transformation group had more combined underlying diseases than those in the mild group (P<0.05). From the perspective of disease distribution, patients in the severe transformation group had more combined hypertension (P<0.05). In the severe transformation group, PT was significantly longer, the levels of Fib, ALT, AST, CK, LDH, and CRP were significantly higher than those in the mild group (P<0.05 or P<0.001), while LYM, ALB, and PaO2/FiO2 were significantly lower than those in the mild group (P<0.05 or P<0.001). Logistic regression analysis was performed on clinical features with statistically significant differences. Combined with hypertension, LYM, PT, Fib, ALB, ALT, AST, CK, LDH, and CRP as independent variables, and having severe disease or not was the dependent variable. The results show that combined hypertension, decreased LYM, longer PT, and increased CK level were independent risk factors that affected the severity of COVID-19 (P<0.05). The patients with mild COVID-19 who are apt to develop severe diseases may be related to combined hypertension, decreased LYM, and longer PT, and increased CK level. For the mild patients with these clinical features, early intervention may effectively prevent the progression to severe diseases.

Appendicitis is a frequent reason for hospital admissions. Elevated C-reactive protein, white blood cell count, and serum bilirubin have been suggested as individual markers for appendicitis and appendiceal perforation. The aim of this study was to analyze if a combination of serologic markers could increase the prognostic accuracy of diagnosing non-perforated and perforated appendicitis. Demographic data, histological findings, blood tests, and clinical symptoms were collected on all patients who underwent a diagnostic laparoscopy, a laparoscopic appendectomy, or conventional (open) appendectomy between May 2009 and May 2012 from a surgical department. The patients were grouped into those with either perforated appendicitis, non-perforated appendicitis, or differential diagnosis. Univariate and multivariate models were used to identify which markers were useful in predicting acute and perforated appendicitis, and receiving operating characteristics curves were used to find the specificity, sensitivity, and the negative and positive predictive values. A total of 1008 patients were operated under suspicion of appendicitis. From these, 700 patients had a pathologically verified inflamed appendix and 190 had a perforated appendix. Patients with acute appendicitis had significantly higher blood levels of white blood cell, bilirubin, C-reactive protein, and alanine transaminase than patients without appendicitis. Patients with perforated appendicitis had significantly higher levels of white blood cell, bilirubin, and C-reactive protein than patients with non-perforated appendicitis. The highest positive predictive value to discriminate between acute appendicitis and non-appendicitis was of a linear regression model combining white blood cell count, bilirubin, and alanine transaminase. C-reactive protein levels and a linear regression model, including white blood cell count, bilirubin, and C-reactive protein levels as variables, had the highest negative predictive values when discriminating between perforated and non-perforated appendicitis. Combining blood markers was useful in predicting appendicitis and perforated appendicitis. In addition to C-reactive protein and white cell count, blood levels of bilirubin, and alanine transaminase may be useful.

Objectives The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to date, the epidemic has gradually spread to 209 countries worldwide with more than 1.5 million infected people and 100,000 deaths. Amplification of viral RNA by rRT-PCR serves as the gold standard for confirmation of infection, yet it needs a long turnaround time (3-4 h to generate results) and shows false-negative rates as large as 15%-20%. In addition, the need of certified laboratories, expensive equipment and trained personnel led many countries to limit the rRT-PCR tests only to individuals with pronounced respiratory syndrome symptoms. Thus, there is a need for alternative, less expensive and more accessible tests. Methods We analyzed the plasma levels of white blood cells (WBCs), platelets, C-reactive protein (CRP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl transpeptidase (GGT), alkaline phosphatase and lactate dehydrogenase (LDH) of 207 patients who, after being admitted to the emergency room of the San Raffaele Hospital (Milan, Italy) with COVID-19 symptoms, were rRT-PCR tested. Of them, 105 tested positive, whereas 102 tested negative. Results Statistically significant differences were observed for WBC, CRP, AST, ALT and LDH. Empirical thresholds for AST and LDH allowed the identification of 70% of either COVID-19-positive or -negative patients on the basis of routine blood test results. Conclusions Combining appropriate cutoffs for certain hematological parameters could help in identifying false-positive/negative rRT-PCR tests. Blood test analysis might be used as an alternative to rRT-PCR for identifying COVID-19-positive patients in those countries which suffer from a large shortage of rRT-PCR reagents and/or specialized laboratory.

There is no marker that can accurately predict the development of pancreatic necrosis in edematous acute pancreatitis (AP). This study aimed to investigate the factors associated with necrosis development in cases of edematous AP and to create an easy-to-use scoring system. We retrospectively reviewed patients diagnosed with edematous AP between 2010 and 2021. Among the patients, those who were found to have developed necrosis during follow-up were categorized as the necrotizing group, whereas the others constituted the edematous group. With multivariate analysis, white blood cell, hematocrit, lactate dehydrogenase, and C-reactive protein levels at the 48th hour were revealed to be independent risk factors for necrosis. Using these 4 independent predictors, the Necrosis Development Score 48 (NDS-48) was derived. While the cutoff value was 2.5, the sensitivity and specificity of the NDS-48 for necrosis were 92.5% and 85.9%, respectively. The area under the curve value of the NDS-48 for necrosis was 0.949 (95% confidence interval, 0.920-0.977). White blood cell, hematocrit, lactate dehydrogenase, and C-reactive protein levels at the 48th hour are independent predictors of necrosis development. The NDS-48, a new scoring system created with these 4 predictors, satisfactorily predicted the development of necrosis.

The present study was conducted to compare some blood parameters of adult (2-3 years old) female Romanov and Hamdani sheep breeds subjected to the same climate and feeding conditions. For this purpose, blood samples were taken from 20 clinically healthy adult Romanov and 20 Hamdani sheep. Serum glucose, aspartate aminotransferase, triglyceride, total protein, gamma glutamyl transferase, urea, alanine aminotransferase, high-density lipoprotein, albumin, lactate dehydrogenase, blood urea nitrogen, amylase, alkaline phosphatase, creatine kinase, magnesium, c-reactive protein, creatinine, cholesterol and iron levels were examined. While statistically significant differences were determined in serum glucose, aspartate aminotransferase, triglyceride, gamma glutamyl transferase, urea, lactate dehydrogenase, blood urea nitrogen, alkaline phosphatase, creatine kinase, creatinine and iron levels in Romanov and Hamdani breed sheep (p0.05). As a result, it is thought that these data obtained from Romanov and Hamdani sheep breeds can be considered as reference values and will contribute to a better understanding of the metabolic and physiological characteristics of these breeds.

†† Purpose: Since most terminally ill cancer patients die of multiple organ failure, plasma endotoxin concentration levels may be used to predict the life expectancy. This study w as performed to evaluate the clinical significance of endotoxin level in plasma as a prognostic factor for survival in patients with terminal cancer. Methods: This study was conducted with 56 terminally ill cancer patients, abo ve 20 years old, from April 2009 through October 2009. Demographic characteristics, Karnofsky performance status, and survival time were evaluated. We analyzed blood levels of white blood cell hemoglobin, hematocrit, aspartate aminotransferase, alanine aminotransferase, c-reactive protein, total bilirubin and endotoxin in each patient. Results: We considered following variable for univariate analysis: plasma endotoxin level, sex, age, WBC, hemoglobin, hematocrit, AST, ALT, total bilirubin, CRP and severity of pain. Univariate analysis did not show a significant association between plasma endotoxin level and survival time. However, in a multivariate analysis wi th factors that were found to be significantly associated with survival sex, WBC count and total bilirubin lev el in univariate analysis, high levels of plasma endotoxin and short survival time were significantly related. Conclusion: Plasma endotoxin level could be used as a prognostic factor to predict the life expectancy of terminally ill cancer patients.

To investigate the predictive factors for plastic bronchitis (PB) in children with Mycoplasma pneumoniae pneumonia (MPP) and to establish a nomogram prediction model for PB occurrence. A retrospective analysis was conducted on children with MPP hospitalized at The Affiliated Hospital of Xuzhou Medical University from January 2023 to June 2024. The patients were randomly divided into a training set (n=562) and a validation set (n=240) at a ratio of 7:3 using simple random sampling. In the training set, patients were categorized into a PB group (n=70) and a non-PB group (n=492) based on the occurrence of PB. Spearman correlation analysis was performed to exclude collinearity among variables, followed by univariate analysis and LASSO regression to identify predictive factors. A nomogram prediction model for PB in children with MPP was constructed. The discriminative ability of the model was assessed using receiver operating characteristic (ROC) curve analysis, model calibration was evaluated with calibration curves, and clinical utility was appraised through decision curve analysis. Compared with the non-PB group, the PB group exhibited significantly longer disease duration prior to bronchoscopy, prolonged fever duration, higher fever peaks, higher proportions of patients with a family history of allergy and personal allergy history, and a higher proportion of patients with pleural effusion, as well as significantly elevated levels of white blood cell count, neutrophil percentage, C-reactive protein, procalcitonin, fibrinogen, D-dimer, aspartate aminotransferase, alanine aminotransferase, creatine kinase, lactate dehydrogenase, immunoglobulin A, and interleukin-6, along with a significantly lower lymphocyte percentage (all P<0.05). LASSO regression analysis identified pleural effusion, procalcitonin, D-dimer, and lactate dehydrogenase as major predictive factors for PB occurrence in children with MPP. The nomogram model based on these factors demonstrated good discriminative ability (area under the ROC curve: 0.852 in the training set and 0.830 in the validation set), with satisfactory calibration and clinical benefit. The nomogram prediction model based on pleural effusion, procalcitonin, D-dimer, and lactate dehydrogenase provides effective predictive performance for the occurrence of PB in children with MPP.