[ Ana Sayfa | Editörler | Danışma Kurulu | Dergi Hakkında | İçindekiler | Arşiv | Yayın Arama | Yazarlara Bilgi | E-Posta ]
Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi
2024, Cilt 38, Sayı 2, Sayfa(lar) 157-163
[ Özet ] [ PDF ] [ Benzer Makaleler ] [ Yazara E-Posta ] [ Editöre E-Posta ]
Sepsisli Buzağılarda Hematoloji ve Kan Gazı Parametrelerin Değerlendirilmesi
Cennet Nur ÜNAL, Peşivan USLU
Faculty of Veterinary Medicine, Department of Internal Medicine, Bingöl, TÜRKİYE
Anahtar Kelimeler: Buzağı, sepsis, MPV, MLO, ishal
Özet
Bu çalışmada ishale bağlı sepsis gelişen buzağılarda hematolojik indeksler (monosit/lenfosit oranı (MLO), eritrosit dağılım genişliği (RDW), ortalama trombosit hacmi (MPV)) ve kan gazı (kısmi oksijen basıncı (pO2), kısmi karbondioksit basıncı (pCO2), laktat, sodyum (Na+), potasyum (K+), klor (Cl-), bikarbonat (HCO3-) pH, anyon açığı (AG) ve baz fazlalığı (BE)) parametrelerinin diagnostik olarak değerlendirilmesi amaçlanmıştır. Çalışma materyalini ishal şikâyeti ile getirilen 1-28 günlük 20 sepsisli (sepsis) ve 10 sağlıklı buzağı (kontrol) olmak üzere iki grup oluşturdu. Sistemik inflamatuar yanıt sendromu (SIRS) tanısı konan buzağılardan alınan dışkı örnekleri Rotavirüs, Koronavirüs, Escherichia coli, Cryptosporidium parvum ve Giardia lamblia yönünden immunokromatografik test kitleri ile analiz edildi. Total lökosit sayısı (WBC), lenfosit (LYM), monosit (MON), hematokrit (HCT), RDW ve MPV, pO2, pCO2, laktat, Na+, K+, Cl-, HCO3-, pH, AG ve BE parametrelerinin ölçümü yapıldı. Sepsis grubunun WBC (P<0.010), MON (P<0.001), MPV (P<0.001) ve MLO (P<0.001) değerleri kontrol grubuna göre istatistiksel olarak yüksek bulundu. Sepsis grubunda pH (P<0.001), HCO3- (P<0.001) ve BE (P<0.001) değerleri kontrol grubuna göre anlamlı olarak düşük bulundu. Sepsis grubunda K+ (P<0.003) ve AG (P<0.001) konsantrasyonları kontrol grubuna göre anlamlı olarak yüksek bulundu. Sepsis tanısında MON’da eğri altındaki alan 0.895, duyarlılık %80, özgüllük %75; RDW'de eğri altındaki alan 0.840, duyarlılığı %80 ve özgüllüğü %75'tir; MPV için 0,915 eğri altındaki alan, %100 duyarlılık ve %90 özgüllük; MLO için eğri altındaki alan 0.910, %80 duyarlılık ve %80 özgüllük olarak belirlendi. Sonuç olarak, buzağılarda meydana gelen sepsisde MPV ve MLO parametrelerinin tanıda değerli olduğu düşünülmektedir.
  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • Giriş
    The 1-28-day period, defined as the neonatal period in calves, is important in protecting calf health. During this period, diarrhea, pneumonia, and sepsis, which occur due to various reasons, cause high morbidity and mortality in calves1,2. Neonatal sepsis, which occurs due to diarrhea in calves, allows opportunistic intestinal pathogens to enter the systemic circulation, causing bacterial, viral, or parasitological factors to damage the intestinal mucosa3. Systemic inflammatory response syndrome (SIRS) occurs with the activation of acute endogenous mediators as a defense response against the inflammatory situation caused by these infectious agents2. The most common causes of death from sepsis include nonspecific clinical symptoms and delayed diagnosis of sepsis1. Definitive antemortem diagnosis of sepsis is made with positive blood cultures. However, it is known that results can be obtained after 48-72 hours and false negative culture findings are common3. Various biomarkers, such as tumor necrosis factor-alpha, interleukin-6, procalcitonin, haptoglobin, and fibrinogen, have been investigated to diagnose sepsis in calves2. However, it is not yet widely used in clinical settings due to reasons such as its high cost and the need for a laboratory environment and personnel to implement it4.

    Hematological and blood gas analysis are economically affordable analysis methods that can be easily applied at the bedside in the clinic and provide rapid results 5,6. The first changes that respond to any disruption in homeostasis related to the blood and hematopoietic system are hematological parameters. Identifying these changes guides the search for diagnosis and plays a key role in monitoring the effectiveness of treatment7,8. With the developments in medical technologies in recent years, automatic hematology devices analyze many different parameters such as WBC, LYM, MON, HCT, erythrocyte distribution width RDW and MPV4,9. These parameters are used frequently in the evaluation of the diagnosis and prognosis of different disease conditions in cats and dogs. Unfortunately, no study has evaluated or revealed the specified hematological index in calves with sepsis.

    Blood gas analysis is an auxiliary diagnostic method for detecting metabolic or respiratory disorders that cause pH changes in the blood, determining their severity, and facilitating follow-up after treatment10. Electrolyte and acid-base imbalances due to calf diarrhea are inevitable. For this reason, blood gas analysis are one of the most important auxiliary tools for management of treatment and monitoring of the disease, especially in calves with diarrhea5,6. In calves with sepsis, the diagnostic significance of hematological index (MLR, RDW, MPV) and blood gas parameters (pO2, pCO2, lactate, Na+, K+, Cl-, HCO3-, pH, AG, and BE) have not been investigated. For this reason, the present study aimed to evaluate hematological and blood gas parameters in calves that developed sepsis due to diarrhea.

  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • Materyal ve Metot
    Research and Publication Ethics: This study was started after the approval of Bingöl University Animal Experiments Local Ethics Committee (Bingöl University HADYEK Meeting Number: 2024/01 Decision No: 01/07).

    Animal Selection and Grouping: It consists of a total of 30 calves aged between 1 and 28 days, brought to Bingöl University Veterinary Faculty Animal Hospital Internal Medicine Department Polyclinic with complaints of diarrhea. The sepsis group consists of 20 calves with acute diarrhea, while 10 calves determined to be healthy constitute the control group. Clinical Examination and Sepsis Diagnosis: After systematic clinical examinations of all animals (rectal temperature, heart rate, and respiratory rate), body temperature was more than 39.5 °C or less than 38.5 °C, heart rate was more than 160/min or less than 100/min, respiratory rate was more than 36/min, and total leukocyte count was more than 12.000/mm3 or less than 4000/mm3. SIRS was considered positive in the presence of at least two of the existing criteria1,11-13. SIRS is defined as infection or suspected infection leading to the onset of sepsis11,14. In order to diagnose sepsis, the patient must have at least 2 SIRS criteria and a confirmed etiological factor11,14,15. Fecal samples taken from calves were analyzed with immunochromatographic test kits (Anigen Rapid BoviD-5 Ag, Bionote, Inc. Korea) for Rotavirus, Coronavirus, Escherichia coli, Cryptosporidium parvum and Giardia lamblia. Calves with SIRS-positive diarrhea were considered to have sepsis in the presence of the agent in the feces and were included in the study. Calves outside the age range of 1-28 days, calves with chronic diarrhea, those receiving antibiotic treatment, those with congenital diseases, those not receiving colostrum, calves with diarrhea but no causative agent identified were excluded from the study. The control group calves were composed of animals that did not have any problems in clinical examination findings, hematological, biochemical and blood gas analyses.

    Sample Collection, Hematology and Blood Gas Analysis: From all animals included in the study, 3 mL blood samples were taken into EDTA (BD Vacutainer®, Plymouth, UK) tubes for hematological examinations, and 2 mL blood samples were taken into heparin syringes for blood gas analyses. An automated hematology device (Benesphera H-31, USA) performed WBC, LYM, MON, HCT, RDW, and MPV analyses, while a blood gas device (Wondfo BGA-102) measured the parameters pCO2, lactate, Na+, K+, Cl-, HCO3-, pH, AG, and BE.

    Statistical analysis: Statistical analysis of the data was performed using SPSS 26 (IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.). Data are presented as mean ± standard deviation, minimum-maximum values. Whether the data had a normal distribution was evaluated with the Shapiro-Wilk test. To determine the differences between the sepsis group and the control group, the Mann-Whitney U test was applied for data showing a nonparametric distribution, and the independent sample T test was applied for data showing a parametric distribution. Receiver Operating Characteristic (ROC) analysis was performed to determine under the curve (AUC), sensitivity, specificity and cut-off values of the parameters. According to the AUC values of the parameters, 0.500 was considered non-diagnostic, 0.600-0.700 was considered to have poor diagnostic performance, 0.700-0.800 was considered to be in the acceptable diagnostic range, 0.800-0.900 was considered good, and above 0.900 was considered to have very good diagnostic performance (16). The statistical significance level between groups was accepted as P value <0.05.

  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • Bulgular
    Table 1 presents the etiological factors and their percentages detected in the calves in the sepsis group. In the presented study, rotavirus was seen in 50%, coronavirus in 20%, Cryptosporidium parvum in 15%, Giardia lamblia in 10%, and coronavirus + Cryptosporidium parvum + Giardia lamblia in 5%. It was determined that the sepsis group of calves in the study was 12.05±1.33 days old on average, while the control group calves were 10.70±0.66 days old. Table 2 presents the statistical analysis of the clinical examination findings. Heart rate (P<0.011) and respiratory rate (P<0.009) were found to be significantly higher in the sepsis group compared to the control group. Body temperature did not differ significantly between the sepsis and control groups (P>0.690). Table 3 displays the statistical significance levels and minimum-maximum values of the hematological analysis results for calves in the sepsis and control groups. The WBC (P<0.010), MON (P<0.001), MPV (P<0.001), and MLR (P<0.001) values of the sepsis group were found to be statistically higher than the control group. Blood gas analysis results for sepsis and control group calves are presented in Table 4. pH (P<0.001), HCO3-(P<0.001), and BE (P<0.001) values were found to be significantly lower in the sepsis group than in the control group. K+ (P<0.003) and AG (P<0.001) concentrations were found to be significantly higher in the sepsis group than in the control group. No statistically significant difference was detected between the sepsis and control groups in terms of pCO2 (P>0.322), pO2 (P>0.627), Na+ (P>0.628), Cl-(P>0.192), and lactate (P>0.792) parameters.


    Büyütmek İçin Tıklayın
    Table 1: Etiological factors detected in calves with sepsis


    Büyütmek İçin Tıklayın
    Table 2: Clinical examination findings and statistical significance of calves with sepsis and control groups


    Büyütmek İçin Tıklayın
    Table 3: Descriptive statistics and significance levels of hematology analyzes in sepsis and control group calves


    Büyütmek İçin Tıklayın
    Table 4: Descriptive statistics and significance levels of blood gas analyzes in sepsis and control group calves

    The ROC analysis of hematological parameters is presented in Table 5 and Figure 1. The AUC value of WBC in calves with sepsis was determined to be 0.793, with a with a sensitivity 70%, a specificity 70%, and a cut-off 11.75.In the diagnosis of sepsis, the MON AUC value was determined to be 0.895, the sensitivity was 80%, the specificity was 75%, and the cut-off was 1.65. The AUC of RDW in the diagnosis of sepsis was determined as 0.840, sensitivity 80%, specificity 75%, and cut-off 41.05. In the HCT diagnosis of sepsis, the AUC was determined to be 0.698, the sensitivity was 60%, the specificity was 70%, and the cut-off was 28.00. An AUC of 0.915, 100% sensitivity, 90% specificity, and a cut-off value of 9.35 were determined for MPV in the diagnosis of sepsis. In the diagnosis of sepsis, MLR, 0.910 AUC, 80% sensitivity, 80% specificity, and 0.37 cut-off values were determined.


    Büyütmek İçin Tıklayın
    Table 5: ROC analysis of hematological parameters


    Büyütmek İçin Tıklayın
    Figure 1: ROC analysis of hematological parameters

  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • Tartışma
    Early recognition of sepsis-related problems in calves before they become irreversible is vital for the life of the calf and is very important in preventing or reducing sepsis-related diseases and deaths. However, sepsis biomarker research and development studies are considered an important priority due to the fact that sepsis symptoms in newborn calves are nonspecific and blood cultures are obtained after 48–72 hours1,3,17. Blood gas and hematological analyses provide useful information in the diagnosis of diseases affecting many organs and systems5,18. In this regard, the aim of the present study was to investigate the diagnostic utility of hematologic indices and blood gas parameters in calves with sepsis.

    Monocytes are a subset of circulating white blood cells that can differentiate into macrophages and dendritic cells19. Monocytes and macrophages are known to play an important role in the immune response against microorganisms as well as in the pathogenesis of sepsis20. Studies have also demonstrated that monocytes actively initiate cellular immune responses and participate in the humoral response in hosts infected with enteric pathogens21,22. Activation of different receptors (Toll-like receptors 1-2) that play a part the inflammation of monocytes in sepsis has also been seen in humans19,23. In the presented study, it was determined that the number of monocytes in the sepsis group was significantly high and showed good diagnostic performance (AUC = 0.895, sensitivity = 80%, specificity = 75%) in the recognition of sepsis. The monocyte values obtained in this study are similar to the results of Chae et al.24, Naseri et al.25 and Kim and al.22 and are different from those of Naseri and İder26 and Akyuz et al. 27. The reason for the differences between studies may be related to the immune system of the animals and the variable course of monocyte numbers in cattle18.

    RDW is the coefficient of variation of erythrocyte (RBC) volume and reflects the heterogeneity of RBC size28. Increased RDW in cattle is associated with other trace mineral deficiencies associated with iron deficiency and macrocytic/microcytic anemia 18. However, studies have shown that the RDW value indicates systemic inflammation in horses28, dogs29, and humans30 and can be used diagnostically in determining infectious conditions. In recent years, studies have been conducted on the RDW parameter in calves with diarrhea, but the change in RDW concentration in calves developing sepsis due to diarrhea has not been evaluated. In studies conducted on calves with diarrhea by many researchers31,32,33, it has been reported that the RDW value does not show a statistically significant difference between groups. However, in this study, it was determined that the RDW value of the sepsis group was significantly higher than the control group. Additionally, the RDW variable showed good diagnostic properties (AUC = 0.840, sensitivity = 80%, specificity = 75%) in determining sepsis. Proinflammatory cytokines suppress erythropoietin-induced erythrocyte maturation and proliferation and downregulate erythropoietin receptor expression, which may be the cause of the increase in RDW in sepsis (30, 34). Therefore, in the presented study, it is thought that the increase in RDW is due to the inflammatory response caused by sepsis.

    Platelets are important for stopping bleeding, but they are also inflammatory cells that can connect the immune system's humoral and cellular responses with molecular pathways and synthetic abilities that have not been known before35. The MPV value obtained from the platelet histogram shows the average volume of platelets. It is known that in cases where platelet production decreases, such as sepsis, younger platelets, which are larger and more active, enter the circulation, and therefore MPV levels increase36. Significant increases in MPV levels have been in dogs with various inflammatory diseases37, horses38 and humans39. In cattle infected with the Bovine viral diarrhea virus40 and sepsis infected cattle41 MPV is said to be used as a diagnostic and prognostic marker. In this study, consistent with previous studies, it was determined that the MPV level was significantly higher in the sepsis group and that MPV showed very good diagnostic performance (AUC = 0.925, sensitivity = 100%, specificity = 90%) in the diagnosis of sepsis.

    In inflammatory diseases, a variety of hematological rates can be used both for diagnosis and prognosis. (41). An increase in the thrombocyte/lymphocyte ratio (PLR) in cats and dogs with acute pancreatitis has been attributed to the ability of the platelets to modulate phagocytosis and leukocyte function.42. By Gavazza et al.43 in lymphoma dogs, neutrophil-lymphocyte ratio (NLR), thrombocytes/neutrophils (PNR), MLR, thrombocyte volume/thrombocyte (MPV/PLT) ratio have been to be useful parameters in the early diagnosis of a subclinical condition.

    Aydın9 reported that NLR, lymphocyte/monocyte ratio (LMR) in calves with diarrhea, Yanar et al.41 evaluated NLR and PLR values may have potentials as indicators of inflammation in calves with sepsis. Likewise, in the presented study, it was determined that the MLR value of the sepsis group was significantly higher and showed very good diagnostic performance (AUC = 0.910, sensitivity = 80%, and specificity = 80%) in the recognition of sepsis.

    Determination of acid-base balance is determined by changes in pH, HCO3-, BE and AG in plasma44-46. Metabolic acidosis classically results from an initial loss of intestinal HCO3- as well as a decrease in glomerular filtration rate in response to severe dehydration6,45,47. In the presented study, consistent with the data in the literature6,46,48, pH, HCO3- and BE concentrations were found to be low and AG levels were high in the sepsis group compared to the control group. It is stated that changes in these blood gas parameters are caused by changes in dehydration and acidemia6. In calves with diarrhea, changes in electrolyte concentrations occur, as well as acidemia and dehydration6,44. Although potassium loss occurs due to the increased amount of feces as a result of diarrhea, calves may be hyperkalemic, normokalemic or hypokalemic in this study, K+ concentrations were found to be significantly higher in the sepsis group compared to the control group. It is reported that the increase in K+ concentrations in the blood during metabolic acidosis is due to the buffering mechanism of hydrogen ions entering the cells46. In addition, it is stated that hyperphosphatemia and the decrease in kidney function due to dehydration also contribute to hyperkalemia48.

    As a result, in this study, changes in hematological and blood gas analyzes in diarrhea calves that developed sepsis were determined. In the diagnosis of sepsis, it was determined that WBC had moderate diagnostic properties, monocyte and RDW had good diagnostic properties, and MPV and MLR had very good diagnostic properties. In future studies, it would be useful to classify hematological indices according to the etiology of sepsis and evaluate them in studies with a large population.

  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • Kaynaklar

    1) Bonelli F, Meucci V, Divers TJ, et al. Plasma procalcitonin concentration in healthy calves and those with septic systemic inflammatory response syndrome. Vet J 2018; 234: 61-65.

    2) Akyüz E, Gökce G. Neopterin, procalcitonin, clinical biochemistry, and hematology in calves with neonatal sepsis. Trop Anim Health Prod 2021; 53: 354.

    3) Lofstedt J, Dohoo, IR, Duizer G. Model to predict septicemia in diarrheic calves. J Vet Intern Med 1999; 13: 81-88.

    4) Dinler Ay, C. Neutrophil to lymphocyte ratio as a prognostic biomarker in puppies with acute diarrhea. J Vet Emerg Crit Care 2022; 32: 83-89.

    5) Sayers RG, Kennedy A, Krump L, Sayers GP, Kennedy E. An observational study using blood gas analysis to assess neonatal calf diarrhea and subsequent recovery with a European Commission-compliant oral electrolyte solution. J Dairy Sci 2016; 99: 4647-4655.

    6) Choi KS, Park KM, Kang JH, et al. “Electrolyte concentrations and blood gas values in neonatal calves with diarrhea. 2021”. https://www.researchgate.net/ publication/354226274_Electrolyte_Concentrations_and_Blood_Gas_Values_in_Neonatal_Calves_With_Diarrhea /20.02.2024.

    7) Aktas G, Sit M, Dikbas O, et al. Elevated neutrophil-to-lymphocyte ratio in the diagnosis of Hashimoto's thyroiditis. Rev Assoc Med Bras 2017; 63: 1065-1068.

    8) İssi M, Gül Y, Bașbuğ O, Șahin N. Clinical, haematological and some biochemical parameters with serum cobalt and vitamin B12 levels in cattle with tropical theileriosis. Kafkas Üniv Vet Fak Derg 2010; 16: 909-913.

    9) Aydın Ö. Evaluation of neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio, and serum iron levels as an inflammatory marker in calves with diarrhea. Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi 2024; 38: 82-91.

    10) Juel C. Expression of the Na+/H+ exchanger isoform NHE1 in rat skeletal muscle and effect of training. Acta Physiol Scand 2000; 170: 59-63.

    11) Fecteau G, Pare J, Van Metre DC, et al. Use of a clinical sepsis score for predicting bacteremia in neonatal dairy calves on a calf rearing farm. Can Vet J 1997; 38: 101.

    12) Trefz FM, Feist M, Lorenz I. Hypoglycaemia in hospitalised neonatal calves: Prevalence, associated conditions and impact on prognosis. Vet J 2016; 217: 103-108.

    13) Aygun O, Yildiz R. Evaluation of thrombomodulin and pentraxin-3 as diagnostic biomarkers in calves with sepsis. Vet Med 2018; 63: 313-320.

    14) Sağiroğlu M, Uztimür M, Kizil Ö. The diagnostic importance of serum heparan sulfate, surfactant protein-D and srage levels in calves with sepsis. F Ü Sağ Bil Vet Derg 2023; 37: 122-126.

    15) Levy MM. International sepsis definitions conference. Crit Care Med 2003; 31: 1250-1256.

    16) Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd Edition, New York: John Wiley & Sons Inc, 2000.

    17) Pierce JD, McCabe S, White N, Clancy RL. Biomarkers: An important clinical assessment tool. Am J Nurs 2012; 112: 52-58.

    18) Roland L, Drillich M, Iwersen M. Hematology as a diagnostic tool in bovine medicine. J Vet Diagn Invest 2014; 26: 592-598.

    19) Munoz C, Carlet J, Fitting C, et al. Dysregulation of in vitro cytokine production by monocytes during sepsis. J Clin Invest 1991; 88: 1747-1754.

    20) Haveman JW, Kobold AM, Tervaert JC, et al. The central role of monocytes in the pathogenesis of sepsis: Consequences for immunomonitoring and treatment. Neth J Med 1999; 55: 132-141.

    21) Taubert A, Behrendt JH, Sühwold A, Zahner H, Hermosilla C. Monocyte-and macrophage-mediated immune reactions against Eimeria bovis. Vet Parasitol 2009; 164: 141-153.

    22) Kim S, Yu DH, Jung S, et al. Biological factors associated with ınfectious diarrhea in calves. Pak Vet J 2021; 41: 531-537.

    23) Brunialti MKC, Martins PS, de Carvalho HB, et al. TLR2, TLR4, CD14, CD11B, and CD11C expressions on monocytes surface and cytokine production in patients with sepsis, severe sepsis, and septic shock. Shock 2006; 25: 351-357.

    24) Chae JB, Park J, Jung SH, et al. Acute phase response in bovine coronavirus positive post-weaned calves with diarrhea. Acta Vet Scand 2019; 61: 1-5.

    25) Naseri A, Sen I, Turgut K, Guzelbektes H, Constable PD. Echocardiographic assessment of left ventricular systolic function in neonatal calves with naturally occurring sepsis or septic shock due to diarrhea. Res Vet Sci 2019; 126: 103-112.

    26) Naseri A, İder M. Comparison of blood gases, hematological and monitorization parameters and determine prognostic importance of selected variables in hypotensive and non-hypotensive calves with sepsis. Eurasian J Vet Sci 2021; 37: 1-8.

    27) Akyüz E, Sezer M, Kuru M, Naseri A. Changes in hematology, some clinical biochemical parameters and mineral levels in neonatal calves with sepsis due to diarrhea. Van Veterinary Journal 2022; 33: 26-30.

    28) Ramires LM, Monteiro FNB, Ishida AC, et al. Red blood cell distribution width in quarter horses: a comparison between healthy and hospitalized animals. J Equine Vet Sci 2019; 73: 127-130.

    29) Miglio A, Valente C, Guglielmini C. Red blood cell distribution width as a novel parameter in canine disorders: literature review and future prospective. Animals 2023; 13: 985.

    30) Hodeib M, Morgan D, Hedaya A, Waked N. A study of elevated red cell distribution width (RDW) in early-onset neonatal sepsis. Egypt Paediatr Assoc 2022; 70: 21.

    31) Song RH, Kang JH, Park KM, Youm JH, Park JH. Analysis of hematological changes in normal and diarrhea calves. Korean J Vet Serv 2020; 43: 161-165.

    32) Ider M, Naseri A, Erturk A. The relationship between hemogram parameters and mortality in neonatal calves with diarrhea. Eurasian Journal of Veterinary Sciences 2023; 39: 9-17.

    33) Yılmaz NK. Evaluation of hemogram parameters in neonatal diarrhoeic calves with and without gastrointestinal protozoa infections. Turkish Journal of Veterinary Research 2023; 7: 33-37.

    34) Jo YH, Kim, K., Lee, J. H, et al. Red cell distribution width is a prognostic factor in severe sepsis and septic shock. Am J Emerg Med 2013; 31: 545-548.

    35) Weyrich AS, Zimmerman GA. Platelets: Signaling cells in the immune continuum. Trends Immunol 2004; 25: 489-495.

    36) Bhat R. Platelet indices in neonatal sepsis: A review. World J Clin Infect Dis 2017; 7: 6-10.

    37) Moritz A, Walcheck BK, Weiss DJ. Evaluation of flow cytometric and automated methods for detection of activated platelets in dogs with inflammatory disease. Am J Vet Res 2005; 66: 325-329.

    38) Schliewert EC, Hooijberg EH, Steyn JS, et al. Experimental infection with African Horse Sickness Virus in horses induces only mild temporal hematologic changes and acute phase reactant response. Am J Vet Res 2022; 83: 1-11.

    39) Wang J, Wang Z, Zhang M, et al. Diagnostic value of mean platelet volume for neonatal sepsis: A systematic review and meta-analysis. Medicine 2020; 99: e21649.

    40) Alsaad KM, Al-Obaidi QT, Hassan SD. Clinical, haematological and coagulation studies of bovine viral diarrhoea in local Iraqi calves. Bulg J Vet Med 2012; 15: 44-50.

    41) Yanar KE, Eren E, Aktaş MS, et al. Prognostic potential of inflammatory markers, oxidative status, thrombocyte indices, and renal biochemical markers in neonatal calf diarrhoea-induced systemic inflammatory response syndrome. Vet Immunol Immunopathol 2023; 265: 110680.

    42) Neumann S. 2021. Neutrophil‐to‐lymphocyte and platelet‐to‐lymphocyte ratios in dogs and cats with acute pancreatitis. Vet Clin Pathol 2021; 50: 45-51.

    43) Gavazza A, Arianna M, Chiara S, et al. Hematological ratios and indexes in canine lymphoma. In Proceedings 24th Annual Congress of the European Society of Veterinary Clinical Pathology (ESVCP) 2022; 149-150.

    44) Trefz FM, Lorenz I, Constable PD. Dependence of the apparent bicarbonate space on initial plasma bicarbonate concentration and carbon dioxide tension in neonatal calves with diarrhea, acidemia, and metabolic acidosis. J Vet Intern Med 2021; 35: 644-654.

    45) İssi M, Ünal C.N. Kan gazı analizi ve yorumlanması. İn. Keçeci H, Öztürk M. Sağlık Alanında Akademik Araştırma ve Değerlendirmeler. Ankara: iksad publishing house, 2022: 97-116.

    46) Lee SH, Choi EW, Kim D. Relationship between the values of blood parameters and physical status in Korean native calves with diarrhea. J Vet Sci 2020; 21: 1-11.

    47) Constable PD, Stämpfli HR, Navetat H, Berchtold J, Schelcher F. Use of a quantitative strong ion approach to determine the mechanism for acid—base abnormalities in sick calves with or without diarrhea. J Vet Intern Med 2005; 19: 581-589.

    48) Trefz FM, Constable PD, Sauter-Louis C, et al. Hyperkalemia in neonatal diarrheic calves depends on the degree of dehydration and the cause of the metabolic acidosis but does not require the presence of acidemia. J Dairy Sci 2013; 96: 7234-7244.

  • Başa Dön
  • Özet
  • Giriş
  • Materyal ve Metot
  • Bulgular
  • Tartışma
  • Kaynaklar
  • [ Başa Dön ] [ Özet ] [ PDF ] [ Benzer Makaleler ] [ Yazara E-Posta ] [ Editöre E-Posta ]
    [ Ana Sayfa | Editörler | Danışma Kurulu | Dergi Hakkında | İçindekiler | Arşiv | Yayın Arama | Yazarlara Bilgi | E-Posta ]