Objectives Spontaneous intracerebral hemorrhage (ICH) accounts for 10 to 20% of all types of stroke and is associated with high mortality and morbidity rates. Neuroinflammation caused by intracerebral blood includes resident microglia activation, infiltration of systemic immune cells, and production of cytokines, chemokines, extracellular proteases, and reactive oxygen species. Despite several findings demonstrating that an immature granulocyte (IG) count can be a prognostic indicator as an inflammatory parameter in many diseases, no studies conducted on ICH patients are available in the literature. Therefore, in this study, we aimed to investigate the relationship between the 30-day mortality rate and the IG count obtained at the time of admission in ICH patients. Methods Demographic characteristics and laboratory test results of patients, who were diagnosed with ICH and hospitalized accordingly upon arrival at the emergency ward in our tertiary care hospital in the period from January 2019 and December 2019, were recorded. The endpoint of the study was the examination of the relationship between the short-term mortality (within 30 days after hospitalization) and the IG count at admission. Results Seventy patients, who met the inclusion criteria, were included in the study. Of these patients, 40 (57.1%) were males and the mean age was 68.04 ± 13.08 years. Patients with poor prognosis had higher IG counts (p = 0.001). The 30-day mortality rate was 33.3% (11/33) in the high IG count (≥0.6) group and 5.4% (2/37) in the low IG count (< 0.6) group (p = 0.004). In the regression analysis, we found out a significant relationship of the IG count to the 30-day mortality, with an odds ratio of 5.157(95% CI = 0.914–29.087, p = 0.029). Conclusion An IG count can be obtained from a simple full blood count, is easy to apply, does not result in extra costs, and is used as a marker to predict the 30-day prognosis.
Background & Objective: Stroke is the most common cause of permanent disability and the most important cause of mortality. Acute ischemic stroke (AIS) reveals inflammation in the ischemic brain tissue. Ischemic tissue causes proinflammatory cytokine release and aggregation of immune cells. Therefore in this study, we aimed to investigate the role of immature granulocyte (IG) in showing 30-day mortality in patients with AİS. Methods: This study was designed as a single-centered, retrospective cohort study. Patients aged >18 years who were diagnosed with AIS in the tertiary emergency department were included in this study. Patients were divided into two groups as low (<0.6%) and high (≥0.6%) by IG values. Demographic and laboratory parameters were compared between the groups at admission to the emergency department. Results: Our study consisted of 172 patients diagnosed with AIS, who met the inclusion criteria. The average age of the study group was 69.19 ± 14.34 years, and 94 (54.7%) of the patients were male. 98 (56.9%) patients were in the low IG group, and 74 (43.1%) of them were in the poor outcome group. IG at the cut-off value of 1.3 was shown to predict mortality in patients with AIS with 80.5% sensitivity and 93.2% specificity (area under the curve: 0.715 95% CI: 0.623-0.807, p <0.001) Conclusion: The results of our study showed that IG is a new and simple predictor to predict 30-day prognosis in patients with AIS.
Background Coronavirus disease 2019 (COVID-19) causes significant mortality and morbidity in severe patients. Objective In this study, we aimed to examine the relationship between COVID-19 disease severity and peripheral perfusion index (PPI). Patients and Methods This prospective observational study included COVID-19 patients admitted to the tertiary hospital emergency department. Basal clinical and demographic data of the patients and PPI values at the time of admission were recorded. The patients were categorized to severe and nonsevere groups according to clinical severity. The relationship between COVID-19 severity and PPI was examined in comparison with the control group. Results A total of 324 patients who met the inclusion criteria were analyzed. COVID-19 (+) was detected in 180 of these patients. Ninety-two of the COVID-19 (+) patients were in the severe group, and 88 of them were in the non severe group. Note that 164 COVID-19 (–) patients were in the control group. PPI average was found to be 1.44 ± 1.12 in the severe group, and 3.69 ± 2.51 in the nonsevere group. PPI average was found to be significantly lower in the severe group than the nonsevere group (p< 0.01) As for the nonsevere group and control group, PPI averages were found to be 3.69 ± 2.51 and3.54 ± 2.32, respectively, and a significant difference was determined between the two groups (p< 0.05). PPI COVID-19 severity predicting activity was calculated as area under the curve: 0.833, sensitivity:70.4%, andspecificity:71%(p = 0.025) at 2.2 cutoff value. Conclusion The results of our study showed that PPI is an easy-to-apply and useful parameter in the emergency department in determining the severity of COVID-19 patients.
Introduction: Scoring systems are still valuable and valid for differential diagnosis of acute appendicitis (AA). Bedel Score is a new diagnostic tool with 7 parameters that can be easily applied. The aim of this study is to determine the diagnostic performance of the Bedel score in AA and compare it with the Alvarado score. Methods: Our study consisted of 95 patients as a prospective cohort who were admitted to our emergency department due to abdominal pain and were hospitalized with a preliminary diagnosis of AA. Bedel and Alvarado scores were calculated. The patients were categorized into two groups (positive and negative appendectomy) according to their histopathological diagnosis. Results: The study population consisted of 65 (68.4%) male and 30 (31.6%) female patients. The mean age of the patients was 34 (18-87) years. 81 (85.3%) of the patients had histopathologically confirmed AA. Median Alvarado score was significantly higher in patients with positive AA than those with negative AA (7 (range: 3-10) vs. 5 (range 3-7), p<0.001, respectively). Median Bedel score of positive AA patients were also significantly higher than those with negative AA (9 (range: 6-10) vs. 5 (range 2-8) p<0.001, respectively) In separating acute appendicitis from negative exploration, the threshold of the Alvarado score is 63% sensitivity for ?7, 85.7% specificity; The Bedel score had 80.2% sensitivity and 92.9% specificity for the threshold value ?7. Conclusion: Bedel score is fast, simple, easy to learn and apply, as well as an effective and practical scoring system with only 7 parameters. Keywords: Acute appendicitis, Alvarado score, New score, Negative appendectomy
Objective ST-segment elevation myocardial infarction (STEMI) is a serious, life-threatening disease. Inflammatory markers have recently become the focus of attention in the assessment of severity in the early stages of STEMI. This study aimed to evaluate the importance of immature granulocytes (IG) as a prognostic marker in STEMI. Methods Patients admitted to the coronary care unit with a diagnosis of STEMI and who underwent primary percutaneous coronary intervention (pPCI) within the period from January 1, 2019 to January 1, 2020, were retrospectively scanned. A total of 146 patients were analised; of these, 112 (76.7%) were male and 34 (33.3) were female, with a mean age of 62.65±14.06 years. Patients’ age, gender, haemogram, biochemistry, and mortality results were recorded. The patients were divided into two groups as low (<0.6) and high (≥0.6) IG levels and compared. Results The mean IG levels were significantly higher in the non-survivor group compared to the survivor group (1.12±0.22 vs. 0.50±0.28, P<0.001). Mortality rates were significantly higher in the high IG group compared to the low IG group (26.9% vs. 9.6%, P=0.006). IG was shown to predict mortality with a sensitivity of 72.2% and a specificity of 77.8% at a cut-off value of 0.65 (area under the curve: 0.740, 95% CI: 0.635-0.846, P<0.001). Conclusion High IG values in the blood collected at the time of admission to the emergency department are a marker of mortality in patients with STEMI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.