Utility of RDW in Prediction of Strangulation in Emergency Setting Hernias

2015 ◽  
Vol 100 (9-10) ◽  
pp. 1262-1264
Author(s):  
Okan Akturk ◽  
Baris Dogu Yildiz ◽  
Melih Karabeyoglu ◽  
Isıl Karabeyoglu
Keyword(s):  
Intestinal Ischemia ◽  
Surgical Intervention ◽  
Serum Markers ◽  
Emergency Setting ◽  
Red Cell ◽  
Cell Distribution ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Abdominal Hernias ◽  
Operative Findings

Most of the small bowel obstruction cases are due to adhesions and hernias. Identifying strangulated cases may save patients from consequences of unnecessary operations and save patients who need urgent intervention by early detection. Serum markers of intestinal ischemia may help to identify and detect strangulation. The aim of this study was to identify if certain blood values such as RDW can accurately predict presence of strangulation preoperatively. We reviewed files of 127 patients who were operated because of incarcerated abdominal hernias for serum biomarkers and evaluated them with the operative findings. Our results show that elevation in red cell distribution width and white blood cell count may reflect strangulation. These findings may be useful in identifying the strangulated cases that need urgent surgical intervention.

Mean Platelet Volume, Red Cell Distribution Width, and Complete Blood Cell Count Indices in Retinal Vein Occlusions

2020 ◽  
Vol 28 (1) ◽  
pp. 39-47
Author(s):  
Antonio Pinna ◽  
Tiziana Porcu ◽  
Jacopo Marzano ◽  
Francesco Boscia ◽  
Panagiotis Paliogiannis ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Red Cell ◽  
Cell Distribution ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Distribution Width ◽  
Retinal Vein Occlusions

scholarly journals Red cell distribution width is associated with future risk of incident stroke

2016 ◽  
Vol 115 (01) ◽  
pp. 126-134 ◽  
Author(s):  
Trygve S. Ellingsen ◽  
Tove Skjelbakken ◽  
Ellisiv B. Mathiesen ◽  
Inger Njølstad ◽  
Tom Wilsgaard ◽  
...  
Keyword(s):  
General Population ◽  
Blood Cell ◽  
Cell Count ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Risk Of Death

SummaryRed cell distribution width (RDW), a measure of the variability in size of the circulating erythrocytes, is associated with cardiovascular morbidity and mortality. We aimed to investigate whether RDW was associated with incident stroke and case fatality in subjects recruited from the general population. Baseline characteristics were obtained from 25,992 subjects participating in the fourth survey of the Tromsø Study, conducted in 1994/95. Incident stroke was registered from inclusion until December 31, 2010. Cox regression models were used to calculate hazard ratios (HR) with 95 % confidence intervals (95 % CI) for stroke, adjusted for age, sex, body mass index, smoking, haemoglobin level, white blood cell count, thrombocyte count, hypertension, total cholesterol, triglycerides, self-reported diabetes, and red blood cell count. During a median follow-up of 15.8 years, 1152 participants experienced a first-ever stroke. A 1 % increment in RDW yielded a 13 % higher risk of stroke (multivariable HR: 1.13, 95 % CI: 1.07–1.20). Subjects with RDW in the highest quintile compared to the lowest had a 37 % higher risk of stroke in multivariable analysis (HR: 1.37, 95 % CI: 1.11–1.69). Subjects with RDW above the 95-percentile had 55 % higher risk of stroke compared to those in the lowest quintile (HR: 1.55, 95 % CI: 1.16–2.06). All risk estimates remained unchanged after exclusion of subjects with anaemia (n=1102). RDW was not associated with increased risk of death within one year or during the entire follow-up after an incident stroke. RDW is associated with incident stroke in a general population, independent of anaemia and traditional atherosclerotic risk factors.

scholarly journals Prognostic Value of the Hemoglobin/Red Cell Distribution Width Ratio in Resected Lung Adenocarcinoma

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 710
Author(s):  
Francesco Petrella ◽  
Monica Casiraghi ◽  
Davide Radice ◽  
Andrea Cara ◽  
Gabriele Maffeis ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Lung Adenocarcinoma ◽  
Disease Free Survival ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Free Survival ◽  
Node Involvement ◽  
Disease Free

Background: The ratio of hemoglobin to red cell distribution width (HRR) has been described as an effective prognostic factor in several types of cancer. The aim of this study was to investigate the prognostic role of preoperative HRR in resected-lung-adenocarcinoma patients. Methods: We enrolled 342 consecutive patients. Age, sex, surgical resection, adjuvant treatments, pathological stage, preoperative hemoglobin, red cell distribution width, and their ratio were recorded for each patient. Results: Mean age was 66 years (SD: 9.0). There were 163 females (47.1%); 169 patients (49.4%) had tumors at stage I, 71 (20.8%) at stage II, and 102 (29.8%) at stage III. In total, 318 patients (93.0%) underwent lobectomy, and 24 (7.0%) pneumonectomy. Disease-free survival multivariable analysis disclosed an increased hazard ratio (HR) of relapse for preoperative HRR lower than 1.01 (HR = 2.20, 95%CI: (1.30–3.72), p = 0.004), as well as for N1 single-node (HR = 2.55, 95%CI: (1.33–4.90), p = 0.005) and multiple-level lymph node involvement compared to N0 for both N1 (HR = 9.16, 95%CI:(3.65–23.0), p < 0.001) and N2 (HR = 10.5, 95%CI:(3.44–32.2, p < 0.001). Conclusion: Pre-operative HRR is an effective prognostic factor of disease-free survival in resected-lung-adenocarcinoma patients, together with the level of pathologic node involvement.

scholarly journals Red cell distribution width and erythrocyte osmotic stability in type 2 diabetes mellitus

2021 ◽  
Vol 25 (5) ◽  
pp. 2505-2516
Author(s):  
Maria Aparecida Knychala ◽  
Mario da Silva Garrote‐Filho ◽  
Breno Batista da Silva ◽  
Samantha Neves de Oliveira ◽  
Sarah Yasminy Luz ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Red Cell Distribution Width ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Osmotic Stability
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