Is there a predictive value of the preoperative neutrophil-lymphocyte ratio in terms of intensive care need in geriatric patients who underwent pertrochanteric fracture surgery?

Author(s):  
Ahmet Fevzi Kekeç
Author(s):  
Ömer Faruk Altaş ◽  
Mehmet Kızılkaya

Objective: In this study, we aimed to reveal the level of predicting mortality of the Neutrophil/Lymphocyte (NLR) and Platelet/Lymphocyte Ratios (TLR) calculated in patients hospitalized with the diagnosis of pneumonia in the intensive care unit when compared with other prognostic scores. Method: The hospital records of 112 patients who were admitted to the intensive care unit between January 2015 and January 2018 and met the inclusion criteria were retrospectively reviewed. The patients’ demographic data, the NLR and PLR levels, and the APACHE II (Acute Physiology and Chronic Health Evaluation II) and SOFA (Sequential Organ Failure Assessment) scores were calculated from the patient files. Results: Of the 112 patients examined, 70 were males. The risk analysis showed that the male gender had 2.7 times higher risk of mortality. The NLR, PLR, APACHE II, and SOFA values were found statistically significant in predicting mortality (p<0.001). An evaluation of the risk ratios demonstrated that each one point increase in the NLR increased the mortality risk by 5%, and each one point increase in the SOFA score increased the mortality risk by 13% (p<0.05). In the ROC (receiver operating characteristic) analysis, the NLR assessment proved to be the most powerful, most specific, and sensitive test. The cut-off values were 11.3 for the NLR, 227 for the PLR, 29.8 for the APACHE II scores, and 5.5 for the SOFA scores. Conclusion: We believe that NLR and PLR are strong and independent predictors of mortality that can be easily and cost-effectively tested.


Author(s):  
Eduarda Cristina Martins ◽  
Lilian da Fe Silveira ◽  
Karin Viegas ◽  
Andrea Diez Beck ◽  
Geferson Fioravantti Júnior ◽  
...  

2011 ◽  
Vol 35 (12) ◽  
pp. 2717-2722 ◽  
Author(s):  
Masaki Aizawa ◽  
Naoto Gotohda ◽  
Shinichiro Takahashi ◽  
Masaru Konishi ◽  
Taira Kinoshita

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Hirofumi Bekki ◽  
Takeshi Arizono ◽  
Daiki Hama ◽  
Akihiko Inokuchi ◽  
Takahiro Hamada ◽  
...  

Background. The diagnosis of osteoporosis is based on bone mineral density measurements expressed as a percentage of the young adult mean (YAM) in Japan. Osteoporosis is defined as YAM <70%, and intervention is recommended at this cutoff. Because osteoporosis has a strong association with systemic metabolic disorders, we postulated that patients with YAM <70% had higher inflammatory biomarker concentrations owing to the higher systemic stress compared with YAM >70%. Method. We retrospectively reviewed 94 patients with low-trauma hip fractures. Blood examinations were performed on postoperative day (POD) 1 and POD 7. We used neutrophil lymphocyte ratio (NLR) and monocyte lymphocyte ratio (MLR) to evaluate postoperative recovery. After dividing the 94 patients into two groups according to a YAM cutoff of 70%, we compared the differences in NLR and MLR. Results. On POD 1, patients with YAM >70% had a median NLR of 5.7 and a median MLR of 0.66, which were significantly lower than for patients with YAM <70% (8.8 and 0.9, respectively). Similarly, on POD 7, patients with YAM >70% had a median NLR of 2.0 and a median MLR of 0.31, which were significantly lower than for patients with YAM <70% (3.5 and 0.43, respectively). Conclusion. A YAM cutoff of 70% is an appropriate intervention threshold regarding postoperative recovery after hip fracture surgery. Mini-Abstract. Patients with YAM >70% showed lower NLR and MLR on POD 1 and POD 7. A YAM cuffoff of 70% is an appropriate intervention threshold regarding postoperative recovery after hip fracture surgery.


2019 ◽  
Vol 20 (-1) ◽  
pp. 9-9
Author(s):  
Nazli Deniz Atik ◽  
◽  
Esra Bahcivan ◽  
Pervin Korkmaz Ekren ◽  
Funda Elmas Uysal ◽  
...  

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 462-462
Author(s):  
Matthew Doepker ◽  
Kabisa Baughen ◽  
Richard H. Brown ◽  
Steven Kucera ◽  
Justin Lee ◽  
...  

462 Background: Accurate predictors of node positivity and metastatic disease for patients with gastrointestinal (GI) malignancies are currently lacking. Neutrophil-lymphocyte ratio (NLR), and platelet lymphocyte ratio (PLR) have been introduced as a possible prognostic scoring system. We sought to evaluate the accuracy of NLR and PLR in predicting advanced disease in patients with GI malignancies. Methods: We queried a prospective GI oncology database to identify 116 patients. NLR and PLR were calculated from complete blood counts before and after neoadjuvant therapy (NT) and pre-operatively in patients not treated with NT. The associations between NLR and PLR and the clinicopathologic parameters were assessed via χ2 or Fisher’s exact tests where appropriate. All the tests were two-sided, and p < 0.05 was considered statistically significant. Results: We identified 49(42.2%) esophageal, 34 (29.3%) pancreatic, 14 (12.1%) colorectal, 13 (11.2%) gastric, and 6(5.2%) biliary cancers. There were 36 (31%) LN-, 52 (44.8%) LN+, and 28 (24.2%) patients with metastatic disease. The median NLR for LN – patients was 1.78 (0.2-4.5) and for LN + and metastatic patients was 4.48 (2.38-24.1) p < 0.00001. The median PLR for LN– patients was 123 (66-207) and for LN+ and metastatic patients was 212 (112-2185) p < 0.00001. The sensitivity (SENS), specificity (SPEC), positive predictive value (PPV) and negative predictive value (NPV) for a NLR > 2.25 was 98.8%, 72.2%, 89%, and 96% respectively with an overall accuracy of 91%. The SENS, SPEC, PPV, and NPV for PLR > 140 was 95%, 78%, 90%, and 88% respectively with an overall accuracy of 90%. Utilizing both NLR > 2.25 and PLR > 140 the SENS, SPEC, PPV and NPV was 95%, 89%, 95%, and 89% respectively and the overall accuracy was 93%. Conclusions: NLR and PLR can be used to identify patients with node positivity and metastatic disease. Individually, NLR has a higher sensitivity and NPV while PLR has a higher specificity and PPV. However, the combination of NLR and PLR has the highest accuracy of predicting advanced disease among all gastrointestinal malignancies.


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