scholarly journals Albumin and CRP, Which is the Best Biomarker for Postoperative Complications on Colorectal Surgery? Prospective Cohort Study

Author(s):  
Miguel Fernandes Cunha ◽  
Beatriz Mendes ◽  
Pedro Mendanha ◽  
Ines Miguel ◽  
Juan Rachadell ◽  
...  

Abstract Aim Our purpose was to investigate the potential role of albumin variation in comparison to C-reactive protein (CRP) variation as a predictive marker for postoperative complications in colorectal surgery. Methods An prospective cohort study was conducted. Adult patients who underwent elective colorectal surgery between January 2019 and December 2020 were eligible. Serum levels of albumin and CRP were measured preoperatively and on the first 4 postoperative days. Univariate analysis were performed to assess the association of albumin (Alb) and CRP with postoperative complications. Serum albumin variation (ΔAlb) and CRP variation (ΔCRP) were calculated. Receiver operating characteristic curve analysis and the Youden test were used to determine acuity and predictive cut-off values. Results Ninety-three patients were included. A CRP cut-off of 83.4 mg/dL on postoperative day (POD) 4 was the best predictor of postoperative global complications (p<0.001; AUC 0.83, 70% sensitivity, 91% specificity). Major complications were best correlated with ΔAlb on POD 2, 3 and 4 (p<0.001), with a ΔAlb cut-off of 27.4% on POD 2 showing the strongest association with this outcome (AUC 0.834, 83% sensitivity, 90% specificity). Regarding anastomotic leak, CRP on POD 3 showed better predictive values (p=0.037; AUC 0.792) with a cut-off value of 88.7 mg/dL (100% sensitivity, 52% specificity). Discussion Herein, the authors demonstrate there is a role for albumin variation, as an earlier and sensitive marker, to predict major postoperative complications in colorectal surgery. This analysis may be further applied to aid in the early identification of significant causes of re-operation and long-term morbimortality.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu

Abstract Background Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources. Objective To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death). Methods We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment. Results During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.


2021 ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu

Abstract Background: Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources.Objective: To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death).Methods: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment.Results: During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P <0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P <0.001; death vs. survival: 7.19 vs. 2.25, P <0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively.Conclusions: The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.


BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
◽  

Abstract Introduction This study aims to assess whether Prophylactic NGT insertion was associated with reduced rates of pneumonia, in comparison to Reactive NGT after colorectal surgery. Methods Pre-planned secondary analysis of a multicentre, prospective cohort study. Patients undergoing elective colorectal surgery between January and April 2018 were included. Those receiving NGT were divided into three groups, based on the timing of the placement: Routine (at the time of surgery); Prophylactic (after surgery, before vomiting); and Reactive (after surgery, after vomiting). Pneumonia within 30 postoperative days was considered as primary outcome measure and it was compared between the three groups using multivariable regression analysis. Results 4,715 patients were included in the analysis. 1,536 (32.6%) received an NGT corresponding to 926 (60.3%) Routine, 461 (30%) Reactive and 149 (9.7%) Prophylactic. 200 patients (4.2%) developed pneumonia (No NGT: 2.7%; Routine NGT: 5.2%; Reactive NGT: 10.6%; Prophylactic NGT: 11.4%). After adjustment for confounding factors, no significant difference in pneumonia rates was detected between the Prophylactic and Reactive NGT groups (OR: 1.03, 95% CI: 0.56 – 1.87, p = 0.932). Conclusion In patients who required NGT insertion after surgery, prophylactic insertion was not associated with fewer cases of pneumonia within 30 days of surgery in comparison to reactive insertion.


2020 ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu

Abstract Background: Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources.Objective: To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death).Methods: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment.Results: During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P <0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P <0.001; death vs. survival: 7.19 vs. 2.25, P <0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively.Conclusions: The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.


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