Factors affecting perioperative serum albumin variation and short term complications in pediatric patients undergoing major gastroenterology surgery

DOI: https://doi.org/10.21203/rs.2.24434/v2

Abstract

Background: Albumin is considered a negative acute-phase protein because its concentration decreases during injury and sepsis. The decrease in serum albumin might be important for perioperative morbidity, even in patients with normal preoperative levels in pediatric population. We here intend to determine the perioperative factors associated with the reduction in serum albumin within 2 postoperative days compared with the preoperative level (∆ALB) and its influence on the perioperative outcome in a pediatric general surgical cohort. 

Methods: This single-center retrospective review included 939 patients who underwent Roux-en-Y hepaticojejunostomy between August 2010 and Aug 2019. Based on the mean valure of ∆ALB (14.6%), patients were separated into two groups, including a high ∆ALB group (≥14.6%) and a low ∆ALB group (<14.6%). Multivariable logistic regression analyses were performed to determine the independent risk factors for the reduction in serum albumin. Propensity score matching was performed to adjust for any potential selection bios for the two groups. In 366 matched patients, influences of operating time on perioperative outcomes, including postoperative recovery, complications measurement, and length of hospital stay between the two groups were analyzed.

Results: For all 996 patients reviewed, 939 patient records were enrolled into the final analysis. Controlling for other factors, multivariate analysis showed that the high CRP on POD 3 or 4 (odds ratio[OR] =2.36 [95% CI, 1.51-3.86]; p =0.007), presence of Charcot's triad (OR=1.73[95% CI, 1.05-2.83]; p = 0.031), the longer operating time (OR=1.18[95% CI, 1.00 -1.53]; p=0.014) were factors that predicted the high ∆ALB level. The high ∆ALB level was associated with postoperative gastrointestinal functional recovery, reflected by the first defecation (p= 0.013) and first bowel movement (p=0.019) and the high occurrence of postoperative complications (16.1% vs 10.9%, OR, 1.57; 95 %CI, 1.02-2.41, P=0.0026). The mean length of postoperative stay was longer than that of patients with ∆ALB < 14.0% group, although no statistic significant was stained (p=0.057).   

Conclusions: We showed that change in albumins was associated with postoperative outcomes. The risk factors for ∆ALB could be intervened in the perioperative period to permit patients gain a safe recovery and discharge after major abdominal operations.

Background

As a acute-phase protein, albumin (ALB) is usually negatively response to surgical stress, injury or sepsis, etc [1, 2]. The decrease of plasma albumin concentration is considered one of the features of the systemic inflammatory, due to loss of albumin to the tissue spaces [3, 4] and so be considered as acute-phase protein to predict the postoperative infectious complication [4]. The preoperative hypoalbuminemia was also confirmed as an indicator for mortality and postoperative complications and poor nutritional status, like surgical site infections (SSI) after spine surgery [5], GI surgery [6], acute kidney injury after living donor liver transplantation[7], which prolonged intensive care unit stays and inpatient stay. Because albumin has quick kinetics after surgery, the response of albumin to surgical stress even occur earlier than CRP, so has been focused intensively during perioperative management [8, 9].

An sharp decrease by 33% of serum ALB within 2 days was observed after major abdominal surgery, which occurred earlier than the another acute-phase protein, CRP[2, 10]. The transcapillary leakage of albumin could elevated more than 300 % in the systemic inflammatory pathogenesis [11, 12]. There are many factors that may potentially impact upon the reduction of ALB level (∆ALB) including the pathology being treated, and the actual procedure undertaken, which is common among all types of surgical approaches [13]. Few studies have examined which factors could be used to predict future hypoalbuminemia in pediatric patients in the perioperative period of major gastroenterology surgery.  A clear evaluation these factors might optimize the perioperative care protocol in regard to serum ALB. Furthermore, although the ∆ALB had been evaluated previously, especially in adult patients, the ∆ALB level remains poorly defined for practice among pediatric patients. 

This study aimed to investigate the risk factors for reduction of ALB by retrospectively reviewing data on pediatric patients undergone major gastroenterological surgery. We further sought to clarify the association between ∆ALB and postoperative recovery and outcomes and its diagnostic accuracy.

Methods

Population selection
The Ethics Committee of the Chongqing Medical University gave expedited approval of this protocol. This retrospective study included 996 consecutive patients who underwent elective Roux-en-Y hepaticojejunostomy between August 2010 and Aug 2019 at the department of general surgery of the affiliated chongqing children’s Hospital, Chongqing medical university. Exclusion criteria included patients with ALB infusion preoperatively or within postoperative day (POD 1), or incomplete laboratory data.

Data collection and definitions

Electronic medical records upon admission or referral and included clinician and nurse notes, laboratory tests, imaging exams, surgical records and histopathology results were individually reviewed and collected by two well trained clinical investigators who collected the relevant data. Data extraction included three aspects: (1) Preoperative data, including demographic data, clinical details, like preoperative neutrophils, lymphocytes, hemoglobin, preoperative CRP and ALB, and pre-existing comorbidities; (2) Intraoperative variables, including surgical procedures (surgical approach, type of resection), American Society of Anesthesiology (ASA) classification, operation time, duration of operation, estimated blood loss (EBL), intraoperative blood transfusion, intraoperative hemoglobin levels; (3) The postoperative outcomes, included CRP on POD 3 or 4, ALB on POD 1, the prompt postoperative biochemical profiles (hemoglobin, blood glucose, creatinine, serum electrolytes, albumin, retinol binding protein, WBC, CRP, etc), gastrointestinal function recovery features and postoperative complications. The following laboratory data were determined preoperatively and on PODs 3 and 7: serum albumin, CRP, aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (γ-GTP), lactate dehydrogenase (LDH), alkaline phosphatase (ALP), serum creatinine (Scr), blood urea nitrogen (BUN), hemoglobin (Hb), and white blood cell (WBC) count. Gastrointestinal symptoms were recorded for the first 5 days postoperatively, including the first postoperative flatus or defecation, gastric retention, nausea or vomiting, time to normal diet, abdominal bloating and/or cramps. All postoperative complications were recorded and ranked according to the Clavien-Dindo classification system[14], such as postoperative hemorrhage, anastomotic fistula, anastomotic stenosis and wound infection, intra-abdominal abscesses, pneumonia, bacteremia, renal failure and respiratory failure, and so on.   

Relative change of the serum albumin (∆ALB) was calculated as follows: (preoperative albumin level – nadir albumin level within POD 2)/albumin level before surgery × 100% [17]. We have evaluated the ∆ALB as normally distributed data and decided to use the mean value of ∆ALB (14.6%) to dichotomize groups. For the purposes of analysis, the patients were dichotomized into low (<14.6%) and high (≥14.6%) groups based on the cutoff value (14.6%). 

According to criteria reported in previous studies, all patient data were reviewed for postoperative surgical and nonsurgical outcomes, including complication rates, complication types, mortality rates, ventilator rates, ICU-stay rates, and total lengths of hospital stay (the number of days from the day of operation until the date of discharge).  The primary outcome based on ∆ALB was the prompt postoperative gastrointestinal function recovery. The secondary outcomes were the postoperative complications, and the immunologic and inflammatory variables. Gastrointestinal symptoms were assessed and recorded daily for the first 5 days postoperatively, including first bowel movement (gas and feces) after operation, abdominal bloating, abdominal cramps, diarrhea (defined as more than three bowel movements per day), and vomiting. Wound complications consisted of wound dehiscence, erythema, swelling, and pus.   

Propensity scores and matching

To minimize the selection biases in baseline characteristics between the two groups, propensity score matching was accomplished using a multivariable logistic regression model using SPSS 20.0 (IBM, Armonk, NY) or R 3.1.2 (The R Foundation for Statistical Computing). A 1:1 Propensity scores matching with a caliper distance of 0.2 without replacement, was accomplished using nearest-neighbor analysis, which included the demographic and clinical variables. The selected variables entered into the propensity model were based on theoretical and empirical considerations according to the scientific literature and biological plausibility, including demographic data information, laboratory values, treatment protocols, surgical feature, etc. We further measured the interaction among all pre-test covariates. The linear assumption was checked using the generalized additive model. The generalized additive model was used to check linear assumption in PS model, thus matching 366 patients with high ∆ALB ≥ 14.6% and 366 patients with ∆ALB <14.6%. The perioperative outcomes between the two groups were compared after propensity score matching.

Statistical analysis

Statistical analyses were performed using SPSS version 19.0 (SPSS Inc., Chicago, IL, United States). Categorical data were expressed as counts with percentages and were analyzed using the Fisher’s exact test or Pearson’s χ 2 test when appropriate. Continuous data were expressed as the means ± (standard deviations) for normally distributed data and medians (interquartile ranges) for non-normally distributed data, which were tested with the Student’s t-test or Mann-Whitney U test and the Wilcoxon rank-sum test, respectively. To verify independent predictors for postoperative complications, multivariate analysis was performed using multivariate logistic regression analysis after univariate analysis to identify those with a significance level of P< 0.30 (Table 3). The results of the multivariate logistic regression analysis were expressed using P value, odds ratio (OR), and 95% confidence interval (CI). The SPSS 20.0 (IBM, Armonk, NY, USA) software was used to perform all statistical analyses.In all cases, P< 0.05 was considered significant.

Results

Patient population characteristics

Among the initial 996 pediatric patients in our department underwent hepatico-jejunostomy resection, 41 of them did not fulfill inclusion criteria and were initially excluded, sixteen patients were excluded because notes were unobtainable for data extraction. Finally, A total of 939 patient records were enrolled into the final analysis (Table 1).  

 

The factors associated with ∆ALB

Based on the cutoff value of ∆ALB, we dichotomized the patients into two groups, the ∆ALB ≥ 14.6% and ∆ALB <14.6% group. The baseline features of the two groups are summarized in Table 1. There were no significant differences in the demographic features of patients, ASA classification, preoperative CRP between the two groups (Table 1). Furthermore, the nadir of hemoglobin and operative blood loss was similar between the two groups (P > 0.05). A lager choledochal cyst size (p=0.042), and worse comorbidity (Charcot's triad) (p=0.011), lower preoperative ALB (p=0.016), CRP on POD 3 or 4 (p<0.001), and long surgery duration (p=0.0024), were often associated with a greater ∆ALB (P < 0.05) in the univariate analysis. Multivariate analysis revealed three independent risk factors. As shown in Table 2, the CRP on POD 3 or 4 (OR =2.36 [95% CI, 1.51-3.86]; p =0.007), presence of Charcot's triad (OR = 1.73[95% CI, 1.05-2.83]; p = 0.031), the longer operating time (OR=1.18[95% CI, 1.00 -1.53]; p=0.014) were the independent risk factors associated with ∆ALB.  

 

The influences of ∆ALB on postoperative outcomes

To explore the association of ∆ALB and the perioperative outcomes, we performed PS-matching between the patients with the ∆ALB ≥ 14.6% and ∆ALB <14.6% groups to adjust for potential confounding factors and exclude the effects of correlation between factors. Under PS-matching, 366 patients with ∆ALB ≥ 14.6% group were matched to 366 patients with ∆ALB <14.6% group. The absolute standardized mean differences reduced the values, indicating that the continuous and categorical variables were very similar and comparable between the two groups (Table 3).

Overall, there were no differences in the vasopressor support, diuresis usage and the number of intraoperative hypotensive events, hypokalemic episodes, metabolic acidosis (defined by low bicarbonate) or other laboratory and hemodynamic parameters throughout the perioperative period between the ∆ALB ≥ 14.6% and ∆ALB <14.6% groups (Table 4).

In the propensity matched cohort, patients with ∆ALB <14.6% had reduced the time for first flatus (p=0.013) and first bowel movement (p=0.019) (Table 4). In the ∆ALB <14.6% group, 40.2% (147/366) of patients spontaneously passed stool within 72 hours, whereas only 33.6% (123/366) cases in the high urine output passed stool within the same period (OR, 1.33; 95 %CI, 0.98-1.79, p=0.039). The incidences of Diarrhea (p=0.50), Vomiting(p=0.38) and abdominal distention (p=0.18) within 5 PODs in patients with ∆ALB <14.6% were similar with patients with ∆ALB ≥ 14.6%.

According to Clavien-Dindo classification, 74 patients (20.2%) had mild complications (Grade Ⅰ or Ⅱ), and 49 (13.4%) had major complications (Grade III or greater). As shown in Table 4, patients with ∆ ALB ≥ 14.0% were found to have more total complications than those with ∆ALB < 14.0% (16.1% vs 10.9%, OR, 1.57; 95 %CI, 1.02-2.41, P=0.0026), including anastomotic leakage, infectious complications of pneumonia, incision dehiscence, intraperitoneal abscess, sepsis, and surgical site infections, etc. In addition, The mean length of postoperative stay was 8.19±3.16 days in patients with ∆ALB ≥ 14.0% group, which was longer than that of patients with ∆ALB < 14.0% group(7.69±2.67 days), although no statistic significant was stained (p=0.057). 

Discussion

We conducted the present analysis to focus on serum albumin as an acute phase protein for a pediatric surgical cohort following the same surgical procedure. This study revealed that several factors were associated with the high ∆ALB, like the operative duration, disease comorbidities, the mean CBD, etc. Furthermore, patients with a greater relative decrease in serum albumin were associated with postoperative gastrointestinal function recovery, postoperative complications, prolonged postoperative hospital stay.

The factors led to hypoalbuminemia were often complicated and involved in operative case type, ALB loss, redistribution, catabolism, and so on[15, 17, 18]. In patients with sepsis and surgical trauma, systemic inflammatory response is recognized as a common reason for albumin fractional synthesis rate (FSR) and capillary leakage increase, whereas the absolute synthesis rates (ASRs) was unaltered, which account for the reduction in ALB level [11, 2, 16]. Numerous studies have focused the preoperative and postoperative hypoalbuminemia as risk factors for postorepative complications [5, 19], while few have specifically stressed the perioperative factors related to the ∆ALB, which may be clinically significant for postoperative care. In present study, several clinical factors related to the decrease in postoperative albumin were presented, including longer operating time, severe comorbidities, like Charcot's triad, and high CRP, etc. All these factors might be associated with an inflammatory response caused by surgical stress. During surgery, manipulation of the intestine is proved to initiate the gastrointestinal edema [20, 21]. The postoperative edema might attribute to the low colloid osmotic pressure and fluid accumulation, which resulted from the low postoperative ∆ALB level [11]. Consistent with the current findings, previous reports focused primarily on adult patients with various co-morbidities, higher ASA scores, and a wide variety of serious conditions, ranging from major trauma to extensive pancreatic surgery. Norberg Å[2] reported the stress response led to a reduction in postoperative albumin levels, which was consistent with the findings in our study. 

Changes in plasma volume and altered distribution between the intravascular and  extravascular space also play a significant role for the plasma albumin concentrations. The intraoperative and postoperative fluid use, which has not been shown in previous studies to be associated with high ∆ALB after Roux-en-Y hepaticojejunostomy. The reasons for this association may pertain to hemodilution, which might contribute to the decreased albumin level after surgery. In my previous study [22], postoperative complications were related to conventional intraoperative and postoperative fluid usage, it might also affect the albumin level after surgery. The excessive fluid should also promote capillary permeability and leakage of serum albumin into the extravascular space [23]. Capillary leakage is especially common in some malnourished patients with surgical trauma followed by an increased transcapillary escape rate of ≥ 100% [24], which was not presented in the current research. Serum albumin on POD 3 was observed to be correlated with preoperative CRP level [13, 25]. In the current research, we indeed found that high ∆ALB was associated with the CRP on POD 3 or 4.

Prompt postoperative recovery serves as the main focus of all surgical specialties for the postoperative rehabilitation [26]. As indicated in the current study, although uneventful recovery was presented in most patients following choledochal cyst resection, the unfavorable postoperative gastroenterological recovery was associated with the high ∆ALB. In previous biological investigation, it have demonstrated that edema’s detrimental effects on intestinal function by directly affecting muscle function and force transmission[27, 28]. The serum ALB is a predictor of both systemic inflammation and nutritional status, which should account for postoperative intestine edema after major operation or severe trauma. Furthermore, tissue oxygenation might decline with fluid accumulation, also unfavorable for the postoperative recovery and complications. In this study, we detected an increased total number of complications, including anastomotic leakage, in patients with high ∆ALB. The possible explanation at the tissue level indicated that the low ALB level decline the collagen deposition for the tissue connections and, therefore, poor structural integrity. The effect of ∆ALB on local inflammatory response and edema recovery is also important, which might also explain the postoperative recovery and complications[29, 30]. Exogenous ALB supplementation strategy has been proposed as the optimal therapeutic modality to attenuate the postoperative intestine edema after major operation or severe trauma. However, others reported that routine ALB infusion was not beneficial to patients in the European intensive care units (ICUs)[31]. Instead, exogenous ALB administration might increase risks of edema, extravasation of albumin, or other postoperative complications[32]. It remains to be established whether ALB supplementation would reduce the postoperative intestine edema and cellular swelling so to benefit patients and promote intestinal function recovery in patients undergoing major upper gastrointestinal surgery in pediatric population.

There were several limitations to the current study. First, it was a retrospective observational analysis, where unmeasured differences, known selection and treatment bias may contribute to confounding, which could not be entirely excluded. Second, it was a single-center study and the general surgery procedures were performed in our hospital over a long period of time; therefore, there may have been many practice changes within both surgical and the ICU divisions, leading to different care practices between study patients, which may not reflect the outcomes from current treatment algorithms. Another point of emphasisis was that although we did not find differences in baseline characteristics after PS matching, the patients with high ∆ALB might have been more surgically challenged than the low ∆ALB. To limit the influence of confounding variables on the actual effects of ∆ALB, large, multicenter prospective studies must be performed to verify the conclusions of the current study.

Conclusions

In the current study, we have characterized some risk factors that may predispose to high ∆ALB, which impacts negatively on the postoperative recovery after pediatric major abdominal operation. The surgeons should be aware of the ∆ALB variation in the early postoperative period to optimize preoperative planning and maximize surgical efficiency.

Abbreviations

ALB: albumin;

ALP: alkaline phosphatase;

ALT: alanine aminotransferase;

∆ALB: reduction of ALB level;

ASA: American Society of Anesthesiology;

AST: aspartate aminotransferase;

BUN: blood urea nitrogen;

CBD: Common bile duct;

CI: confidence interval;

CRP: C-reactive protein;

γ-GTP: gamma-glutamyl transpeptidase;

Hb: hemoglobin 

LDH: lactate dehydrogenase;

OR: odds ratio;

POD: postoperative day;

Scr: serum creatinine;

SD: standard deviation;

WBC: white blood cell.

Declarations

* Ethics approval and consent to participate

Not required.
* Consent for publication

Our manuscript does not contain any identifiable individual’s data in any form (including individual details, images or videos). That the article is original, has not already been published in a journal, and is not currently under consideration by another journal.
* Availability of data and material
The dataset analyzed during the current study are available from the corresponding author on reasonable request.  

* Competing interests
No potential conflicts of interest relevant to this article are reported.

* Funding

This study was supported by grants from the National Natural Science Foundation of China (Nos: 30973440 and 30770950) in the design of the study, the Key Project of the Chongqing Natural Science Foundation (CSTC, 2008BA0021, cstc2012jjA0155) for collection, analysis, and interpretation of data and the Chongqing Health Planning Commission of Research Fund (No: 2016MSXM044) in writing the manuscript.


* Authors' contributions
QL, KG and XS designed the study and analyzed the data. KG, XS and CG evaluated the manuscript. CG and KG performed the statistical measurements and analyzed the data. CG analyzed the data and wrote the paper. All authors have read and approved the final manuscript as submitted and agree to be accountable for all aspects of the work.  

* Acknowledgements
We thank Prof. Bailin Chen for providing technical assistance and for insightful discussions during the preparation of the manuscript and Dr Xiaoyong Zhang at the Wistar Institute for help with the linguistic revision of the manuscript.

* Authors' information (optional)

Correspondence to Xiaomin Sun or Chunbao Guo.

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Tables

Table 1. Univariate analyses of perioperative factors associated with ∆ALB

 

Total Population

 

∆ALB14.6%(471)

∆ALB<14.6%(468)

p Values

Age (yrs) , mean ± SD

2.13±1.02

2.16±1.07

0.21

Female: Male

183(37.5)

191(39.9)

0.31

Weight (kg) , mean ± SD

11.38±2.96

11.52±3.68

0.22

BMI, median (range)

24(20–30)

 25 (21–31)

0.13

Laboratory findings

hypertransaminasemia, n (%) 

325(69.0)

334(71.4)

0.47

hyperbilirubinemia, n (%)

186(39.5)

173(37.0)

0.39

Preoperative ALB(g/L), mean ± SD 

39.28±4.72

41.41±5.39

0.016

Preoperative CRP(g/L), mean ± SD

11.24±3.26

12.56±4.17

0.15

Preoperative WBC(109/L), mean ± SD

7.9±2.8

8.2±3.1

0.52

Ultrasound presentation

Mean CBD(cm), mean ± SD

1.53±0.58

2.34±0.97

0.042

Charcot's triad, n (%)

142(30.1)

109(23.3)

0.011

Nadir ALB within POD 2(g/L), mean ± SD

34.94±8.92

 

30.22±7.83

 

0.0012

CRP on POD 3 or 4(mg/L), mean ± SD

41.45±13.65

29.8±7.69

<0.001

Postoperative WBC(109/L), mean ± SD

15.8±4.9

14.9±4.8

0.350

Mode of surgical approach, n(%)

Laparoscopic

168(35.7)

139(29.7)

 

Open

303(64.3)

329(70.3)

0.03

Operation time, median (range), min

175 (132–418)

143 (115–367)

0.0024

Nadir of hemoglobin(g/L)

9.18±1.32

9.64±1.68

0.28

Operative blood loss (mL), mean ± SD

36.78±16.84

33.86±15.88

0.26

Intraoperative fluid utilization( mL/kg*h) , mean ± SD

16.74±6.88

14.26±6.72

0.017

 

Intraoperative transfusion, n (%)

131 (27.8)

115(24.6)

0.15

ASA classification

ASA1-2

338(72.6)

319(67.7)

0.13

ASA3-4

133(27.4)

149(22.3)

 

Abbreviations:ALB, albumin; ∆ALB, reduction of ALB level; ASA, American Society of Anesthesiology; CBD, Common bile duct; CRP, C-reactive protein; POD, postoperative day; SD, standard deviation; WBC, white blood cell.

 

Table 2. Multivariate analysis of perioperative factors associated with ALB.

 

OR

95%CI

p

BMI>26

1.26

(0.97-1.89)

0.16

Preoperative ALB<32g/L

1.68

(0.91-2.35)

0.27

Preoperative CRP>12g/L

1.12

(0.94-1.73)

0.18

CRP on POD 3 or 4 (>135mg/L)

2.36

(1.51-3.86)

0.007

Charcot's triad

1.73

(1.05-2.83)

0.031

Operation time(>165m)

1.18

(1.01-1.53)

0.014

Open surgical approach

2.31

(0.89-4.76)

0.31

Intraoperative fluid utilization>17mL/kg*h

1.07

(0.96-1.78)

0.22

Intraoperative transfusion

1.38

(0.98-2.16)

0.092

ASA classification(ASA1-2)

1.74

(0.96-3.24)

0.39

 

Table 3. The inclusion variables in the PS-matching analysis 

 

Total Population

 

∆ALB14.6%(366)

∆ALB<14.6%(366)

p Values

Age (yrs)

2.14±1.01

2.15±1.03

0.45

Female: Male

135(36.9)

136(37.2)

0.50

Weight (kg)

11.44±2.76

11.46±3.11

0.34

BMI, median (range)

25(21–28)

 25 (21–29)

0.28

Laboratory findings

hypertransaminasemia, n (%) 

252(68.9)

251(68.6)

0.50

hyperbilirubinemia, n (%)

146(39.9)

143(39.1)

0.44

Preoperative ALB(g/L), mean ± SD

39.83±4.26

40.63±4.96

0.18

Preoperative CRP(g/L), mean ± SD

11.87±3.16

12.04±3.88

0.35

Preoperative WBC(109/L), mean ± SD

8.01±2.62

8.14±2.69

0.39

Ultrasound presentation

Mean CBD(cm), mean ± SD

1.75±0.53

2.07±0.86

0.18

Nadir ALB within POD 2 (g/L), mean ± SD

33.13±8.56

 

32.34±7.69

 

0.23

Postoperative WBC(109/L), mean ± SD

15.56±4.64

15.12±4.63

0.46

Mode of surgical approach, n(%)

 

 

 

Laparoscopic

131(35.8)

126(34.4)

 

Open

235(64.2)

240(65.6)

0.38

Nadir of hemoglobin(g/L)

9.35±1.25

9.48±1.52

0.33

Operative blood loss (mL)

35.16±14.69

34.47±13.53

0.29

Intraoperative fluid utilization( mL/kg*h) , mean ± SD

15.59±6.54

14.93±6.18

0.27

 

Intraoperative transfusion, n (%)

102 (27.9)

98(26.8)

0.40

ASA classification

ASA1-2

262(71.6)

257(70.2)

0.37

ASA3-4

104(28.4)

109(29.8)

 

 

Table 4. Outcome characteristics in the matched population depended on the mean value of ALB

 

∆ALB>14.6%(366)

∆ALB<14.6%(366)

p Values

Odds ratio (95% CI)

Hypotensive events, n(%)

42(10.47)

38(11.88)

0.36

 

Norepinephrine usage, n(%)

45(13.95)

40(12.17)

0.32

 

Furosemidum, n(%)

36(9.88)

34(11.30)

0.50

 

Metabolic acidosis, n(%)

18(3.20)

13(4.93)

0.23

 

hypokalemic episodes, n(%) 

24

25

0.50

 

Serum albumin

 

 

 

 

First defecation (days)

3.13±1.32

2.88±1.27

0.12

 

First flatus

3.56± 0.88

3.07 ± 0.90

0.013

 

First bowel movement(days), Mean ± SD

2.75± 0.82

2.14 ± 0.78

0.019

 

Stool within 72 hours, n (%)

123(32.75)

147(40.12)

0.039

1.33(0.98-1.79)

Abdominal distension, n (%)

36(13.5)

28(19.8)

0.18

 

Diarrhea, n (%)

23 (6.8)

21(10.9)

0.50

 

Vomiting, n (%)

35(13.0)

31(16.1)

0.38

 

No. of patients with mild  complications, n(%)

45(11.7)

29(9.0)

0.033

1.63(1.00-2.66)

No. of patients with major complications, n(%)

28(7.7)

21

0.19

 

Total number of complications, n(%)

59(16.1)

40(10.9)

0.026

1.57(1.02-2.41)

Length of stay (d), mean ± SD

8.19±3.16

7.69±2.67

0.057