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Is compromised intestinal barrier integrity responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia?

Abstract

Background

Compromised intestinal barrier integrity can be independently driven by hyperglycemia, and both hyperglycemia and intestinal barrier injury are associated with poor prognosis in critical illness. This study investigated the intestinal barrier biomarkers in critically ill patients, to explore the role of compromised intestinal barrier integrity on the prognosis of critically ill patients with pre-existing hyperglycemia.

Methods

This was a retrospective observational study. The relationships between intestinal barrier biomarkers and glycated hemoglobin A1c (HbA1c), fasting blood glucose (FBG), indicators of clinical characteristics, disease severity, and prognosis in critically ill patients were investigated. Then the metrics mentioned above were compared between survivors and non-survivors, the risk factors of 90-day mortality were investigated by logistic regression analysis. Further, patients were divided into HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group, metrics mentioned above were compared between these two groups.

Results

A total of 109 patients with critical illness were included in the study. D-lactate and lipopolysaccharide (LPS) were associated with sequential organ failure assessment (SOFA) score and 90-day mortality. LPS was an independent risk factor of 90-day mortality. DAO, NEU (neutrophil) proportion, temperature, lactate were lower in HbA1c ≥ 6.5% Group while D-lactate, LPS, indicators of disease severity and prognosis showed no statistical difference between HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group.

Conclusions

Intestinal barrier integrity is associated with the disease severity and prognosis in critical illness. Compromised intestinal barrier integrity might be responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia.

Background

Diabetes has become a huge burden on global health, and the worldwide prevalence of diabetes in adults in 2021 was estimated to be 10.5% [1]. As one of the most common comorbidities, diabetes is strongly associated with poor prognosis in critical illness [2, 3]. As is known to all, hyperglycemia is the most specific symptom of diabetes, and recent studies have updated our knowledge that hyperglycemia, irrespective of the diabetes status, is associated with increased risk of in-hospital mortality in critically ill patients [4, 5]. However, the underlying mechanism by which hyperglycemia results in poor prognosis remains debated.

In addition to hyperglycemia, another condition frequently happened in critical illness is intestinal barrier injury. Intestinal barrier consists of mucosal barrier, biological barrier, and immune barrier, preventing bacteria and toxins crossing the barrier from the intestinal tract to the circulation during nutrition absorption, and the impairment of intestinal barrier facilitating the translocation of intestinal bacteria and their metabolites [6]. Nowadays, the compromised intestinal barrier integrity and associated bacterial translocation have been recognized as causative factors of poor prognosis in critical illness [7, 8].

Interestingly, the compromised intestinal barrier integrity and bacterial translocation are closely related to hyperglycemia [9,10,11]. Preclinical study has confirmed that hyperglycemia can independently drive the impairment of intestinal barrier, facilitate intestinal bacteria translocation and increase the risk of enteric infection [12]. Our clinical study has found that the impairment of intestinal barrier got worse with the prolongation of hyperglycemia [13]. Recently, the compromised intestinal barrier integrity in COVID-19 has been well reviewed that predisposes patients with pre-existing hyperglycemia to aggravated endotoxemia and finally worse outcome [14]. Considering the co-result of critical illness and hyperglycemia, we assumed that the compromised intestinal barrier integrity might be responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia.

In the present study, we conducted a retrospective observational study, investigated the intestinal barrier biomarkers in critically ill patients, to explore the roles of compromised intestinal barrier integrity on the prognosis of critically ill patients with pre-existing hyperglycemia.

Methods

Study population

In the present study, we reviewed the medical data of all patients admitted to the Department of Critical Care Medicine of the Affiliated Wuxi People's Hospital of Nanjing Medical University from June 2017 to December 2018. The inclusion criteria were patients who were older than 18 years of age and the exclusion criteria were patients who were unable to get complete medical records, receiving immunosuppressive therapy (eg, immunosuppressants, high-dose glucocorticoids, chemotherapy, and radiotherapy), had diseases with impaired immunity (eg, carcinoma, leukemia, lymphoma, and AIDS), had intestinal diseases (eg, inflammatory bowel disease, intestinal obstruction, and mesenteric vascular obstruction), had gastrointestinal surgery history within a year, had an altered relationship between glycated hemoglobin A1c (HbA1c) and glycemia (eg, massive blood transfusion after life-threatening hemorrhage, hemodialysis, and erythropoietin therapy) [15].

Data collection

The clinical data were collected from the hospital information system including (i) medical history and demographics (age and sex); (ii) HbA1c, fasting blood glucose (FBG), intestinal barrier biomarkers [diamine oxidase (DAO), D-lactate, and lipopolysaccharide (LPS)], metrics of routine biochemical test, dosage of norepinephrine (NE), acute physiology and chronic health evaluation II (APACHE II) score, and sequential organ failure assessment (SOFA) score within first 24 h. For those with more than one result, the worst ones were recorded; (iii) length of stay (LOS) in hospital, LOS in ICU, and 90-day mortality.

Intestinal barrier biomarkers

The concentrations of DAO, D-lactate, and LPS in plasma were detected using the Diamine Oxidase, Lactic Acid, Bacterial Endotoxin Assay Kit (Enzyme, Zhong Sheng Jinyu Diagnostic Technology Co., Ltd. Beijing, China) in JY-Po-Color DLT Set.

Although all the three biomarkers can indicate the impairment of intestinal barrier, they represents different part of intestinal barrier injury. DAO is abundantly expressed in IECs and the elevated DAO in circulation reflects the damage of IECs [16]. And as the metabolites of bacteria, elevated D-lactate and LPS in circulation imply the compromised intestinal barrier integrity as well as increased bacterial translocation [17].

HbA1c

Blood HbA1c levels were measured upon ICU admission using Variant II analyzer (Bio Rad, Hercules, CA). HbA1c reflects the average blood glucose level in the past 2 to 3 months, and HbA1c ≥ 6.5 is one of the criteria for the diagnosis of diabetes [15]. Although stress-induced hyperglycemia is common in critically ill patients, Luethi et al. have found that HbA1c quantified at ICU admission has not been altered by the onset of critical illness, making HbA1c a reliable indicator for the chronic glycemic control [18].

Statistical method

Sample size was not determined by statistical calculation, but equal to the number of patients with available records of intestinal barrier biomarkers and HbA1c during the study period. SPSS 25 (IBM Corporation, Chicago, IL, USA) was used for statistical analysis. Kolmogorov–Smirnov tests were performed to determine the normality of continuous variables. Normal distribution variables were expressed as mean ± standard deviation while non-normal distribution variables were expressed as median (interquartile range). Relationships between two continuous variables were assessed by Spearman correlation coefficient. Differences of normal distribution variables between two groups were assessed by Student’s t test while differences of non-normal distribution variables between two groups were assessed by Mann–Whitney test. Categorical data were assessed by Chi-square or Fisher’s exact test. Risk factors for 90-day mortality were investigated by logistic regression, variables with a P value < 0.05 in the univariate logistic analysis were included in the followed multivariate logistic analysis. All statistical tests were 2-tailed, and statistical significance was set at a 5% level.

Results

Intestinal barrier biomarkers, HbA1c, FBG, indicators of clinical characteristics, disease severity, and prognosis in all patients

A total of 109 patients with critical illness were included in the study. The main reasons for ICU admission were trauma (n = 24), sepsis (n = 23), respiratory failure (n = 19), cerebrovascular accident (n = 14), MODS (n = 12), cardiac arrest (n = 7), heatstroke (n = 6), heart failure (n = 4). The intestinal barrier biomarkers, HbA1c, FBG, indicators of clinical characteristics, disease severity, and prognosis in all patients were shown in Table 1.

Table 1 The basic information

The correlation between these metrics mentioned above were shown in Table 2 and Fig. 1. While DAO, D-lactate and LPS were positively correlated with each other, their correlations with other metrics were not exactly the same. DAO was negatively correlated with HbA1c and HLA-DR, and positively correlated with alanine transaminase (ALT). D-lactate was positively correlated with procalcitonin, respiratory rate, heart rate, lactate, dosage of NE, urea nitrogen, creatinine, ALT, aspartate transaminase (AST), total bilirubin and direct bilirubin, while negatively correlated with MAP, artery blood pH, total protein and albumin. LPS was positively correlated with respiratory rate and majority indicators of liver function. When it came to the indicators of disease severity and prognosis, both D-lactate and LPS were associated with SOFA score and 90-day mortality.

Table 2 Correlation analyses between intestinal barrier biomarkers, HbA1c, FGB, indicators of clinical characteristics, disease severity, and prognosis
Fig. 1
figure 1

Correlation analyses between intestinal barrier biomarkers and other clinical indicators

Relationships between intestinal barrier biomarkers, disease severity, and prognosis in all patients

Then we compared the intestinal barrier biomarkers and other clinical indicators between survivors and non-survivors (Table 3). The results showed that D-lactate, LPS, procalcitonin, lactate, dosage of NE, urea nitrogen, creatinine, acute kidney injury (AKI) morbidity, APACHE II score, and SOFA score were higher, while prealbumin, LOS in hospital, and LOS in ICU were lower in non-survivors.

Table 3 The comparisons of intestinal barrier biomarkers, HbA1c, FBG, indicators of clinical characteristics, disease severity, and prognosis between survivors and non-survivors

Further, the risk factors of 90-day mortality were investigated by logistic regression analysis (Table 4). Considering the close relationship with mortality, indicators of disease severity and prognosis were not included in the analysis. The univariate logistic regression analyses showed that D-lactate, LPS, lactate, dosage of NE, urea nitrogen, creatinine, AKI morbidity, ALT, prealbumin, were the risk factors of 90-day mortality (P < 0.05). Then these variables were included in the followed multivariate logistic regression analysis, and the results indicated that LPS was an independent risk factor of 90-day mortality.

Table 4 Risk factors associated with 90-day mortality in critically ill patients

The intestinal barrier biomarkers and other clinical indicators between patients with and without pre-existing hyperglycemia

According to the results of HbA1c, patients were divided into HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group, the intestinal barrier biomarkers and other clinical indicators were compared between these two groups (Table 5). The results showed that DAO was lower in HbA1c ≥ 6.5% Group but neither D-lactate nor LPS was statistically different between these two groups. Among other clinical indicators, HbA1c ≥ 6.5% Group was higher in the age and urea nitrogen but lower in the neutrophil (NEU) proportion, temperature, lactate, and prealbumin. Besides, the sex composition of two groups was different. As to the indicators of disease severity and prognosis, the differences between two groups was not statistically significant.

Table 5 The comparisons of intestinal barrier markers, HbA1c, FBG, indicators of clinical characteristics, disease severity, and prognosis between patients with and without persistent hyperglycemia

Discussion

In the present study, we investigated the relationships between intestinal barrier biomarkers, HbA1c, FBG, indicators of clinical characteristics, disease severity, and prognosis in critically ill patients. The results showed that D-lactate and LPS were associated with SOFA score and 90-day mortality, LPS was an independent risk factor of 90-day mortality. Additionally, the diversities of intestinal barrier biomarkers and clinical indicators between HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group provided some clues about the roles of compromised intestinal barrier integrity on the prognosis of critically ill patients with pre-existing hyperglycemia.

The effect of compromised intestinal barrier integrity on disease severity and prognosis in critical illnes

In the present study, three intestinal barrier biomarkers (DAO, D-lactate, and LPS) were used to indicate the different parts of intestinal barrier injury, that DAO reflected the IECs damage [16], while D-lactate and LPS implied the compromised intestinal barrier integrity [17]. Under the severe pathophysiology challenges of critical illness, intestinal barrier injury accompanied with compromised intestinal barrier integrity commonly exists in critically ill patients, causing bacterial translocation, systemic inflammatory response, malabsorption, and consequently the poor prognosis [7, 8, 14]. Accordingly, intestinal barrier biomarkers can be used to predict the prognosis of critical illness [19], and D-lactate has been used in the prognosis of critically ill patients in Qiu’s study [20]. Consisting with previous studies, our study found that D-lactate and LPS were associated with SOFA score and 90-day mortality. As an indicator of disease severity and prognosis, SOFA score employs six metrics reflecting the function of each organ system (respiratory, circulatory, renal, liver, neurological, and haematological) [21]. In our study, the association between SOFA score and the biomarkers of compromised intestinal barrier integrity were also supported by the relationships between the biomarkers and the indicators of clinical characteristics, that D-lactate was correlated with most metrics of respiratory, circulatory, renal and liver function while LPS was correlated with respiratory rate and majority metrics of liver function. Additionally, logistic regression analysis showed that LPS was an independent risk factor of 90-day mortality. All these results suggested that the intestinal barrier integrity was associated with the disease severity and prognosis in critical illness.

Interestingly, the performances of D-lactate and LPS were distinct with DAO in our study. In other words, the compromised intestinal barrier integrity did not accompanied with the damage of IECs. The asynchrony of intestinal barrier biomarkers can be partly explained by the involvement of gut dysbiosis. As the main part of intestinal biological barrier, gut microbiota is significant for the integrity and function of intestinal barrier, and yet the dysbiosis of gut microbiota, also known as gut dysbiosis, will impair the homeostatic balance of intestinal barrier integrity [6]. Clinical study has found that gut microbiota is associated with 28-day mortality among critically ill patients [22]. Given the interactions with various organs, the gut dysbiosis and compromised intestinal barrier integrity deeply participate in the development and exacerbation of critical illness [23,24,25]. Since the gut dysbiosis has profound effects on the development, maintenance, and outcomes of sepsis [26], the different performances of D-lactate, LPS and DAO in our study can be explained that even under similar challenges from IECs damage, patients with gut dysbiosis are more susceptible to compromised intestinal barrier integrity, bacterial translocation and sepsis, and subsequent worse outcome.

The compromised intestinal barrier integrity in critically ill patients with pre-existing hyperglycemia

Previous studies have confirmed that gut dysbiosis is deeply associated with diabetes [27], and as the most specific symptom of diabetes, hyperglycemia has been proved to drive intestinal barrier dysfunction, impair intestinal barrier integrity, and cause bacterial translocation [12]. Nowadays, the cross-talks between diabetes, hyperglycemia, gut dysbiosis, intestinal barrier impairment, bacterial translocation, and systemic inflammatory response are gradually recognized [10, 11] and the compromised intestinal barrier integrity and increased bacterial translocation in patients with pre-existing hyperglycemia have been considered to cause worse prognosis in COVID-19 [14].

To further investigate the roles of compromised intestinal barrier integrity in critically ill patients with pre-existing hyperglycemia, we compared the intestinal barrier biomarkers and other clinical indicators between HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group. The results showed that HbA1c ≥ 6.5% Group was lower in the NEU proportion, temperature, and lactate, indicating a milder severity of infection and a slighter disorder of circulatory system in this group. As is known to all, selection bias is almost inevitable in a retrospective observational study without a satisfactory sample size [28]. In the present study, selection bias resulted in a less severe infection and a milder circulatory dysfunction in HbA1c ≥ 6.5% Group. As mentioned above, the compromised intestinal barrier integrity did not accompanied with the damage of IECs. Compared with HbA1c < 6.5% Group, HbA1c ≥ 6.5% Group had similar levels of D-lactate and LPS but a lower level of DAO, which indicated that these patients suffered similar compromised intestinal barrier integrity even under a milder IECs damage. However, the indicators of disease severity and prognosis between these two groups displayed no statistical difference.

Taken together, Although the severities of infection, circulatory dysfunction, and IECs damage were milder, neither a slighter compromised intestinal barrier integrity nor a better outcome was achieved in HbA1c ≥ 6.5% Group. Since gut dysbiosis and compromised intestinal barrier integrity have been induced by hyperglycemia before the onset of critical illness [10, 12], for those patients with pre-existing hyperglycemia, the co-effect of hyperglycemia and critical illness will result in more severe compromised intestinal barrier integrity, bacterial translocation, and finally worse outcome [4, 5]. Therefore, we suggested that the compromised intestinal barrier integrity might be responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia.

Perspective: the control of hyperglycemia in critical illness, to improve intestinal barrier integrity

Since the compromised intestinal barrier integrity plays an essential role in the development of critical illness, improving intestinal barrier integrity is considered to be a potential strategy in the treatment of critical illness [29]. As hyperglycemia can directly impair intestinal barrier and increase bacterial translocation [12], the control of hyperglycemia is thought to restore intestinal barrier integrity and inhibit bacterial translocation. Interestingly, some anti-diabetic agents with the capability of improving intestinal barrier integrity can bring advantages in the management of critical illness [30]. Given that hyperglycemia, irrespective of the diabetes status, is associated with poor prognosis in critically ill patients [4, 5], the role of compromised intestinal barrier integrity in critically ill patients with pre-existing hyperglycemia theoretically answers the question why it is important to control hyperglycemia.

This study had some limitations. First, although the compromised intestinal barrier integrity in patients with pre-existing hyperglycemia has been demonstrated in previous clinical studies [13, 31], the intestinal barrier function before the onset of critical illness were unavailable in our study. Second, HbA1c reflects the average blood glucose level in the past 2 to 3 months, the effect of blood glucose before 3 months is unknown. Besides, diabetic patients with well controlled hyperglycemia have not been discussed in the study. Third, as a retrospective observational study with small sample size, selection bias resulted in different severities of infection, circulatory dysfunction, and IECs damage between HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group, and the conclusions of this study needs to be further confirmed in prospective studies.

Conclusions

This was a retrospective observational study investigated the intestinal barrier biomarkers in critically ill patients. Results showed that D-lactate and LPS were associated with SOFA score and 90-day mortality, LPS was an independent risk factor of 90-day mortality, indicating that the intestinal barrier integrity was associated with the disease severity and prognosis in critical illness. In addition, DAO, NEU proportion, temperature, lactate were lower in HbA1c ≥ 6.5% Group while D-lactate, LPS, indicators of disease severity and prognosis showed no statistical difference between HbA1c < 6.5% Group and HbA1c ≥ 6.5% Group, indicating that although the severities of infection, circulatory dysfunction, and IECs damage were milder, neither a slighter compromised intestinal barrier integrity, nor a better outcome was achieved in patients with pre-existing hyperglycemia. Taken together, the compromised intestinal barrier integrity might be responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia.

Availability of data and materials

The raw data are available from the corresponding author on reasonable request.

Abbreviations

AKI:

Acute kidney injury

ALT:

Alanine transaminase

APACHE II:

Acute physiology and chronic health evaluation II

AST:

Aspartate transaminase

CI:

Confidence interval

CRP:

C-reactive protein

DAO:

Diamine oxidase

FBG:

Fasting blood glucose

HbA1c:

Hemoglobin A1c

HR:

Hazard ratio

IECs:

Intestinal epithelial cells

LOS:

Length of stay

LPS:

Lipopolysaccharide

MAP:

Mean arterial pressure

NE:

Norepinephrine

NEU:

Neutrophil

RPM:

Rate per minute

SOFA:

Sequential organ failure assessment

WBC:

White blood cell

References:

  1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, et al. IDF diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2045. Diabetes Res Clin Pract. 2021;183:109119.

    Article  PubMed  Google Scholar 

  2. Costantini E, Carlin M, Porta M, Brizzi MF. Type 2 diabetes mellitus and sepsis: state of the art, certainties and missing evidence. Acta Diabetol. 2021;58(9):1139–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Pranata R, Henrina J, Raffaello WM, Lawrensia S, Huang I. Diabetes and COVID-19: the past, the present, and the future. Metab Clin Exp. 2021;121:154814.

    Article  CAS  PubMed  Google Scholar 

  4. Jiang L, Cheng M. Impact of diabetes mellitus on outcomes of patients with sepsis: an updated systematic review and meta-analysis. Diabetol Metab Syndr. 2022;14(1):39.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Guo F, Shen H. Glycosylated hemoglobin as a predictor of sepsis and all-cause mortality in trauma patients. Infect Drug Resist. 2021;14:2517–26.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Di Tommaso N, Gasbarrini A, Ponziani FR. Intestinal barrier in human health and disease. Int J Environ Res Public Health. 2021;18(23):12836.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Klingensmith NJ, Coopersmith CM. The Gut as the motor of multiple organ dysfunction in critical illness. Crit Care Clin. 2016;32(2):203.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Assimakopoulos SF, Triantos C, Thomopoulos K, Fligou F, Maroulis I, Marangos M, Gogos CA. Gut-origin sepsis in the critically ill patient: pathophysiology and treatment. Infection. 2018;46(6):751–60.

    Article  CAS  PubMed  Google Scholar 

  9. Tilg H, Zmora N, Adolph TE, Elinav E. The intestinal microbiota fuelling metabolic inflammation. Nat Rev Immunol. 2020;20(1):40–54.

    Article  CAS  PubMed  Google Scholar 

  10. Riedel S, Pheiffer C, Johnson R, Louw J, Muller CJF. Intestinal barrier function and immune homeostasis are missing links in obesity and type 2 diabetes development. Front Endocrinol. 2021;12: 833544.

    Article  Google Scholar 

  11. Wang YF, Wang S, Xu HY, Liu LJ. Commentary: Intestinal barrier function and immune homeostasis are missing links in obesity and type 2 diabetes development. Front Endocrinol. 2022;13: 939703.

    Article  Google Scholar 

  12. Thaiss CA, Levy M, Grosheva I, Zheng D, Soffer E, Blacher E, Braverman S, Tengeler AC, Barak O, Elazar M, et al. Hyperglycemia drives intestinal barrier dysfunction and risk for enteric infection. Science. 2018;359(6382):1376–83.

    Article  CAS  PubMed  Google Scholar 

  13. Wang Y, Ding L, Yang J, Liu L, Dong L. Intestinal fatty acid-binding protein, a biomarker of intestinal barrier dysfunction, increases with the progression of type 2 diabetes. PeerJ. 2021;9: e10800.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Assimakopoulos SF, Eleftheriotis G, Lagadinou M, Karamouzos V, Dousdampanis P, Siakallis G, Marangos M. SARS CoV-2-induced viral sepsis: the role of gut barrier dysfunction. Microorganisms. 2022;10(5):1050.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Classification and Diagnosis of Diabetes. Standards of medical care in diabetes-2020. Diabetes Care. 2020;43(Suppl 1):S14-s31.

    Google Scholar 

  16. Fukudome I, Kobayashi M, Dabanaka K, Maeda H, Okamoto K, Okabayashi T, Baba R, Kumagai N, Oba K, Fujita M, et al. Diamine oxidase as a marker of intestinal mucosal injury and the effect of soluble dietary fiber on gastrointestinal tract toxicity after intravenous 5-fluorouracil treatment in rats. Med Mol Morphol. 2014;47(2):100–7.

    Article  CAS  PubMed  Google Scholar 

  17. Zhou X, Li J, Guo J, Geng B, Ji W, Zhao Q, Li J, Liu X, Liu J, Guo Z, et al. Gut-dependent microbial translocation induces inflammation and cardiovascular events after ST-elevation myocardial infarction. Microbiome. 2018;6(1):66.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Luethi N, Cioccari L, Tanaka A, Kar P, Giersch E, Deane AM, Martensson J, Bellomo R. Glycated hemoglobin A1c levels are not affected by critical illness. Crit Care Med. 2016;44(9):1692–4.

    Article  CAS  PubMed  Google Scholar 

  19. Barichello T, Generoso JS, Singer M, Dal-Pizzol F. Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review. Critical care (London, England). 2022;26(1):14.

    Article  Google Scholar 

  20. Qiu C, Wang L, Chen C, Guan X, Ouyang B. Clinical study of D-lactate and intestinal fatty acid binding protein in evaluating disease severity and prognosis of ICU patients: secondary analysis of a prospective, multicenter clinical study. Zhonghua wei zhong bing ji jiu yi xue. 2020;32(11):1331–5.

    PubMed  Google Scholar 

  21. Lambden S, Laterre PF, Levy MM, Francois B. The SOFA score-development, utility and challenges of accurate assessment in clinical trials. Critical care (London, England). 2019;23(1):374.

    Article  Google Scholar 

  22. Prevel R, Enaud R, Orieux A, Camino A, Berger P, Boyer A, Delhaes L, Gruson D. Gut bacteriobiota and mycobiota are both associated with Day-28 mortality among critically ill patients. Critical care (London, England). 2022;26(1):105.

    Article  Google Scholar 

  23. Zhang J, Ankawi G, Sun J, Digvijay K, Yin Y, Rosner MH, Ronco C. Gut-kidney crosstalk in septic acute kidney injury. Critical care (London, England). 2018;22(1):117.

    Article  Google Scholar 

  24. Zhang X, Liu H, Hashimoto K, Yuan S, Zhang J. The gut-liver axis in sepsis: interaction mechanisms and therapeutic potential. Critical care (London, England). 2022;26(1):213.

    Article  Google Scholar 

  25. Wozniak H, Beckmann TS, Fröhlich L, Soccorsi T, Le Terrier C, de Watteville A, Schrenzel J, Heidegger CP. The central and biodynamic role of gut microbiota in critically ill patients. Critical care (London, England). 2022;26(1):250.

    Article  Google Scholar 

  26. Adelman MW, Woodworth MH, Langelier C, Busch LM, Kempker JA, Kraft CS, Martin GS. The gut microbiome’s role in the development, maintenance, and outcomes of sepsis. Critical care (London, England). 2020;24(1):278.

    Article  Google Scholar 

  27. Bielka W, Przezak A, Pawlik A. The role of the gut microbiota in the pathogenesis of diabetes. Int J Mol Sci. 2022;23(1):480.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Song JW, Chung KC. Observational studies: cohort and case-control studies. Plast Reconstr Surg. 2010;126(6):2234–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Otani S, Coopersmith CM. Gut integrity in critical illness. J Intensive Care. 2019;7:17.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Wang YF, Li JW, Wang DP, Jin K, Hui JJ, Xu HY. Anti-hyperglycemic agents in the adjuvant treatment of sepsis: improving intestinal barrier function. Drug Des Dev Ther. 2022;16:1697–711.

    Article  Google Scholar 

  31. Yuan JH, Xie QS, Chen GC, Huang CL, Yu T, Chen QK, Li JY. Impaired intestinal barrier function in type 2 diabetic patients measured by serum LPS, Zonulin, and IFABP. J Diabetes Complications. 2021;35(2): 107766.

    Article  CAS  PubMed  Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China (81401619), the Youth Medical Talent Project from Jiangsu Provincial Commission of Health and Family Planning (QNRC2016178), and Taihu-Talent Project of Wuxi government (2021THRC-TD-ZZYXK-2021).

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Authors

Contributions

YW, HX, and LL contributed to conception and design of the study. FL and ML organized the database. YW, FL, LD, and JH performed the statistical analysis, YW, FL, and ML wrote the first draft of the manuscript. LD, JH, HX, and LL revised the manuscript. YW and FL contributed equally to this work and share first authorship. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Hong-Yang Xu or Li-Jun Liu.

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Ethics approval and consent to participate

The present study was approved by the Research Ethics Committee of the Affiliated Wuxi People's Hospital of Nanjing Medical University (KY22018). Since this was a retrospective study, the informed consent was waived.

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The authors declare that they have no competing interests.

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Wang, YF., Liang, FM., Liu, M. et al. Is compromised intestinal barrier integrity responsible for the poor prognosis in critically ill patients with pre-existing hyperglycemia?. Diabetol Metab Syndr 14, 172 (2022). https://doi.org/10.1186/s13098-022-00943-5

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