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Association between histamine 2 receptor antagonists and sepsis outcomes in ICU patients: a retrospective analysis using the MIMI-IV database

Abstract

Background

Sepsis is marked by elevated histamine, which is a vasodilator that increases vascular permeability. Although human studies are lacking, murine models of sepsis have indicated potential protective effects of histamine 2 receptor antagonist administration (H2RAs).

Objective

To assess any association between H2RA use in sepsis-3 patients admitted to the ICU and mortality, mechanical ventilation, length of stay, and markers of renal, liver, and lung dysfunction.

Design

Retrospective cohort study.

Setting

Intensive care units of the Beth Israel Deaconess Medical Center (BIDMC) accessed via the MIMIC-IV database spanning an 11-year period from 2008 to 2019.

Patients (or participants)

A total of 30,591 patients met the inclusion criteria for sepsis-3 on admission (mean age 66.49, standard deviation 15.92).

Main measures

We collected patient age, gender, ethnicity, comorbidities (contained within the Charlson comorbidity index), SOFA score, OASIS score, APS III score, SAPS II score, H2RA use, creatinine, BUN, ALT, AST, and P/F ratios. Primary outcomes were mortality, mechanical ventilation, and ICU length of stay.

Key results

A total of 30,591 patients met inclusion criteria over the 11-year sample period. The 28-day in hospital mortality rate was significantly lower among patients who received an H2RA (12.6% vs 15.1%, p < 0.001) as compared to those who did not receive an H2RA. Patients receiving an H2RA had significantly lower adjusted odds of mortality (0.802, 95% CI 0.741–0.869, p < 0.001), but significantly higher adjusted odds of invasive mechanical ventilation (4.426, 95% CI 4.132–4.741, p < 0.001) and significantly higher ICU LOS (3.2 days vs. 2.4 days, p < 0.001) as compared to the non-H2RA group. H2RA use was also associated with decreased severity of acute respiratory distress syndrome (ARDS) and lower serum creatinine.

Conclusion

Among patients hospitalized in the ICU for sepsis, the use of an H2RA was associated with significantly lower odds of mortality, decreased severity of ARDS, and a lower incidence of renal insufficiency.

Introduction

Among hospitalized patients, sepsis is associated with increased morbidity and mortality, prolonged length of stay (LOS), and higher healthcare costs. In addition, sepsis represents a leading cause of neurological and functional disability [1, 2]. Early recognition of sepsis and intervention with source control, antibiotics, and hemodynamic and ventilation optimization is critical to improve outcomes [3,4,5]. Adjunctive therapies for sepsis sometimes include corticosteroids [6] and experimental therapeutics such as liposomal agents, antibacterial antibodies, alkaline phosphatase, and interleukin-7 are currently under investigation [7].

Sepsis is associated with increased plasma concentration of histamine, which has vasodilatory effects at the capillary level [8, 9]. In mouse models of sepsis, activation of histamine-1 and 2 receptors contributed to the development of major organ damage deemed to be due to higher levels of proinflammatory cytokines with associated capillary rupture and vascular leak and resultant parenchymal lung damage, marked elevation in liver enzymes and BUN/creatinine levels [10]. In that study, the administration of intravenous famotidine (a histamine-2 receptor blocker) resulted in reduced incidence end organ damage [10], suggesting that histamine-2 receptors are involved in sepsis-related lung, liver, and kidney injuries. In fact, glucocorticoids are used even in the absence of adrenal insufficiency or shock to counteract the vasodilatory effects of histamine release in septic shock [6, 11].

However, there are limited data describing the relationship between histamine receptor antagonism and sepsis outcomes. The Surviving Sepsis Campaign recommends stress ulcer prophylaxis in patients with bleeding risk factors [12]. H2RAs and proton pump inhibitors (PPIs) are the most commonly used drugs for stress ulcer prophylaxis (SUP). Guidelines suggest that in critically ill patients, not exclusively sepsis patients, PPIs are preferred in patients with high risk of GI bleeding due to increased efficacy in decreasing clinically important bleeding (CIB) [13]. In patients with lower risk of CIB, there are no clear guidelines for use. H2RAs may also be preferred due to their lower cost, potential lower risk of pneumonia compared to proton pump inhibitors [14,15,16,17,18]. Furthermore, research has demonstrated that although CIB is decreased with PPIs compared to H2RAs, mortality has not been significantly different between groups, with mortality generally being lower with H2RA use [13, 19]. These studies all focus on patients who are critically ill, but not necessarily meeting sepsis-3 criteria. Due to the ubiquitous use of H2RAs both for treatment and prophylactic indications, potential mortality benefits of H2RAs, and early data suggesting histamine blockage could be beneficial in murine sepsis models, we sought to investigate the association between HR2A use and all-cause mortality, end organ damage, and hospital length of stay in ICU patients who specifically had sepsis by the current definition.

Methods

Summary of data source

We used data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database [20]. The MIMIC-IV is a publicly available, free database which contains a comprehensive catalog of individual patient-level information on hospital stays for patients admitted to a tertiary academic medical center in Boston, MA, USA and obtained from PhysioNet [21]. PhysioNet currently operates with funding from the National Institute of Biomedical Imaging and Bioengineering and offers data on several clinical parameters on over 40,000 individual subjects as well as tools to extract and analyze the data.

Study population and outcomes

We queried the MIMIC-IV database for all adult intensive care unit (ICU) stays from 2008 to 2019. Patients 18 years or older, were included if they met the sepsis-3 criteria [22]. We acquired the following information for each patient indexed by stay ID: age, gender, and risk scores including APS III [23], SAPS II [24], SOFA [25], OASIS [26], and the Charlson comorbidity index [27]. We also extracted data on time from ICU admission to H2RA administration (if applicable), and time from ICU admission to invasive mechanical ventilation (IMV). We extracted ICU length of stay, number of days until in-hospital mortality, and in-hospital 28-day mortality. We assessed the severity of respiratory dysfunction with daily means of PaO2/FiO2 (PF ratio) over a 7-day period after admission for each patient. We further categorized the severity of pulmonary dysfunction based on the Berlin definition of acute respiratory distress syndrome, ARDS (severe ARDS: P/F ratio < 100 mmHg; moderate ARDS: P/F ratio < 200 mmHg; mild ARDS: P/F ratio < 300 mmHg) [28]. Additionally, kidney function and liver function were followed for each patient over the same 7-day period using daily means of BUN, creatinine, alanine aminotransferase (ALT), and aspartate aminotransferase (AST). Queries were performed in Google BigQuery [29]. Primary outcomes of interest included in-hospital mortality, ICU length of stay, and the use of IMV after day 1 of ICU stay. Secondary Outcomes included the mean P/F ratio, mean BUN/Cr ratio, AST, and ALT levels on days 1 through 7 of ICU stay. Patients were grouped by whether they had received H2RAs (ranitidine, famotidine, or cimetidine) from time of admission to 1 day of ICU stay (H2RA group) and those who did not (no H2RA group). We excluded patients who received H2RAs after day 1 of ICU admission as well as patients who were mechanically ventilated prior to receiving H2RAs. Patients with missing values in age, gender, comorbidities, or timestamps corresponding to H2RA use or mechanical ventilation (where these treatments were utilized) were also excluded.

Statistical analyses

Continuous variables were summarized as means ± standard deviations or median (interquartile range), where appropriate. Categorical variables were summarized as counts (percentages). We assessed differences in 28-day mortality between groups using univariate analysis and used a multivariable logistic regression analysis including age, gender, risk scores, and comorbidities to examine between group differences. Utilizing the same patient groups as the mortality analysis, we evaluated the ICU length of stay between groups, first utilizing univariate analysis of length of stay. We then evaluated differences in a multivariable linear regression model including age, gender, risk scores, and comorbidities. Risk for IMV was assessed with univariate analysis as well as in multivariable logistic regression. Subgroup analysis of IMV and H2RA administration was performed to assess mortality differences between groups, which were defined as follows: baseline group—patients not on H2RAs who were not ventilated; group 1—patients not on H2RAs who were ventilated; group 2—patients on H2RAs who were not ventilated; and group 3—patients on H2RAs who were ventilated. Mortality of these subgroups were assessed using univariate and multivariable logistic regression controlling for the same covariates as above. We compared daily median PF ratio, BUN/Cr ratio, BUN, creatinine, AST, and ALT between patients who used H2RA and those who did not using Wilcoxon signed rank test. Median confidence intervals were calculated based on David Olive’s method [30]. Proportions of patients in the H2RA and No H2RA group categorized as no ARDS, mild ARDS, moderate ARDS, and severe ARDS were calculated on days 1 through 7 from ICU admission to further assess lung function. Mann-Kendall’s test was used to assess linear trends in the proportion of patients in each group among the four categories of lung function (where positive tau values mean an increasing linear trend). Data cleaning and analysis utilized RStudio version 1.4.1106 (RStudio Team, 2020) and Jamovi 2 [31,32,33,34,35,36,37]. All analyses were performed as two-sided with a 0.05 level of significance.

Results

Baseline characteristics

We included 35,010 patients who met sepsis 3 criteria and were admitted to the ICU at some point in their hospital stay from the years 2008 to 2019. We excluded 4419 patients who were either mechanically ventilated prior to ICU admission or received H2RAs after 1 day into their ICU stay. Of these, 12,908 were in the H2RA group (42.2%) and 17,683 (57.8%) were in the No H2RA group. Table 1 summarizes baseline characteristics of patients included in this study. The median age of the No H2RA group was significantly older than the H2RA group (69 vs 66 years, p < 0.001). Males were overrepresented in the overall cohort and were significantly less in the no H2RA group compared to the H2RA group (55.66% vs 60.65%, p < 0.001). Comorbidities investigated showed significant differences in all categories, effect sizes rarely were greater than 5%. Notable differences included cerebrovascular disease [no H2RA vs. H2RA] (10.98% vs 17.48%, p < 0.01), chronic pulmonary disease (30.16% vs 25.23%, p < 0.01), congestive heart failure (36.76% vs 28.12%, p < 0.01), malignant cancer (16.23% vs 11.07%, p < 0.01), mild liver disease (19.32% vs 10.51%, p < 0.01), renal disease (30.96% vs 19.62%, p < 0.01), and severe liver disease (11.34% vs 4.03%, p < 0.01). Small but significant differences were found for median Charlson comorbidity index (6 vs 5, p < 0.01). Small but significant differences in median were also found in three of the four risk scores including APS III (51 vs 48, p < 0.01), OASIS (33 vs 35, p < 0.01), and SOFA score (5 vs 6, p < 0.01). There was no difference in the median SAPS II score.

Table 1 Summary of baseline patient characteristics

All-cause mortality

The 28-day in hospital mortality rate was significantly lower among patients who used H2RAs prior to their ICU stay (12.6% vs 15.1%, p < 0.001). A multivariable logistic regression demonstrated that patients in the H2RA group had an adjusted odds ratio (OR) of 0.802 (0.741–0.869, p < 0.001) for 28-day in hospital mortality. Figure 1 shows the relative strengths of the predictors of 28-day mortality in our model.

Fig. 1
figure 1

Predictors of 28-day mortality among patients who stayed in the ICU for sepsis management

Length of stay

H2RA use was associated with a significantly longer median length of ICU stay (3.2 days vs 2.4 days, p < 0.001). Multivariable linear regression analysis demonstrated a significant association between receiving H2RAs and increased ICU length of stay (LOS) (difference in days: 1.569, standard estimate 0.23, p < 0.001). Other significant predictors of increased ICU length of stay included APS III (difference in days 0.113, standard estimate: 0.31, p < 0.001), SAPS II (difference in days − 0.14, standard estimate − 0.31, p < 0.001), dementia (difference in days − 1.988, standard estimate − 0.24, p < 0.001), metastatic solid tumor (difference in days − 1.472, standard estimate − 0.23, p < 0.001), oasis (difference in days 0.158, standard estimate 0.21, p < 0.001), cerebrovascular disease (difference in days 1.39, standard estimate 0.19, p < 0.001), severe liver disease (difference in days − 1.697, standard estimate − 0.19, p < 0.001), paraplegia (difference in days 1.042, standard estimate 0.18, p < 0.001), Charlson comorbidity index (difference in days 0.427, standard estimate 0.17, p < 0.001), first SOFA score (difference in days 0.353, standard estimate 0.15, p < 0.001), mild liver disease (difference in days − 0.887, standard estimate − 0.14, p < 0.001), diabetes with complicating condition (difference in days − 1.082, standard estimate − 0.13, p < 0.001), renal disease (difference in days − 1.222, standard estimate − 0.13, p < 0.001), rheumatic disease (difference in days − 0.889, standard estimate − 0.12, p < 0.001), diabetes without complicating condition (difference in days − 0.768, standard estimate − 0.09, p < 0.001), myocardial infarct (difference in days − 0.573, standard estimate − 0.08, p < 0.001), peptic ulcer disease (difference in days 0.135, standard estimate 0.08, p < 0.01), age (difference in days − 0.027, standard estimate − 0.06, p < 0.001).

Need for invasive mechanical ventilation

Significantly more patients in the H2RA group required invasive mechanical ventilation than the No H2RA group (62.15% vs. 31.81%, p < 0.01). Multivariable logistic regression demonstrated that patients in the H2RA group had an adjusted odd ratio of 4.426 (95% CI [4.132 – 4.741], p < 0.001) for needing mechanical ventilation (Fig. 2).

Fig. 2
figure 2

Predictors of need for invasive mechanical ventilation among patients who stayed in the ICU for sepsis management

Association between H2RA use and IMV on mortality and length of stay outcomes

To assess differences in mortality based on a combination of H2RA use and the need for IMV, we identified four sub-groups (defined in methods above) and compared mortality outcomes between them. Mortality rate differed significantly between the groups (Table 2). The baseline group was not on H2RAs and did not receive IMV. Mortality rate in this group was 10.2%. Patients in group 2 who received H2RAs and did not require IMV, had the lowest mortality rate of 6.7%. Mortality rate was highest, 25.4% among those who were on IMV but did not receive H2RA (group 2). Multivariable logistic regression demonstrated significant differences between group 2 vs the baseline group (OR 0.79 95% CI [0.686–0.911], p = 0.001) and group 1 vs the baseline group (OR 1.419 95% CI [1.265–1.591], p < 0.001) (Table 3). No significant difference was found between group 3 and the baseline group (OR 1.042 95% CI [0.93–1.168], p = 0.474). Among groups of patients with IMV, i.e., groups 1 and 3, there was a significant increased odds of mortality in group 1, who did not receive H2RAs, compared to group 3 (OR 1.36 95% CI [1.23–1.50], p < 0.001).

Table 2 Subgroup analysis of the relationship between H2RA use and mechanical ventilation status and mortality and length of stay outcomes
Table 3 Multivariable logistic regression of 28-day mortality in subgroup analysis of mechanical ventilation and H2RA groups (note: same covariates were used in these models as the mortality analysis)

In subgroup analysis of LOS, we found that patients who received IMV had significantly longer mean LOS (H2RA group 7.8 days; no H2RA group 6.9 days) while the patients who were not mechanically ventilated had significantly lower mean LOS (H2RA group 2.8 days; no H2RA group 2.6 days) (Table 2). Furthermore, between just the ventilated patients, the mean LOS was statistically significant (p < 0.001) with H2RA patients on mechanical ventilation having longer length of stay.

Association between H2RA use and organ dysfunction

Patients receiving H2RAs had significantly higher median P/F ratios on days 1 through 7 of ICU stay (p < 0.05) (Fig. 3A). Overall, H2RA use is associated with better lung function on most days as indicated by higher PF ratios. In the H2RA group compared to the no H2RA group, significantly higher proportion (p < 0.05) of patients were in the no ARDS and mild ARDS groups on all days except for day 3 (Fig. 4). Median BUN/Cr ratios were significantly lower (p < 0.05) on days 1–3 for patients in the H2RA group while these were significantly higher on days 4–7 (Fig. 3). BUN medians were significantly lower in the group receiving H2RAs on most days (Fig. 3). Serum creatinine medians were significantly lower on all days following ICU admission in the H2RA group (Fig. 3). Median AST and ALT were generally not significantly different in the H2RA group versus the no H2RA group.

Fig. 3
figure 3

Daily trend in lung, kidney, and liver function over the first seven days of ICU stay

Fig. 4
figure 4

Daily proportions of patients in each ARDS severity group from days 1 to 7 of ICU admission

Discussion

H2RAs are widely used for the management of acid-peptic disease, including gastroesophageal reflux disease, gastric and duodenal ulcers and for SUP in critically ill patients. In this retrospective cohort study of ICU patients with sepsis, we assessed the association between the use of H2RAs and sepsis outcomes based on the demonstrated role of histamine antagonism in attenuating sepsis-related organ dysfunction in mouse models.

Our analysis shows that H2RA administration is associated with decreased mortality for non-ventilated and ventilated patients with sepsis. Notably, decreased mortality was observed despite a slightly higher median first day SOFA score among patients who received an H2RA as compared to the non-H2RA group. Patients receiving an H2RA also had higher average P/F ratios and were less likely to develop moderate or severe ARDS as compared to those who were not treated with an H2RA. Interestingly, despite the mortality benefit, H2RA use was associated with an increased rate of invasive mechanical ventilation, and longer ICU LOS. The increased risk of invasive mechanical ventilation among patients receiving an H2RA most likely reflects correlation rather than causation: H2RAs are routinely administered prophylactically to patients on invasive mechanical ventilation to reduce the risk of gastrointestinal hemorrhage. In our analysis, both ventilated and non-ventilated patients receiving an H2RA had significantly reduced odds of mortality as compared to those who did not receive an H2RA.

Prolonged ICU LOS among patients receiving an H2RA may also reflect correlation rather than causation. H2RAs were administered more frequently to ventilated patients as compared to non-ventilated patients. Increased ventilation requirements typically indicate more severe disease and thus it is expected that ventilated patients will require a longer LOS as compared to non-ventilated patients, irrespective of H2RA administration. Notably, however, ventilated patients who received an H2RA required approximately one day longer LOS as compared to ventilated patients who did not receive an H2RA. Similarly, non-ventilated patients who received an H2RA required approximately 2 h longer LOS as compared to non-ventilated patients who did not receive an H2RA. The underlying cause of prolonged LOS among patients treated with an H2RA requires further investigation.

The decreased mortality observed in patients taking H2RAs in mechanically ventilated and non-ventilated patients despite prolonged ICU length of stay is somewhat paradoxical and warrants careful examination. We hypothesize that H2RAs may improve pulmonary function in the setting of sepsis via a dual mechanism involving a reduction in alveolar wall edema and modulation of airway and vascular smooth muscle inflammation. Previous studies have shown that histamine 2 receptors are expressed on mast cells; antagonism of mast cell histamine 2 receptors may decrease degranulation and attenuate local alveolar wall edema [38]. In addition, antagonism of histamine 2 receptors expressed by airway and vascular smooth muscles can reduce pulmonary vascular resistance and thus improve hemodynamic and functional status [39]. In our analysis, we provide data suggest improved pulmonary function among patients receiving H2RAs, as evidenced by higher average P/F ratios and decreased rates of moderate or severe ARDS.

H2RAs demonstrate a wide range of extraintestinal effects. They have been shown to reduce ventricular remodeling by interrupting histamine-mediated myocardial remodeling. The Multi-Ethnic Study of Atherosclerosis (MESA) right ventricle study established that H2RA use was associated with lower right ventricular mass and end-diastolic volume among individuals with risk factors for cardiovascular disease [40, 41]. Other purported extraintestinal benefits of H2RAs are far-reaching and include reduction of bladder pain from interstitial cystitis, improvement of cell-mediated immunity, and reduction of symptoms related to erythropoietic protoporphyria [42,43,44]. Furthermore, recent studies have demonstrated a potential role for H2RAs as an adjunctive treatment for COVID-19 [45, 46]. To the best of our knowledge, this is the first large-scale study to assess the effect of H2RAs on mortality in the setting of sepsis.

The study is strengthened by a large sample size with many data elements per subject. The MIMIC-IV database provides risk scores, disease severity indices, and extensive comorbidity information for each subject, which allowed us to control for potential confounding variables. This study also considers only patients with sepsis, whereas other studies on GI prophylactic medications have included all critically ill patients with a range of possible etiologies for their admissions. However, there are several limitations of our study inherent to its design. First, the analysis was retrospective and thus causation could not be assessed. Second, H2RAs were considered as a class thus we are unable determine if the relationships observed are a class effect. Further, we were unable to include specific doses of agents in our analysis; therefore, dose effects could not be assessed. Third, the specific cause of death is not included in the MIMIC-IV database. We therefore report crude mortality rates. The mechanisms underlying the mortality benefit associated with H2RAs could conceivably be more clearly defined if cause of death was established. Fourth, the no-H2RA group likely included a heterogenous group of patients who could ostensibly be receiving other GI prophylaxis, or no GI prophylaxis at all. Lastly, the data utilized in this study was limited to a single center, which may limit the generalizability of our findings.

In ICU patients with sepsis, the use of H2RAs is associated with significantly lower adjusted odds and incidence of all-cause mortality irrespective of the initial severity of sepsis and invasive mechanical ventilation status. The underlying mechanism for this observation is unclear but may be due to amelioration of histamine-related dysfunction at the capillary beds with resultant improvement in tissue perfusion. We speculate that H2RAs restore the integrity of the vascular membrane, reduce alveolar wall edema, and mitigate airway and vascular smooth muscle inflammation. H2RAs are routinely used in stress ulcer prophylaxis in mechanically ventilated patient. Our findings suggest that H2RAs may provide extraintestinal benefits in ICU patients with sepsis; although PPIs may be preferred among patients with a high risk of gastrointestinal hemorrhage, we propose that H2RAs should be considered for patients with a high risk of pneumonia and other cardiopulmonary complications Further research is warranted to clearly define the mechanisms underlying histamine-mediated end organ damage and establish potential applications for H2RAs among patients with sepsis.

Availability of data and materials

The datasets analyzed during the current study are publicly available in the MIMIC-IV database (https://physionet.org/content/mimiciv/1.0/).

Abbreviations

AIDS:

Acquired immunodeficiency syndrome

ALT:

Alanine Aminotransferase

APS III:

Acute Physiology Score III

ARDS:

Acute respiratory distress syndrome

AST:

Aspartate aminotransferase

MIMIC-IV:

Medical Information Mart for Intensive Care IV

BUN:

Blood urea nitrogen

CIB:

Clinically important bleeding

H2RA:

Histamine-2 receptor antagonists

ICU:

Intensive care unit

IMV:

Invasive mechanical ventilation

LOS:

Length of stay

OASIS:

Outcome Assessment Information Set

SAPS II:

Simplified Acute Physiology Score II

SOFA:

Sequential Organ Failure Assessment

SUP:

Stress ulcer prophylaxis

References

  1. Paoli CJ, Reynolds MA, Sinha M, Gitlin M, Crouser E (2018) Epidemiology and costs of sepsis in the United States-an analysis based on timing of diagnosis and severity level. Crit Care Med 46(12):1889–1897

    Article  PubMed  PubMed Central  Google Scholar 

  2. Hajj J, Blaine N, Salavaci J, Jacoby D (2018) The “centrality of sepsis”: a review on incidence, mortality, and cost of care. Healthcare (Basel) 6(3):E90

    Article  Google Scholar 

  3. Kim HI, Park S (2019) Sepsis: early recognition and optimized treatment. Tuberc Respir Dis (Seoul) 82(1):6–14

    Article  PubMed  Google Scholar 

  4. Gyawali B, Ramakrishna K, Dhamoon AS (2019) Sepsis: the evolution in definition, pathophysiology, and management. SAGE Open Med 7:2050312119835043

    Article  PubMed  PubMed Central  Google Scholar 

  5. Polat G, Ugan RA, Cadirci E, Halici Z (2017) Sepsis and septic shock: current treatment strategies and new approaches. Eurasian J Med 49(1):53–58

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Fang F, Zhang Y, Tang J, Lunsford LD, Li T, Tang R et al (2019) Association of corticosteroid treatment with outcomes in adult patients with sepsis: a systematic review and meta-analysis. JAMA Intern Med 179(2):213–223

    Article  PubMed  Google Scholar 

  7. Vignon P, Laterre P-F, Daix T, François B (2020) New agents in development for sepsis: any reason for hope? Drugs. 80(17):1751–1761

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ebeigbe AB, Talabi OO (2014) Vascular effects of histamine. Niger J Physiol Sci 29(1):7–10

    PubMed  Google Scholar 

  9. Jin H, Koyama T, Hatanaka Y, Akiyama S, Takayama F, Kawasaki H (2006) Histamine-induced vasodilation and vasoconstriction in the mesenteric resistance artery of the rat. Eur J Pharmacol 529(1–3):136–144

    Article  CAS  PubMed  Google Scholar 

  10. Hattori M, Yamazaki M, Ohashi W, Tanaka S, Hattori K, Todoroki K et al (2016) Critical role of endogenous histamine in promoting end-organ tissue injury in sepsis. Intensive Care Med Exp 4(1):36

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lansing AM (1963) Septic shock. Can Med Assoc J 89(12):583–588

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM et al (2013) Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med 41(2):580–637

    Article  PubMed  Google Scholar 

  13. Wang Y, Ge L, Ye Z, Siemieniuk RA, Reintam Blaser A, Wang X, Perner A, Møller MH, Alhazzani W, Cook D, Guyatt GH (2020) Efficacy and safety of gastrointestinal bleeding prophylaxis in critically ill patients: an updated systematic review and network meta-analysis of randomized trials. Intensive Care Med 46(11):1987–2000. https://doi.org/10.1007/s00134-020-06209-w Epub 2020 Aug 24. PMID: 32833040

    Article  PubMed  Google Scholar 

  14. Barletta JF (2014) Histamine-2-receptor antagonist administration and gastrointestinal bleeding when used for stress ulcer prophylaxis in patients with severe sepsis or septic shock. Ann Pharmacother 48(10):1276–1281

    Article  CAS  PubMed  Google Scholar 

  15. Huang M, Han M, Han W, Kuang L (2021) Proton pump inhibitors versus histamine-2 receptor blockers for stress ulcer prophylaxis in patients with sepsis: a retrospective cohort study. J Int Med Res 49(6):3000605211025130

    Article  CAS  PubMed  Google Scholar 

  16. Zhou X, Fang H, Xu J, Chen P, Hu X, Chen B et al (2019) Stress ulcer prophylaxis with proton pump inhibitors or histamine 2 receptor antagonists in critically ill adults - a meta-analysis of randomized controlled trials with trial sequential analysis. BMC Gastroenterol 19(1):193

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Hammond DA, Kathe N, Shah A, Martin BC (2017) Cost-effectiveness of histamine2 receptor antagonists versus proton pump inhibitors for stress ulcer prophylaxis in critically ill patients. Pharmacotherapy: the journal of human pharmacology and drug. Therapy. 37(1):43–53

    Google Scholar 

  18. Alhazzani W, Alshamsi F, Belley-Cote E, Heels-Ansdell D, Brignardello-Petersen R, Alquraini M, Perner A, Møller MH, Krag M, Almenawer S, Rochwerg B, Dionne J, Jaeschke R, Alshahrani M, Deane A, Perri D, Thebane L, Al-Omari A, Finfer S, Cook D, Guyatt G (2018) Efficacy and safety of stress ulcer prophylaxis in critically ill patients: a network meta-analysis of randomized trials. Intensive Care Med 44(1):1–11. https://doi.org/10.1007/s00134-017-5005-8 Epub 2017 Dec 4. Erratum in: Intensive Care Med. 2017 Dec 11;: PMID: 29199388; PMCID: PMC5770505

    Article  CAS  PubMed  Google Scholar 

  19. Young PJ, Bagshaw SM, Forbes AB et al (2020) Effect of stress ulcer prophylaxis with proton pump inhibitors vs histamine-2 receptor blockers on in-hospital mortality among ICU patients receiving invasive mechanical ventilation: the PEPTIC randomized clinical trial. JAMA 323:616–626

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Johnson, Alistair, Bulgarelli, Lucas, Pollard, Tom, Horng, Steven, Celi, Leo Anthony, Mark, Roger. MIMIC-IV [Internet]. PhysioNet; [cited 2021 Nov 4]. Available from: https://physionet.org/content/mimiciv/0.4/

  21. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG et al (2000) PhysioBank, PhysioToolkit, and PhysioNet. Circulation. 101(23):e215–e220

    Article  CAS  PubMed  Google Scholar 

  22. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M et al (2016) The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 315(8):801–810

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG et al (1991) The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 100(6):1619–1636

    Article  CAS  PubMed  Google Scholar 

  24. Le Gall JR, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European/north American multicenter study. JAMA. 270(24):2957–2963

    Article  PubMed  Google Scholar 

  25. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça A, Bruining H et al (1996) The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. On behalf of the working group on sepsis-related problems of the European Society of Intensive Care Medicine. Intensive Care Med 22(7):707–710

    Article  CAS  PubMed  Google Scholar 

  26. Johnson AEW, Kramer AA, Clifford GD (2013) A new severity of illness scale using a subset of acute physiology and chronic health evaluation data elements shows comparable predictive accuracy. Crit Care Med 41(7):1711–1718

    Article  PubMed  Google Scholar 

  27. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383

    Article  CAS  PubMed  Google Scholar 

  28. The ARDS Definition Task Force* (2012) Acute respiratory distress syndrome: the Berlin definition. JAMA. 307(23):2526–2533

    Google Scholar 

  29. BigQuery documentation [Internet]. Google Cloud. [cited 2021 Nov 4]. Available from: https://cloud.google.com/bigquery/docs

  30. Olive DJ (2005) A simple confidence interval for the median

    Google Scholar 

  31. jamovi - Stats. Open. Now. [Internet]. [cited 2021 Dec 2]. Available from: https://www.jamovi.org/

  32. Heinzen E, Sinnwell J, Atkinson E, Gunderson T, Dougherty G, Votruba P, et al. arsenal: An Arsenal of “R” functions for large-scale statistical summaries [Internet]. 2021 [cited 2021 Dec 2]. Available from: https://CRAN.R-project.org/package=arsenal

  33. Kassambara A, Kosinski M, Biecek P, Fabian S. survminer: drawing survival curves using “ggplot2” [Internet]. 2021 [cited 2021 Dec 2]. Available from: https://CRAN.R-project.org/package=survminer

  34. Garbett S, Stewart T, Thompson J, Harrell F, Kim A. tangram: the grammar of tables [Internet]. 2020 [cited 2021 Dec 2]. Available from: https://CRAN.R-project.org/package=tangram

  35. Sjoberg DD, Curry M, Larmarange J, Lavery J, Whiting K, Zabor EC, et al. gtsummary: presentation-ready data summary and analytic result tables [Internet]. 2021 [cited 2021 Dec 2]. Available from: https://CRAN.R-project.org/package=gtsummary

  36. Harrison E, Drake T, Ots R. finalfit: quickly create elegant regression results tables and plots when modelling [Internet]. 2021 [cited 2021 Dec 2]. Available from: https://CRAN.R-project.org/package=finalfit

  37. The Comprehensive R Archive Network [Internet]. [cited 2021 Dec 2]. Available from: https://cran.r-project.org/

  38. Lippert U, Artuc M, Grützkau A, Babina M, Guhl S, Haase I et al (2004) Human skin mast cells express H2 and H4, but not H3 receptors. J Invest Dermatol 123(1):116–123

    Article  CAS  PubMed  Google Scholar 

  39. Akdis CA, Simons FER (2006) Histamine receptors are hot in immunopharmacology. Eur J Pharmacol 533(1–3):69–76

    Article  CAS  PubMed  Google Scholar 

  40. Leary PJ, Barr RG, Bluemke DA, Bristow MR, Kronmal RA, Lima JA et al (2014) H2 receptor antagonists and right ventricular morphology: the MESA right ventricle study. Ann Am Thorac Soc 11(9):1379–1386

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kim J, Ogai A, Nakatani S, Hashimura K, Kanzaki H, Komamura K et al (2006) Impact of blockade of histamine H2 receptors on chronic heart failure revealed by retrospective and prospective randomized studies. J Am Coll Cardiol 48(7):1378–1384

    Article  CAS  PubMed  Google Scholar 

  42. Dasgupta P, Sharma SD, Womack C, Blackford HN, Dennis P (2001) Cimetidine in painful bladder syndrome: a histopathological study. BJU Int 88(3):183–186

    Article  CAS  PubMed  Google Scholar 

  43. Kokhaei P, Barough MS, Hassan ZM (2014) Cimetidine effects on the immunosuppression induced by burn injury. Int Immunopharmacol 22(1):273–276

    Article  CAS  PubMed  Google Scholar 

  44. Tu JH, Sheu SL, Teng JM (2016) Novel treatment using cimetidine for Erythropoietic Protoporphyria in children. JAMA Dermatol 152(11):1258–1261

    Article  PubMed  Google Scholar 

  45. Chenchula S, Ray A, Sadasivam B (2021) Famotidine repurposing for novel corona virus disease of 2019: a systematic review. Drug Res (Stuttg) 71(06):295–301

    Article  CAS  PubMed  Google Scholar 

  46. Chiu L, Shen M, Lo C-H, Chiu N, Chen A, Shin HJ et al (2021) Effect of famotidine on hospitalized patients with COVID-19: a systematic review and meta-analysis. PLoS One 16(11):e0259514

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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TRF: conceptualization; design, analysis, and writing—initial draft. SS: writing—initial draft, generation of figures. DAA: design, analysis, writing—initial draft, review, and editing. BDB: writing initial draft, review, and editing. MBU: review and editing. MR: supervision and data access. FML: supervision, review, and editing. All authors read and approved the final version of the manuscript.

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Firzli, T.R., Sathappan, S., Antwi-Amoabeng, D. et al. Association between histamine 2 receptor antagonists and sepsis outcomes in ICU patients: a retrospective analysis using the MIMI-IV database. J Anesth Analg Crit Care 3, 3 (2023). https://doi.org/10.1186/s44158-023-00089-4

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