scholarly journals Hemogram as marker of in-hospital mortality in COVID-19

2021 ◽  
pp. jim-2021-001810
Author(s):  
Alejandro López-Escobar ◽  
Rodrigo Madurga ◽  
José María Castellano ◽  
Santiago Ruiz de Aguiar ◽  
Sara Velázquez ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Hospital Admission ◽  
White Blood Cells ◽  
Rate Of Change ◽  
Hospital Death ◽  
Direct Role ◽  
Lymphocyte Ratio ◽  
Risk Of Death ◽  
Rate Of Increase ◽  
Increased Risk

The clinical impact of COVID-19 disease calls for the identification of routine variables to identify patients at increased risk of death. Current understanding of moderate-to-severe COVID-19 pathophysiology points toward an underlying cytokine release driving a hyperinflammatory and procoagulant state. In this scenario, white blood cells and platelets play a direct role as effectors of such inflammation and thrombotic response. We investigate whether hemogram-derived ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and the systemic immune-inflammation index may help to identify patients at risk of fatal outcomes. Activated platelets and neutrophils may be playing a decisive role during the thromboinflammatory phase of COVID-19 so, in addition, we introduce and validate a novel marker, the neutrophil-to-platelet ratio (NPR).Two thousand and eighty-eight hospitalized patients with COVID-19 admitted at any of the hospitals of HM Hospitales group in Spain, from March 1 to June 10, 2020, were categorized according to the primary outcome of in-hospital death.Baseline values, as well as the rate of increase of the four ratios analyzed were significantly higher at hospital admission in patients who died than in those who were discharged (p<0.0001). In multivariable logistic regression models, NLR (OR 1.05; 95% CI 1.02 to 1.08, p=0.00035) and NPR (OR 1.23; 95% CI 1.12 to 1.36, p<0.0001) were significantly and independently associated with in-hospital mortality.According to our results, hemogram-derived ratios obtained at hospital admission, as well as the rate of change during hospitalization, may easily detect, primarily using NLR and the novel NPR, patients with COVID-19 at high risk of in-hospital mortality.

scholarly journals Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001526
Author(s):  
Elena Tessitore ◽  
David Carballo ◽  
Antoine Poncet ◽  
Nils Perrin ◽  
Cedric Follonier ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Male Gender ◽  
Hospital Death ◽  
Chronic Obstructive ◽  
University Hospitals ◽  
Adverse Cardiovascular Event ◽  
Risk Of Death ◽  
Hospitalised Patients ◽  
Increased Risk ◽  
History Of

ObjectiveHistory of cardiovascular diseases (CVDs) may influence the prognosis of patients hospitalised for COVID-19. We investigated whether patients with previous CVD have increased risk of death and major adverse cardiovascular event (MACE) when hospitalised for COVID-19.MethodsWe included 839 patients with COVID-19 hospitalised at the University Hospitals of Geneva. Demographic characteristics, medical history, laboratory values, ECG at admission and medications at admission were collected based on electronic medical records. The primary outcome was a composite of in-hospital mortality or MACE.ResultsMedian age was 67 years, 453 (54%) were males and 277 (33%) had history of CVD. In total, 152 (18%) died and 687 (82%) were discharged, including 72 (9%) who survived a MACE. Patients with previous CVD were more at risk of composite outcomes 141/277 (51%) compared with those without CVD 83/562 (15%) (OR=6.0 (95% CI 4.3 to 8.4), p<0.001). Multivariate analyses showed that history of CVD remained an independent risk factor of in-hospital death or MACE (OR=2.4; (95% CI 1.6 to 3.5)), as did age (OR for a 10-year increase=2.2 (95% CI 1.9 to 2.6)), male gender (OR=1.6 (95% CI 1.1 to 2.3)), chronic obstructive pulmonary disease (OR=2.1 (95% CI 1.0 to 4.2)) and lung infiltration associated with COVID-19 at CT scan (OR=1.9 (95% CI 1.2 to 3.0)). History of CVD (OR=2.9 (95% CI 1.7 to 5)), age (OR=2.5 (95% CI 2.0 to 3.2)), male gender (OR=1.6 (95% CI 0.98 to 2.6)) and elevated C reactive protein (CRP) levels on admission (OR for a 10 mg/L increase=1.1 (95% CI 1.1 to 1.2)) were independent risk factors for mortality.ConclusionHistory of CVD is associated with higher in-hospital mortality and MACE in hospitalised patients with COVID-19. Other factors associated with higher in-hospital mortality are older age, male sex and elevated CRP on admission.

scholarly journals High hemoglobin is associated with increased in-hospital death in patients with chronic obstructive pulmonary disease and chronic kidney disease: a retrospective multicenter population-based study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Libin Xu ◽  
◽  
Yuanhan Chen ◽  
Zhen Xie ◽  
Qiang He ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Hospital Mortality ◽  
Population Based ◽  
Hospital Death ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Risk Of Death ◽  
Increased Risk

Abstract Background Chronic kidney disease (CKD) is a common comorbidity of chronic obstructive pulmonary disease (COPD). Although high hemoglobin (Hb) is detrimental to CKD patients, its relationship with poor outcomes in the COPD population has not been reported. This study aimed to investigate the relationship between high Hb and in-hospital mortality and to explore reference Hb intervals in patients with COPD and CKD. Methods This retrospective study was multicenter population-based. A total of 47,209 patients who presented with COPD between January 2012 and December 2016 were included. The average Hb level during hospitalization was used as the Hb level. CKD and advanced CKD were defined as estimated glomerular filtration rates < 60 and < 30 ml/min/1.73 m2, respectively. The association between Hb level (measured in 1 g/dL intervals) and in-hospital mortality was analyzed in different multivariable logistic regression models by CKD stratification. Results The Hb level was decreased in the CKD subgroup. In the non-CKD group, a higher Hb level was not associated with an increased risk of in-hospital death. However, the Hb level and mortality showed a U-shaped relationship in the CKD group. After adjusting for age and Charlson Comorbidity Index, multivariable regression analysis showed that an Hb level > 17 g/dL was associated with an increased risk of death in the CKD group with an odds ratio (OR) of 2.085 (95% CI, 1.019–4.264). Hb > 14 g/dL was related to an increased risk of death in advanced CKD patients (OR, 4.579 (95% CI, 1.243–16.866)). Conclusions High Hb is associated with an increased risk of in-hospital death in COPD patients with CKD, especially among those with advanced CKD. In this group of patients, attention should be paid to those with high Hb levels.

scholarly journals COVID Outcome Prediction in the Emergency Department (COPE)

2021 ◽  
Author(s):  
David van Klaveren ◽  
Alexandros Rekkas ◽  
Jelmer Alsma ◽  
Rob JCG Verdonschot ◽  
Dick TJJ Koning ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Admission ◽  
Outcome Prediction ◽  
Model Performance ◽  
Hospital Death ◽  
Icu Admission ◽  
Risk Of Death ◽  
Increased Risk ◽  
Temporal Validation ◽  
Second Wave

ABSTRACTBackground and aimThe COVID-19 pandemic is putting extraordinary pressure on emergency departments (EDs). To support decision making about hospital admission, we aimed to develop a simple and valid model for predicting mortality and need for admission to an intensive care unit (ICU) in suspected-COVID-19 patients presenting at the ED.MethodsFor model development, we included patients that presented at the ED and were admitted to 4 large Dutch hospitals with suspected COVID-19 between March and August 2020, the first wave of the pandemic in the Netherlands. Based on prior literature we included patient characteristics, vital parameters and blood test values, all measured at ED admission, as potential predictors. Logistic regression analyses with post-hoc uniform shrinkage was used to obtain predicted probabilities of in-hospital death and of being admitted to the ICU, both within 28 days after admission. Model performance (AUC; calibration plots, intercepts and slopes) was assessed with temporal validation in patients who presented between September and December 2020 (second wave). We used multiple imputation to account for missing predictor values.ResultsThe development data included 5,831 patients who presented at the ED and were hospitalized, of whom 629 (10.8%) died and 5,070 (86.9%) were discharged within 28 days after admission. A simple model – named COVID Outcome Prediction in the Emergency Department (COPE) – with linear age and logarithmic transforms of respiratory rate, CRP, LDH, albumin and urea captured most of the ability to predict death within 28 days. Patients who were admitted in the first month of the pandemic had substantially increased risk of death (odds ratio 1.99; 95% CI 1.61-2.47). COPE was well-calibrated and showed good discrimination for predicting death in 3,252 patients of the second wave (AUC in 4 hospitals: 0.82; 0.82; 0.79; 0.83). COPE was also able to identify patients at high risk of needing IC in second wave patients below the age of 70 (AUC 0.84; 0.81), but overestimated ICU admission for low-risk patients. The models are implemented as a web-based application.ConclusionCOPE is a simple tool that is well able to predict mortality and ICU admission for patients who present to the ED with suspected COVID-19 and may help to inform patients and doctors when deciding on hospital admission.

scholarly journals Predictors of Hospital Mortality in Patients with Acute Coronary Syndrome Complicated by Cardiogenic Shock

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 969
Author(s):  
Gábor Tamás Szabó ◽  
András Ágoston ◽  
Gábor Csató ◽  
Ildikó Rácz ◽  
Tamás Bárány ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Hospital Mortality ◽  
Cardiogenic Shock ◽  
Hospital Admission ◽  
Left Ventricular ◽  
Hospital Death ◽  
Lv Function ◽  
Successful Resuscitation ◽  
Coronary Syndrome ◽  
Increased Risk

As demonstrated by earlier studies, pre-hospital triage with trans-telephonic electrocardiogram (TTECG) and direct referral for catheter therapy shows great value in the management of out-of-hospital chest pain emergencies. It does not only improve in-hospital mortality in ST-segment elevation myocardial infarction, but it has also been identified as an independent predictor of higher in-hospital survival rate. Since TTECG-facilitated triage shortens both transport time and percutaneous coronary intervention (PCI)-related procedural time intervals, it was hypothesized that even high-risk patients with acute coronary syndrome (ACS) and cardiogenic shock (CS) might also benefit from TTECG-based triage. Here, we decided to examine our database for new triage- and left ventricular (LV) function-related parameters that can influence in-hospital mortality in ACS complicated by CS. ACS patients were divided into two groups, namely, (1) hospital death patients (n = 77), and (2) hospital survivors (control, n = 210). Interestingly, TTECG-based consultation and triage of CS and ACS patients were confirmed as significant independent predictors of lower hospital mortality risk (odds ratio (OR) 0.40, confidence interval (CI) 0.21–0.76, p = 0.0049). Regarding LV function and blood chemistry, a good myocardial reperfusion after PCI (high area at risk (AAR) blush score/AAR LV segment number; OR 0.85, CI 0.78–0.98, p = 0.0178) and high glomerular filtration rate (GFR) value at the time of hospital admission (OR 0.97, CI 0.96–0.99, p = 0.0042) were the most crucial independent predictors of a decreased risk of in-hospital mortality in this model. At the same time, a prolonged time interval between symptom onset and hospital admission, successful resuscitation, and higher peak creatine kinase activity were the most important independent predictors for an increased risk of in-hospital mortality. In ACS patients with CS, (1) an early TTECG-based teleconsultation and triage, as well as (2) good myocardial perfusion after PCI and a high GFR value at the time of hospital admission, appear as major independent predictors of a lower in-hospital mortality rate.

scholarly journals Outcomes of major trauma among patients with chronic kidney disease and receiving dialysis in Nova Scotia: a retrospective analysis

2021 ◽  
Vol 6 (1) ◽  
pp. e000672
Author(s):  
Ryan Pratt ◽  
Mete Erdogan ◽  
Robert Green ◽  
David Clark ◽  
Amanda Vinson ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Nova Scotia ◽  
Kidney Disease ◽  
Hospital Mortality ◽  
Major Trauma ◽  
Injury Severity ◽  
Cox Regression ◽  
Trauma Patients ◽  
Risk Of Death ◽  
Increased Risk

BackgroundThe risk of death and complications after major trauma in patients with chronic kidney disease (CKD) is higher than in the general population, but whether this association holds true among Canadian trauma patients is unknown.ObjectivesTo characterize patients with CKD/receiving dialysis within a regional major trauma cohort and compare their outcomes with patients without CKD.MethodsAll major traumas requiring hospitalization between 2006 and 2017 were identified from a provincial trauma registry in Nova Scotia, Canada. Trauma patients with stage ≥3 CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2) or receiving dialysis were identified by cross-referencing two regional databases for nephrology clinics and dialysis treatments. The primary outcome was in-hospital mortality; secondary outcomes included hospital/intensive care unit (ICU) length of stay (LOS) and ventilator-days. Cox regression was used to adjust for the effects of patient characteristics on in-hospital mortality.ResultsIn total, 6237 trauma patients were identified, of whom 4997 lived within the regional nephrology catchment area. CKD/dialysis trauma patients (n=101; 28 on dialysis) were older than patients without CKD (n=4896), with higher rates of hypertension, diabetes, and cardiovascular disease, and had increased risk of in-hospital mortality (31% vs 11%, p<0.001). No differences were observed in injury severity, ICU LOS, or ventilator-days. After adjustment for age, sex, and injury severity, the HR for in-hospital mortality was 1.90 (95% CI 1.33 to 2.70) for CKD/dialysis compared with patients without CKD.ConclusionIndependent of injury severity, patients without CKD/dialysis have significantly increased risk of in-hospital mortality after major trauma.

Impact of cancer on emergency department outcomes.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18618-e18618
Author(s):  
Alexander S. Qian ◽  
Edmund M. Qiao ◽  
Vinit Nalawade ◽  
Rohith S. Voora ◽  
Nikhil V. Kotha ◽  
...  
Keyword(s):  
Emergency Department ◽  
Risk Stratification ◽  
Hospital Mortality ◽  
Hospital Admission ◽  
Cancer Patients ◽  
Metastatic Cancer ◽  
Inpatient Admission ◽  
Cancer Site ◽  
Patients With Cancer ◽  
Increased Risk

e18618 Background: Cancer patients frequently utilize the Emergency Department (ED) for a variety of diagnoses, both related and unrelated to their cancer. Patients with cancer have unique risks related to their cancer and treatment which could influence ED-related outcomes. A better understanding of these risks could help improve risk-stratification for these patients and help inform future interventions. This study sought to define the increased risks cancer patients face for inpatient admission and hospital mortality among cancer patients presenting to the ED. Methods: From the National Emergency Department Sample (NEDS) we identified patients with and without a diagnosis of cancer presenting to the ED between 2016 and 2018. We used International Classification of Diseases, version 10 (ICD10-CM) codes to identify patients with cancer, and to identify patient’s presenting diagnosis. Multivariable mixed-effects logistic regression models assessed the influence of cancer diagnoses on two endpoints: hospital admission from the ED, and inpatient hospital mortality. Results: There were 340 million weighted ED visits, of which 8.3 million (2.3%) occurred in patients with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). Factors associated with both an increased risk of hospitalization and death included older age, male gender, lower income level, discharge quarter, and receipt of care in a teaching hospital. We identified the top 15 most common presenting diagnoses among cancer patients, and among each of these diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2; all p < 0.05) and death (OR range 2.1-14.4; all p < 0.05) compared to non-cancer patients with the same diagnosis. Within the cancer patient cohort, cancer site was the most robust individual predictor associated with risk of hospitalization or death, with highest risk among patients with metastatic cancer, liver and lung cancers compared to the reference group of prostate cancer patients. Conclusions: Cancer patients presenting to the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions tailored to improve outcomes in the ED setting.

scholarly journals Impact on hospital mortality and morbidity of right ventricular involvement among patients with acute left ventricular infarction

2006 ◽  
Vol 124 (4) ◽  
pp. 186-191 ◽  
Author(s):  
Afonso Celso Pereira ◽  
Roberto Alexandre Franken ◽  
Sandra Regina Schwarzwälder Sprovieri ◽  
Valdir Golin
Keyword(s):  
Myocardial Infarction ◽  
Hospital Mortality ◽  
Right Ventricular ◽  
Left Ventricular ◽  
Hospital Death ◽  
Inferior Wall ◽  
Mortality And Morbidity ◽  
Killip Class ◽  
Increased Risk ◽  
The Impact

CONTEXT AND OBJECTIVE: There is uncertainty regarding the risk of major complications in patients with left ventricular (LV) infarction complicated by right ventricular (RV) involvement. The aim of this study was to evaluate the impact on hospital mortality and morbidity of right ventricular involvement among patients with acute left ventricular myocardial infarction. DESIGN AND SETTING: Prospective cohort study, at Emergency Care Unit of Hospital Central da Irmandade da Santa Casa de Misericórdia de São Paulo. METHODS: 183 patients with acute myocardial infarction participated in this study: 145 with LV infarction alone and 38 with both LV and RV infarction. The presence of complications and hospital death were compared between groups. RESULTS: 21% of the patients studied had LV + RV infarction. In this group, involvement of the dorsal and/or inferior wall was predominant on electrocardiogram (p < 0.0001). The frequencies of Killip class IV upon admission and 24 hours later were greater in the LV + RV group, along with electrical and hemodynamic complications, among others, and death. The probability of complications among the LV + RV patients was 9.7 times greater (odds ratio, OR = 9.7468; 95% confidence interval, CI: 2.8673 to 33.1325; p < 0.0001) and probability of death was 5.1 times greater (OR = 5.13; 95% CI: 2.2795 to 11.5510; p = 0.0001), in relation to patients with LV infarction alone. CONCLUSIONS: Patients with LV infarction with RV involvement present increased risk of early morbidity and mortality.

Sex differences of resource utilisation and outcomes in patients with atrial arrhythmias and heart failure

Heart ◽  
2019 ◽  
Vol 106 (7) ◽  
pp. 527-533 ◽  
Author(s):  
Laura Ueberham ◽  
Sebastian König ◽  
Sven Hohenstein ◽  
Rene Mueller-Roething ◽  
Michael Wiedemann ◽  
...  
Keyword(s):  
Heart Failure ◽  
Sex Differences ◽  
Hospital Mortality ◽  
Linear Mixed Model ◽  
Adverse Outcomes ◽  
Resource Utilisation ◽  
Hospital Outcomes ◽  
Risk Of Death ◽  
Increased Risk ◽  
Generalised Linear Mixed Model

ObjectiveAtrial fibrillation or atrial flutter (AF) and heart failure (HF) often go hand in hand and, in combination, lead to an increased risk of death compared with patients with just one of both entities. Sex-specific differences in patients with AF and HF are under-reported. Therefore, the aim of this study was to investigate sex-specific catheter ablation (CA) use and acute in-hospital outcomes in patients with AF and concomitant HF in a retrospective cohort study.MethodsUsing International Statistical Classification of Diseases and Related Health Problems and Operations and Procedures codes, administrative data of 75 hospitals from 2010 to 2018 were analysed to identify cases with AF and HF. Sex differences were compared for baseline characteristics, right and left atrial CA use, procedure-related adverse outcomes and in-hospital mortality.ResultsOf 54 645 analysed cases with AF and HF, 46.2% were women. Women were significantly older (75.4±9.5 vs 68.7±11.1 years, p<0.001), had different comorbidities (more frequently: cerebrovascular disease (2.4% vs 1.8%, p<0.001), dementia (5.3% vs 2.2%, p<0.001), rheumatic disease (2.1% vs 0.8%, p<0.001), diabetes with chronic complications (9.7% vs 9.1%, p=0.033), hemiplegia or paraplegia (1.7% vs 1.2%, p<0.001) and chronic kidney disease (43.7% vs 33.5%, p<0.001); less frequently: myocardial infarction (5.4% vs 10.5%, p<0.001), peripheral vascular disease (6.9% vs 11.3%, p<0.001), mild liver disease (2.0% vs 2.3%, p=0.003) or any malignancy (1.0% vs 1.3%, p<0.001), underwent less often CA (12.0% vs 20.7%, p<0.001), had longer hospitalisations (6.6±5.8 vs 5.2±5.2 days, p<0.001) and higher in-hospital mortality (1.6% vs 0.9%, p<0.001). However, in the multivariable generalised linear mixed model for in-hospital mortality, sex did not remain an independent predictor (OR 0.96, 95% CI 0.82 to 1.12, p=0.579) when adjusted for age and comorbidities. Vascular access complications requiring interventions (4.8% vs 4.2%, p=0.001) and cardiac tamponade (0.3% vs 0.1%, p<0.001) occurred more frequently in women, whereas stroke (0.6% vs 0.5%, p=0.179) and death (0.3% vs 0.1%, p=0.101) showed no sex difference in patients undergoing CA.ConclusionsThere are sex differences in patients with AF and HF with respect to demographics, resource utilisation and in-hospital outcomes. This needs to be considered when treating women with AF and HF, especially for a sufficient patient informed decision making in clinical practice.

scholarly journals Association of Proteinuria and Hematuria with Acute Kidney Injury and Mortality in Hospitalized Patients with COVID-19

2020 ◽  
Vol 45 (6) ◽  
pp. 1018-1032
Author(s):  
Imran Chaudhri ◽  
Richard Moffitt ◽  
Erin Taub ◽  
Raji R. Annadi ◽  
Minh Hoai ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Invasive Mechanical Ventilation ◽  
Multivariable Analysis ◽  
Kidney Injury ◽  
Hospitalized Patients ◽  
Hospital Death ◽  
Study Cohort ◽  
Icu Admission ◽  
Risk Of Death ◽  
Increased Risk

<b><i>Introduction:</i></b> Acute kidney injury (AKI) is strongly associated with poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19), but data on the association of proteinuria and hematuria are limited to non-US populations. In addition, admission and in-hospital measures for kidney abnormalities have not been studied separately. <b><i>Methods:</i></b> This retrospective cohort study aimed to analyze these associations in 321 patients sequentially admitted between March 7, 2020 and April 1, 2020 at Stony Brook University Medical Center, New York. We investigated the association of proteinuria, hematuria, and AKI with outcomes of inflammation, intensive care unit (ICU) admission, invasive mechanical ventilation (IMV), and in-hospital death. We used ANOVA, <i>t</i> test, χ<sup>2</sup> test, and Fisher’s exact test for bivariate analyses and logistic regression for multivariable analysis. <b><i>Results:</i></b> Three hundred patients met the inclusion criteria for the study cohort. Multivariable analysis demonstrated that admission proteinuria was significantly associated with risk of in-hospital AKI (OR 4.71, 95% CI 1.28–17.38), while admission hematuria was associated with ICU admission (OR 4.56, 95% CI 1.12–18.64), IMV (OR 8.79, 95% CI 2.08–37.00), and death (OR 18.03, 95% CI 2.84–114.57). During hospitalization, de novo proteinuria was significantly associated with increased risk of death (OR 8.94, 95% CI 1.19–114.4, <i>p</i> = 0.04). In-hospital AKI increased (OR 27.14, 95% CI 4.44–240.17) while recovery from in-hospital AKI decreased the risk of death (OR 0.001, 95% CI 0.001–0.06). <b><i>Conclusion:</i></b> Proteinuria and hematuria both at the time of admission and during hospitalization are associated with adverse clinical outcomes in hospitalized patients with COVID-19.

scholarly journals Sodium Fluctuations and Mortality in a General Hospitalized Population

2019 ◽  
Vol 44 (4) ◽  
pp. 604-614 ◽  
Author(s):  
Gianmarco Lombardi ◽  
Pietro Manuel Ferraro ◽  
Luca Calvaruso ◽  
Alessandro Naticchia ◽  
Silvia D’Alonzo ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Hospital Admission ◽  
Hospital Stay ◽  
Proportional Hazards ◽  
Medical Center ◽  
Cerebrovascular Diseases ◽  
Linear Increase ◽  
Cox Proportional Hazards ◽  
Hospital Death ◽  
Cox Proportional Hazards Models

Background/Aims: Aim of our study was to describe the association between natremia (Na) fluctuation and hospital mortality in a general population admitted to a tertiary medical center. Methods: We performed a retrospective observational cohort study on the patient population admitted to the Fondazione Policlinico A. Gemelli IRCCS Hospital between January 2010 and December 2014 with inclusion of adult patients with at least 2 Na values available and with a normonatremic condition at hospital admission. Patients were categorized according to all Na values recorded during hospital stay in the following groups: normonatremia, hyponatremia, hypernatremia, and mixed dysnatremia. The difference between the highest or the lowest Na value reached during hospital stay and the Na value read at hospital admission was used to identify the maximum Na fluctuation. Cox proportional hazards models were used to estimate hazard ratios (HRs) for in-hospital death in the groups with dysnatremias and across quartiles of Na fluctuation. Covariates assessed were age, sex, highest and lowest Na level, Charlson/Deyo score, cardiovascular diseases, cerebrovascular diseases, dementia, congestive heart failure, severe kidney disease, estimated glomerular filtration rate, and number of Na measurements during hospital stay. Results: 46,634 admissions matched inclusion criteria. Incident dysnatremia was independently associated with in-hospital mortality (hyponatremia: HR 3.11, 95% CI 2.53, 3.84, p < 0.001; hypernatremia: HR 5.12, 95% CI 3.94, 6.65, p < 0.001; mixed-dysnatremia: HR 4.94, 95% CI 3.08, 7.92, p < 0.001). We found a higher risk of in-hospital death by linear increase of quartile of Na fluctuation (p trend <0.001) irrespective of severity of dysnatremia (HR 2.34, 95% CI 1.55, 3.54, p < 0.001, for the highest quartile of Na fluctuation compared with the lowest). Conclusions: Incident dysnatremia is associated with higher hospital mortality. Fluctuation of Na during hospital stay is a prognostic marker for hospital death independent of dysnatremia severity.

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