Economic impact of hyponatremia in hospitalized patients with cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 17053-17053
Author(s):  
M. A. Callahan ◽  
H. T. Do ◽  
D. W. Caplan ◽  
K. Yoon-Flannery ◽  
R. Seifeldin
Keyword(s):  
Hospital Mortality ◽  
Cancer Patients ◽  
Admission Rate ◽  
Cost Of Care ◽  
Hospital Length Of Stay ◽  
Controlled Study ◽  
Severe Hyponatremia ◽  
Accounting Data ◽  
Risk Of Death ◽  
Control Subjects

17053 Background: Hyponatremia, defined as a serum sodium concentration ([Na+]) =134 mEq/L, is a common electrolyte abnormality in hospitalized cancer patients that may be caused by the primary tumor or metastasis, diagnostic or therapeutic interventions, or a secondary complication. Hospital-acquired hyponatremia is associated with higher costs of care, but many patients present with hyponatremia at admission. Methods: This retrospective case-controlled study assessed the outcomes and cost of care among patients hospitalized for neoplasm who presented with hyponatremia at admission. Laboratory and cost-accounting data from 841 adult patients admitted to an 811-bed university hospital between January 2004 and May 2005 with a principal diagnosis of neoplasm and either mild-to- moderate or moderate-to-severe hyponatremia (serum [Na+] 130–134 mEq/L or <130 mEq/L, respectively) were compared with data from control subjects with matching ICD-9 codes and normal serum [Na+] (135–145 mEq/L) at admission during the same period. Endpoints included hospital length of stay (LOS), ICU admissions, in-hospital mortality, and total costs per admission. Results: Hyponatremia was evident in 18.9% of patients admitted for neoplasm. Patients with moderate-to-severe hyponatremia (n=192) and mild-to- moderate hyponatremia (n=649) demonstrated a significantly longer hospital LOS, higher ICU admission rate, higher in-hospital mortality, and higher median costs than control subjects (n=3610) (Table). These differences among groups remained significant after adjustments were made for age, race, sex, and comorbidity score. Conclusions: Cancer patients presenting with hyponatremia at admission have a longer hospital LOS and higher risk of death and cost of care than do cancer patients presenting without hyponatremia. [Table: see text] No significant financial relationships to disclose.

160 The Impact of the Dependent Coverage Provision on Neurosurgical Population

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 240-240
Author(s):  
Matthew Decker ◽  
John David Mayfield ◽  
Paul Kubilis ◽  
Maryam Rahman
Keyword(s):  
Hospital Mortality ◽  
Age Groups ◽  
Primary Diagnosis ◽  
Cost Of Care ◽  
Hospital Length Of Stay ◽  
Control Cohort ◽  
Neurosurgical Patients ◽  
Comorbidity Index ◽  
Dependent Coverage ◽  
The Impact

Abstract INTRODUCTION The Dependent Coverage Provision (DCP), a provision of the Patient Protection and Affordable Care Act (ACA), enables dependents aged 19 25 to remain on parental insurance without restrictions. This increased access to health insurance for the population with the highest uninsured rate. Its impact has not been studied in neurosurgical population where the cost of care is disproportional based on insurance status. METHODS A National Inpatient Sampling database query was performed comparing an experimental (ages 19–25) and a control cohort (ages 27–33) and metrics before (January 2007 March 2009) and after DCP implementation (October 2011 December 2014). Those with a primary diagnosis of traumatic brain injury (TBI), ischemic or hemorrhagic stroke (Stroke) or primary brain tumor (Tumor) had the following metrics obtained: uninsured rate, comorbidity index, hospital length of stay (LOS), in-hospital mortality rates, and disposition status home. A difference-in-difference analysis was performed comparing the cohorts to assess direct effects of DCP. RESULTS >There was a significant decrease in the uninsured rate for TBI (p <.0001) and Stroke (p = .0019) patients but not for Tumor (p = .6663) patients after implementation of the DCP. There was no significant change in the comorbidity index, LOS, or in-hospital mortality for any diagnosis over the study period. An improvement occurred in these metrics in both age groups, however, the differences were insignificant. Lastly, there was an increase for the TBI control cohort to be discharged home (p = .0288) that was not observed elsewhere. CONCLUSION The DCP did decrease the uninsured rate in most neurosurgical patients. Other quality metrics were not different between the pre-DCP and post-DCP cohorts although both groups showed improvement in these metrics over time. The impact of the ACA on quality of care for neurosurgical patients should be further investigated.

The burden of hyponatremia and hypercalcemia on hospitalizations and mortality in lung cancer patients in the United States: An analysis of nationwide inpatient database.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18256-e18256 ◽  
Author(s):  
Sukriti Kamboj ◽  
Varun Kumar ◽  
Stephen Mazurkivich ◽  
Warren Acker
Keyword(s):  
Lung Cancer ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Tobacco Consumption ◽  
The United States ◽  
Relative Increase ◽  
Cost Of Care ◽  
Lung Cancer Patients ◽  
Hospital Stays ◽  
Relative Decline

e18256 Background: In 2018, there were over 234,030 patients diagnosed with lung cancer in the US with over 154,050 deaths. While the incidence continues to fall (mostly due to reduced tobacco consumption ), the mortality continues to be high with an overall median five year survival rate of only 19%. It is important to identify factors which are associated with worse outcomes in these patients. We aim to note the trends in patients hospitalized with lung cancer who have hyponatremia and hypercalcemia. Methods: We used the Nationwide Inpatient Sample (2002-2013) to identify lung cancer hospitalizations with hyponatremia and hypercalcemia. We analyzed trends in incidence, in-hospital mortality, length of stay (LOS) and cost. We calculated adjusted odds ratios (aOR) for outcomes including in-hospital mortality. Results: A total of 1,404,228 patients were studied with lung cancer were hospitalized from 2005-2014. A number of admissions has been progressively declining from 159,568 in 2005 to 123,305 in 2014 with a relative decline of 21.8%. The overall incidence of hyponatremia in these patients was 8.62%, and it has been trending up from 6.79% to 10.48% (p < 0.001) from 2005-2014 with a relative increase of 57%. Hypercalcemia was reported in 2.59 % of patients admitted with lung cancer. The number of hospitalizations in lung cancer patients with hypercalcemia has increased from 2.19% to 3.17% (p < 0.001) with a relative increase of 49.3%. Hospitalizations for hyponatremia and hypercalcemia were more frequent in age 50-64 years, males and smokers. Lung cancer patients with hyponatremia have in-hospital mortality of 12.9 % (OR 1.43, p < 0.001). Patients who have hypercalcemia have in hospital mortality of 17.1%( OR 1.15, p < 0.001). Conclusions: This study studies trends in hospitalizations in patient with lung cancer and incidence of hyponatremia and hypercalcemia. It is noted that hyponatremia and hypercalcemia are associated with increase the risk of in hospital mortality and increase cost of care in lung cancer patients. Utilization of these findings in guiding management may lead to decreased hospitalizations, hospital stays, and improve outcomes for these patients.

Comparing characteristics and outcomes of cancer to non-cancer patients admitted to general internal medicine (GIM).

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 21-21
Author(s):  
Lawson Eng ◽  
Amol A Verma ◽  
Saeha Shin ◽  
Afsaneh Raissi ◽  
Alejandro Berlin ◽  
...  
Keyword(s):  
Cancer Patient ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Administrative Data ◽  
Interventional Procedures ◽  
Care Delivery ◽  
Admission Rate ◽  
Patient Discharge ◽  
Tract Infections ◽  
To Receive

21 Background: Cancer prevalence is rising and there is a corresponding increase in hospitalizations across the cancer continuum. However, little is known about the patterns of care and outcomes of cancer inpatients as administrative data may not capture in-hospital details including investigations and medications required for characterization. Understanding how cancer inpatients are managed and their outcomes can help to optimize care delivery. Methods: We conducted a multicenter study of all patients admitted to GIM at seven hospitals (Toronto, Canada) from 2010 to 2017 where we deterministically linked administrative data with each hospital’s electronic information (pharmacy, orders, notes, laboratory/imaging and results) at the patient level. Multivariable regression models compared characteristics and outcomes between cancer and non-cancer patients for the top 5 non-cancer patient discharge diagnoses. Results: Among 230,040 hospitalizations, 15% had cancer listed as an ICD-10 comorbidity. The most common cancer disease sites were gastrointestinal (20%), lung (13%) and leukemia (11%). The most common discharge diagnoses for cancer patients were disease progression (9%), palliative care (6%), pneumonia (4%), leukemia (4%) and lung cancer (4%), while for non-cancer patients were: heart failure (5%), pneumonia (5%), stroke (5%), COPD (5%) and urinary tract infections (5%). In general, compared to non-cancer patients, cancer patients were younger (70 vs 72), had greater length of stay (LOS; 6.4 vs 4.6 days), in-hospital mortality (16% vs 5%), ICU use (12% vs 11%), 30 day re-admission rate (17% vs 10%) and were more likely to receive CTs (64% vs 52%), MRIs (14% vs 12%) and interventional procedures (22% vs 8%) (p < 0.001, all comparisons). When evaluating the top 5 non-cancer patient discharge diagnoses, results (adjusted for age, gender, Charlson comorbidity score and hospital) were similar wherein cancer patients had a higher in-hospital mortality (aOR = 2.02 p < 0.001), 30 day re-admission rate (aOR = 1.09 p = 0.08) and were more likely to receive CTs (aOR = 1.88 p < 0.001), MRIs (aOR = 1.66 p < 0.001) or interventional procedures (aOR = 1.78 p < 0.001), despite similar mean LOS (5.7 vs 5.1 days p = 0.35). Results were similar across discharge diagnoses. Conclusions: Cancer patients represent a unique population on GIM and have higher resource use, mortality and LOS compared to non-cancer patients, with similar trends even for the same non-cancer diagnoses. Specialized models of care for hospitalized cancer patients may be warranted.

scholarly journals MP37: Emergency department boarding of admitted oncology patients receiving chemotherapy

CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S55-S56
Author(s):  
K. Grewal ◽  
S. McLeod ◽  
R. Sutradhar ◽  
M. Krzyzanowska ◽  
B. Borgundvaag ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Mortality ◽  
Hospital Admission ◽  
Cancer Patients ◽  
Hospital Length ◽  
Primary Objective ◽  
Adverse Outcomes ◽  
Hospital Length Of Stay ◽  
Administrative Databases ◽  
Ed Crowding

Introduction: Emergency department (ED) boarding is associated with worse outcomes for critically ill patients. There have been mixed findings in other patient populations. The primary objective of this study was to examine predictors of prolonged ED boarding among cancer patients receiving chemotherapy who required hospital admission from the ED. Secondary objectives were to examine the association between prolonged ED boarding and in-hospital mortality, 30-day mortality, and hospital length of stay (LOS). Methods: Using administrative databases from Ontario, we identified adult (≥ 18 years) cancer patients who received chemotherapy within 30 days prior to a hospital admission from the ED between 2013 to 2017. ED boarding time was calculated as the time from the decision to admit the patient to when the patient physically left the ED. Prolonged ED boarding was defined as ≥ 8 hours. Multivariable logistic regression was used to examine predictors of prolonged ED boarding and to determine if prolonged boarding was associated with mortality. Multivariable quantile regression was used to determine the association between prolonged boarding and hospital LOS. Results: 45,879 patients were included in the study. Median (interquartile range (IQR)) ED LOS of stay was 11.8 (7.0, 21.7) hours and median (IQR) ED boarding time was 4.2 (1.6, 14.2) hours. 17,053 (37.2%) patients had prolonged ED boarding. Severe ED crowding was the strongest predictor of prolonged ED boarding (odds ratio: 17.7, 95% CI: 15.0 to 20.9). Prolonged ED boarding was not associated with in-hospital mortality or 30-day mortality. Median hospital LOS was over 9 hours (p <0.0001) longer among patients with the longest ED boarding times. Conclusion: Severe ED crowding was associated with a significant increase in the odds of prolonged ED boarding. While our study demonstrated that prolonged boarding was not associated with increased mortality, further work is required to understand if ED boarding is associated with other adverse outcomes in this immunocompromised population.

scholarly journals Predicting Factors of Clinical Outcomes in Traumatized Adults and Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 597-597
Author(s):  
Pornthip Suyasith ◽  
Prangtip Chayaput ◽  
Orapan Thosingha ◽  
Suzanne G Leveille ◽  
Jatuporn Sirikun
Keyword(s):  
Older Adults ◽  
Hospital Mortality ◽  
Clinical Data ◽  
Road Traffic ◽  
Hospital Length Of Stay ◽  
Early Warning Score ◽  
Trauma Patients ◽  
Close Monitoring ◽  
Risk Of Death ◽  
Severity Of Injury

Abstract To investigate factors predicting hospital mortality and hospital length of stay (LOS) in traumatized adults and older adults, we conducted a three-year retrospective study at an academic hospital, Bangkok, Thailand. We reviewed medical records of 627 trauma patients admitted to the ED. Subjects were classified into 2 groups: adults (⃞55y), and older adults (□55y). Data were collected for demographic and clinical characteristics, physiologic deterioration using the Modified Early Warning Score (MEWS), severity of injury using the Circulation Respiration Abdomen Motor and Speech Score (CRAMS), and outcomes of hospital mortality and LOS. Multivariable logistic and linear regression models were performed. For hospital mortality, an elevated MEWS (Older adults [n= 267]: MEWS≥3, OR=4.80, 95%CI, 1.02-22.56 vs Adults [n = 360]: MEWS≥4, OR=11.63, 95%CI, 1.94-69.82) and CRAMS (Older adults: CRAMS≤9, OR=19.21, 95%CI, 2.78-132.98 vs Adults: CRAMS≤6, OR=18.58, 95%CI, 3.40-101.65) were strongly predictive, adjusted for demographic and clinical data. For LOS, road traffic accident (RTA) (Older adults: β=0.80, 95%CI, 0.31-1.29, p &lt; .01 vs Adults: β=0.44, 95%CI, 0.21-0.67, p &lt; .001) and falls (Older adults: β=0.88, 95%CI, 0.44-1.32, p &lt; .001 vs Adults: β=0.33, 95%CI, 0.02-0.65, p &lt; .05) were associated with LOS, adjusted for demographic and clinical data. MEWS and CRAMS predicted hospital mortality, and RTA and falls predicted LOS in both age groups. Results support the need for interventions for close monitoring and medical management for older traumatized patients based on CRAMS and MEWS assessment to decrease the risk of death, and targeting those sustaining falls and RTA to reduce prolonged LOS.

Predictors of survival in patients with gastrointestinal malignancies admitted to the intensive care unit.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18050-e18050
Author(s):  
Heidi Chwan Ko ◽  
Melissa Yan ◽  
Rohan Gupta ◽  
Juhee Song ◽  
Kayla Kebbel ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Sofa Score ◽  
Icu Mortality ◽  
Gastrointestinal Malignancies ◽  
Icu Admission ◽  
Risk Of Death ◽  
Gi Cancer

e18050 Background: Cancer patients have a high use of healthcare utilization at the end of life which can frequently involve admissions to the intensive care unit (ICU). We sought to evaluate the predictors for outcome in gastrointestinal (GI) cancer patients admitted to the ICU for non-surgical conditions. Methods: The objective of this study was to determine the factors associated with ICU mortality, hospital mortality and overall survival (OS). A total of 200 patients with GI cancer admitted to the ICU at The University of Texas MD Anderson Cancer Center between November 2012 and February 2015 were retrospectively analyzed. Cancer characteristics, treatment characteristics, and Sequential Organ Failure Assessment (SOFA) scores defining severity based on 6 organ systems with scores ranging from 0 to 24 were analyzed for their effects on survival endpoints using multivariate logistic regression models and a multivariate Cox proportional hazards regression model. Results: The characteristics of the 200 patients were: 64.5% male, mean age of 60 years, median admission SOFA score of 6.0, and tumor types of primary intestinal (37.5%), hepatobiliary/pancreatic (36%), and gastroesophageal (GE) (24%). The ICU mortality was 26%, hospital mortality was 41%, and 6-month OS estimate was 25%. In multivariate analysis, ICU admission SOFA score > 10 (odds ratio (OR) 17.1, p < 0.0001), poorly differentiated tumor grade (OR 3.2, p = 0.02), and shorter duration of metastatic disease (OR 2.3, p = 0.07) were associated with increased odds of ICU mortality. These same variables were associated with increased odds of hospital mortality. In multivariate OS analysis, SOFA score 6-10 (hazard ratio (HR) 2.1, p = 0.0006) and SOFA score > 10 (HR 4.4, p < 0.0001), patients with GE primary (HR 2.2, p = 0.002) and patients with a poor outpatient performance status that precluded active chemotherapy (HR 2.2, p = 0.01) were associated with increased risk of death. Conclusions: The SOFA score was the most predictive factor for ICU mortality, hospital mortality, and OS for GI cancer patients admitted to the ICU. It should be utilized in all GI cancer patients upon ICU admission to improve both acute and longer-term prognostication.

EFFECTS OF SMOKING ON THE DISEASE PROGNOSIS IN CANCER PATIENTS

2019 ◽  
Vol 65 (3) ◽  
pp. 321-329
Author(s):  
David Zaridze ◽  
Anush Mukeriya
Keyword(s):  
Smoking Cessation ◽  
Cancer Patients ◽  
Malignant Tumors ◽  
Scientific Data ◽  
Second Primary ◽  
Primary Tumors ◽  
Smoking Intensity ◽  
Risk Of Death ◽  
Disease Prognosis ◽  
Increased Risk

Smoking not only increases the risk of the development of malignant tumors (MT), but affects the disease prognosis, mortality and survivability of cancer patients. The link between the smoking of cancer patients and increased risk of death by all diseases and oncological causes has been established. Mortality increases with the growth of the smoking intensity, i.e. the number of cigarettes, smoked per day. Smoking is associated with the worst general and oncological survivability. The statistically trend-line between the smoking intensity and survivability was observed: each additional unit of cigarette consumption (pack/year) leads to the Overall Survival Reduction by 1% (p = 0.002). The link between smoking and the risk of developing second primary tumors has been confirmed. Smoking increases the likelihood of side effects of the antitumor therapy both drug therapy and radiation therapy and reduces the treatment efficacy. The smoking cessation leads to a significant improvement in the prognosis of a cancer patient. Scientific data on the negative effect of smoking on the prognosis of cancer patients have a major clinical importance. The treatment program for cancer patients should include science-based methods for the smoking cessation. The latter is fundamentally important, taking into account that the smoking frequency among cancer patients is much higher than in the population.

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 Candida infective endocarditis: A retrospective study of patient characteristics and risk factors for death in 703 U.S. cases, 2015-2019

2020 ◽  
Author(s):  
Jonathan P Huggins ◽  
Samuel Hohmann ◽  
Michael Z David
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Liver Failure ◽  
Patient Characteristics ◽  
Medication Administration ◽  
Small Sample ◽  
Risk Of Death ◽  
Opiate Abuse ◽  
Small Sample Sizes ◽  
Valve Pathology

Abstract Background Candida endocarditis is a rare, sometimes fatal complication of candidemia. Past investigations of this condition are limited by small sample sizes. We used the Vizient clinical database to report on characteristics of patients with Candida endocarditis and to examine risk factors for in-hospital mortality. Methods This was a multicenter, retrospective cohort study of 703 inpatients admitted to 179 United States hospitals between October 2015 and April 2019. We reviewed demographic, diagnostic, medication administration, and procedural data from each patient’s initial encounter. Univariate and multivariate logistic regression analyses were used to identify predictors of in-hospital mortality. Results Of 703 patients, 114 (16.2%) died during the index encounter. One hundred and fifty-eight (22.5%) underwent an intervention on a cardiac valve. On multivariate analysis, acute and subacute liver failure was the strongest predictor of death (OR 9.2, 95% CI 4.8 –17.7). Female sex (OR 1.9, 95% CI 1.2 – 3.0), transfer from an outside medical facility (OR 1.8, 95% CI 1.1 – 2.8), aortic valve pathology (OR 2.7, 95% CI 1.5 – 4.9), hemodialysis (OR 2.1, 95% CI 1.1 – 4.0), cerebrovascular disease (OR 2.2, 95% CI 1.2 – 3.8), neutropenia (OR 2.5, 95% CI 1.3 – 4.8), and alcohol abuse (OR 2.9, 95% CI 1.3 – 6.7) were also associated with death on adjusted analysis, whereas opiate abuse was associated with a lower odds of death (OR 0.5, 95% CI 0.2 – 0.9). Conclusions We found that the inpatient mortality rate was 16.2% among patients with Candida endocarditis. Acute and subacute liver failure was associated with a high risk of death while opiate abuse was associated with a lower risk of death.

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