Abstract 16202: Changes in Hemoglobin After Pulmonary Artery Catheterization: Results From the ESCAPE Trial

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Abdulla Damluji ◽  
Conrad Macon ◽  
Mohammed Al-Damluji ◽  
Arieh Fox ◽  
George R Marzouka ◽  
...  
Keyword(s):  
Pulmonary Artery ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Evaluation Study ◽  
Cardiac Transplant ◽  
Pulmonary Artery Catheterization ◽  
Escape Trial ◽  
Cox Regression Analysis ◽  
Risk Of Mortality ◽  
Increased Risk

Introduction: We sought to investigate the association between hemoglobin (Hgb) changes in patients with ADHF (with and without PACs) to mortality and clinical outcomes. Methods: We examined 433 patients enrolled in the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) trial. Change of Hgb (g/dL) was defined as at least 1 (g/dL) drop by hospital discharge. Quartiles of % change of Hgb (g/dL) were calculated. We used multivariable Cox regression analysis to evaluate the effect Hgb change on mortality and composite end points of death, cardiac re-hospitalization, or cardiac transplant. Results: Of the 433 patients, 324 (75%) had baseline and discharge Hgb available for analysis. Of those, 64 (20%) had at least 1 (g/dL) drop of Hgb by time of discharge. Patients in the Hgb drop group were older than those without Hgb changes (59 vs. 55, p = 0.011). There were no baseline differences in gender, race, and etiology of HF between groups. Compared to patients without Hgb changes, patients with Hgb drop had lower systolic BP (99 vs. 106, p = 0.017), lower sodium (136 vs. 137, p =0.025), higher BUN (37 vs. 26, p <0.001), and higher Creatinine (1.6 vs. 1.3, p <0.001), respectively. Higher Hgb drop was observed in the PACs (vs. no PACs) randomized arm of the trial (2 g/dL: PACs 10% versus 3%, p =0.010; 3 g/dL: PACs 5% versus 0%, p =0.005). After adjustments, higher in-hospital Hgb was associated with lower mortality (HR 0.79, p =0.003). In addition, patients in the Hgb drop group had increased risk of mortality (Adjusted HR 2.38, p =0.003) and composite endpoints (Adjusted HR 1.43, p =0.055). PACs insertion was not associated with adverse clinical outcomes by quartiles of % change of hemoglobin (Mortality: Q1: HR 0.80, p 0.601, Q2 HR 0.79, p = 0.706, Q3 HR 0.34, p =0.101, Q4 HR 2.23, p =0.357). Conclusion: In-hospital decrease in Hgb is independently associated with increased long-term mortality and adverse cardiovascular events in severe HF. The ideal Hgb levels in ADHF patients should be investigated and the insertion of PACs to direct therapy should be weighed against bleeding risks.

scholarly journals Comparison of the effects of primary somatostatin analogue therapy and pituitary adenomectomy on survival in patients with acromegaly: a retrospective cohort study

2013 ◽  
Vol 169 (3) ◽  
pp. 367-376 ◽  
Author(s):  
Fausto Bogazzi ◽  
Annamaria Colao ◽  
Giuseppe Rossi ◽  
Martina Lombardi ◽  
Claudio Urbani ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Mortality Rate ◽  
Cox Regression ◽  
Diabetic Patients ◽  
Somatostatin Analogue ◽  
Primary Therapy ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Risk Of Mortality ◽  
Increased Risk

ObjectiveAcromegalic patients have an increased risk of mortality. The objective of this study was to compare the effect of different therapies for acromegaly on mortality.Design and methodsThe mortality rate of 438 consecutive acromegalic patients was compared with that of the general population using the standardized mortality ratio (SMR); the effect of different therapies on survival was evaluated using Cox regression analysis.ResultsTwenty patients (4.5%) died between 1999 and 2009. Age- and sex-adjusted SMR was 0.70 (95% CI 0.43–1.08). The Cox regression analysis revealed that, in the whole population, both general risk factors (age and physical status) and specific factors for acromegaly (macroadenoma, hypopituitarism and uncontrolled disease) were associated with death. The most compromised patients at diagnosis had a higher mortality rate (P=0.001), which also occurred in patients with controlled acromegaly. Death occurred in 2.4% (adenomectomy), 2.6% (adenomectomy followed by somatostatin analogue (SSA) therapy) and 11.4% (SSA therapy as the primary therapy) of the patients. The risk of death was higher in patients receiving SSA therapy as the primary therapy (hazard ratio (HR) 5.52, 95% CI 1.06–28.77,P=0.043) than in all patients submitted to adenomectomy; however, a higher risk of death occurred only in diabetic patients treated with SSAs alone (HR 21.94, 95% CI 1.56–309.04,P=0.022). Radiotherapy was associated with an increased risk of mortality, which occurred in patients with the more locally advanced disease.ConclusionsTherapies for acromegaly and comorbidities have lowered the risk of mortality to the level of the general population; the effect of SSA therapy alone or that following pituitary adenomectomy was comparable to that of curative neurosurgery on survival in non-diabetic patients; on the contrary, SSA therapy as the primary therapy may be less effective than adenomectomy in reducing mortality rate in diabetic patients.

scholarly journals Hyperkalemia excursions are associated with an increased risk of mortality and hospitalizations in hemodialysis patients

2020 ◽  
Author(s):  
Angelo Karaboyas ◽  
Bruce M Robinson ◽  
Glen James ◽  
Katarina Hedman ◽  
Carol P Moreno Quinn ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Cox Regression ◽  
Target Range ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Using Data ◽  
Dialysis Outcomes ◽  
Mortality Hazard Ratio ◽  
New Strategies

Abstract Background Hyperkalemia is common among hemodialysis (HD) patients and has been associated with adverse clinical outcomes. Previous studies considered a single serum potassium (K) measurement or time-averaged values, but serum K excursions out of the target range may be more reflective of true hyperkalemia events. We assessed whether hyperkalemia excursions lead to an elevated risk of adverse clinical outcomes. Methods Using data from 21 countries in Phases 4–6 (2009–18) of the Dialysis Outcomes and Practice Patterns Study (DOPPS), we investigated the associations between peak serum K level, measured monthly predialysis, over a 4-month period (‘peak K’) and clinical outcomes over the subsequent 4 months using Cox regression, adjusted for potential confounders. Results The analysis included 62 070 patients contributing a median of 3 (interquartile range 2–6) 4-month periods. The prevalence of hyperkalemia based on peak K was 58% for &gt;5.0, 30% for &gt;5.5 and 12% for &gt;6.0 mEq/L. The all-cause mortality hazard ratio for peak K (reference ≤5.0 mEq/L) was 1.15 [95% confidence interval (CI) 1.09, 1.21] for 5.1–5.5 mEq/L, 1.19 (1.12, 1.26) for 5.6–6.0 mEq/L and 1.33 (1.23, 1.43) for &gt;6.0 mEq/L. Results were qualitatively consistent when analyzing hospitalizations and a cardiovascular composite outcome. Conclusions Among HD patients, we identified a lower K threshold (peak K 5.1–5.5 mEq/L) than previously reported for increased risk of hospitalization and mortality, with the implication that a greater proportion (&gt;50%) of the HD population may be at risk. A reassessment of hyperkalemia severity ranges is needed, as well as an exploration of new strategies for effective management of chronic hyperkalemia.

scholarly journals Absent or insufficient anti-SARS-CoV-2 S antibodies at ICU admission are associated to higher viral loads in plasma, antigenemia and mortality in COVID-19 patients

2021 ◽  
Author(s):  
María Martin-Vicente ◽  
Raquel Almansa ◽  
Isidoro Martínez ◽  
Ana P. Tedim ◽  
Elena Bustamante ◽  
...  
Keyword(s):  
Viral Load ◽  
Cox Regression ◽  
Polyclonal Antibodies ◽  
Viral Rna ◽  
Viral Control ◽  
Cox Regression Analysis ◽  
Icu Admission ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
The Impact

AbstractPurposeto evaluate the association between anti-SARS-CoV-2 S IgM and IgG antibodies with viral RNA load in plasma, the frequency of antigenemia and with the risk of mortality in critically ill patients with COVID-19.Methodsanti-SARS-CoV-2 S antibodies levels, viral RNA load and antigenemia were profiled in plasma of 92 adult patients in the first 24 hours following ICU admission. The impact of these variables on 30-day mortality was assessed by using Kaplan-Meier curves and multivariate Cox regression analysis.Resultsnon survivors showed more frequently absence of anti-SARS-CoV-2 S IgG and IgM antibodies than survivors (26.3% vs 5.6% for IgM and 18.4% vs 5.6% for IgG), and a higher frequency of antigenemia (47.4% vs 22.2%) (p <0.05). Non survivors showed lower concentrations of anti-S IgG and IgM and higher viral RNA loads in plasma, which were associated to increased 30-day mortality and decreased survival mean time. [Adjusted HR (CI95%), p]: [S IgM (AUC ≥60): 0.48 (0.24; 0.97), 0.040]; [S IgG (AUC ≥237): 0.47 (0.23; 0.97), 0.042]; [Antigenemia (+): 2.45 (1.27; 4.71), 0.007]; [N1 viral load (≥ 2.156 copies/mL): 2.21 (1.11; 4.39),0.024]; [N2 viral load (≥ 3.035 copies/mL): 2.32 (1.16; 4.63), 0.017]. Frequency of antigenemia was >2.5-fold higher in patients with absence of antibodies. Levels of anti-SARS-CoV-2 S antibodies correlated inversely with viral RNA load.Conclusionabsence / insufficient levels of anti-SARS-CoV-2 S antibodies following ICU admission is associated to poor viral control, evidenced by increased viral RNA loads in plasma, higher frequency of antigenemia, and also to increased 30-day mortality.Take-home messageabsent or low levels of antibodies against the S protein of SARS-CoV- 2 at ICU admission is associated to an increased risk of mortality, higher frequency of antigenemia and higher viral RNA loads in plasma. Profiling anti-SARS-CoV-2 s antibodies at ICU admission could help to predict outcome and to better identify those patients potentially deserving replacement treatment with monoclonal or polyclonal antibodies.

scholarly journals Investigation of subsequent and co-infections associated with SARS-CoV-2 (COVID-19) in hospitalized patients

2020 ◽  
Author(s):  
Matthew P. Crotty ◽  
Ronda Akins ◽  
An Nguyen ◽  
Rania Slika ◽  
Kristen Rahmanzadeh ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Hospitalized Patients ◽  
Corticosteroid Administration ◽  
Cox Regression Analysis ◽  
Icu Admission ◽  
Cell Counts ◽  
Increased Risk

AbstractBackgroundSARS-CoV-2 has drastically affected healthcare globally and causes COVID-19, a disease that is associated with substantial morbidity and mortality. We aim to describe rates and pathogens involved in co-infection or subsequent infections and their impact on clinical outcomes among hospitalized patients with COVID-19.MethodsIncidence of and pathogens associated with co-infections, or subsequent infections, were analyzed in a multicenter observational cohort. Clinical outcomes were compared between patients with a bacterial respiratory co-infection (BRC) and those without. A multivariable Cox regression analysis was performed evaluating survival.ResultsA total of 289 patients were included, 48 (16.6%) had any co-infection and 25 (8.7%) had a BRC. No significant differences in comorbidities were observed between patients with co-infection and those without. Compared to those without, patients with a BRC had significantly higher white blood cell counts, lactate dehydrogenase, C-reactive protein, procalcitonin and interleukin-6 levels. ICU admission (84.0 vs 31.8%), mechanical ventilation (72.0 vs 23.9%) and in-hospital mortality (45.0 vs 9.8%) were more common in patients with BRC compared to those without a co-infection. In Cox proportional hazards regression, following adjustment for age, ICU admission, mechanical ventilation, corticosteroid administration, and pre-existing comorbidities, patients with BRC had an increased risk for in-hospital mortality (adjusted HR, 3.37; 95% CI, 1.39 to 8.16; P = 0.007). Subsequent infections were uncommon, with 21 infections occurring in 16 (5.5%) patients.ConclusionsCo-infections are uncommon among hospitalized patients with COVID-19, however, when BRC occurs it is associated with worse clinical outcomes including higher mortality.

Survival in Restless Legs Syndrome: An 11-Year Surveillance, Community-Based Population Study

2020 ◽  
Vol 54 (5) ◽  
pp. 375-382
Author(s):  
Esther Cubo ◽  
Carla Collazo Riobo ◽  
Cesar Gallego-Nieto ◽  
Miren Elizari-Roncal ◽  
Teresa Barroso-Pérez ◽  
...  
Keyword(s):  
Regression Analysis ◽  
General Population ◽  
Restless Legs Syndrome ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Restless Legs ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
Standardized Mortality Ratios

<b><i>Background:</i></b> A growing body of evidence relates restless legs syndrome (RLS) to an increased risk of mortality attributable to both cerebrovascular and cardiovascular events. The aim was to investigate survival in patients with RLS. <b><i>Methods:</i></b> This was an observational, retrospective longitudinal study of a cohort of patients followed up for 11 years. RLS was diagnosed by a physician using the International RLS Study Group criteria. Mortality was analyzed using age-standardized mortality ratios (SMR: observed/expected deaths) and Cox regression analysis. <b><i>Results:</i></b> Vital status was studied in a cohort of 232 patients: 181 women (78%), 96 with RLS (41.4%) with a mean age at baseline of 49.8 ± 15.0 years and a mean RLS duration of 14.1 ± 1.9 years, and 136 non-RLS (58.6%) with a mean age of 51.3 ± 14.9 years. This RLS cohort was followed up for a period of 10.4 ± 2.0 years. As of September 2019, 17 (7.3%) patients died (6 with RLS, 6.3%), and the most frequent cause was oncological (66.7%). A total of 944 person-years of observations were available for survival analysis. RLS was not associated with increased mortality in adjusted Cox regression analysis (HR = 1.12, 95% CI: 0.40–3.15), and survival was similar to that expected for the general population (SMR = 0.61, 95% CI: 0.27–1.36). <b><i>Conclusions:</i></b> RLS seems not to be associated with increased mortality compared to the general population. Still, studies with prospective data collection with large samples are needed to study the long-term mortality risk factors in RLS cohorts.

scholarly journals Pulmonary artery to aorta ratio and risk of all-cause mortality in the general population: the Rotterdam Study

2017 ◽  
Vol 49 (6) ◽  
pp. 1602168 ◽  
Author(s):  
Natalie Terzikhan ◽  
Daniel Bos ◽  
Lies Lahousse ◽  
Lennard Wolff ◽  
Katia M.C. Verhamme ◽  
...  
Keyword(s):  
General Population ◽  
Pulmonary Artery ◽  
Cox Regression ◽  
Cardiac Computed Tomography ◽  
Chronic Obstructive ◽  
Rotterdam Study ◽  
Prognostic Information ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
Severe Copd

A pulmonary artery to aorta ratio (PA:A) >1 is a proxy of pulmonary hypertension. It is not known whether this measure carries prognostic information in the general population and in individuals with chronic obstructive pulmonary disease (COPD).Between 2003 and 2006, 2197 participants from the population-based Rotterdam Study (mean±sd age 69.7±6.7 years; 51.3% female), underwent cardiac computed tomography (CT) scanning with PA:A quantification, defined as the ratio between the diameters of the pulmonary artery and the aorta. COPD was diagnosed based on spirometry or clinical presentation and obstructive lung function measured by a treating physician. Cox regression was used to investigate the risk of mortality.We observed no association between 1-sd increase of PA:A and mortality in the general population. Larger PA:A was associated with an increased risk of mortality in individuals with COPD, particularly in moderate-to-severe COPD (hazard ratio 1.36, 95% CI 1.03–1.79). We demonstrated that the risk of mortality in COPD was driven by severe COPD, and that this risk increased with decreasing diffusing capacity.Larger PA:A is not associated with mortality in an older general population, but is an independent determinant of mortality in moderate-to-severe COPD. Measuring PA:A in CT scans obtained for other indications may yield important prognostic information in individuals with COPD.

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