Abstract 114: Common Diagnostic Tests Do Not Guide Treatment for Acute Respiratory Conditions in Patients Hospitalized with Heart Failure

Author(s):  
Kumar Dharmarajan ◽  
Kelly M Strait ◽  
Tara Lagu ◽  
Shu-Xia Li ◽  
Harlan M Krumholz

Background: Patients hospitalized with heart failure (HF) are often treated for concomitant respiratory disease due to diagnostic uncertainty or coexisting conditions. Testing with natriuretic peptides, chest radiograph (CXR), and transthoracic echocardiogram (TTE) is common and may influence these treatment decisions. We examined hospital variation in diagnostic testing among inpatients with HF and how testing relates to additional treatment for coexisting respiratory conditions. Methods: We identified hospitalizations with a principal discharge diagnosis of HF from 2009-2010 Premier, Inc. hospitals and age>18y, known admission source, non-pediatric attending physician, receipt of HF treatment (loop diuretics, inotropes, or IV vasodilators), and >2 day hospital stay. We excluded hospitalizations with present-on-admission codes for infections besides pneumonia or inflammatory, allergic, or autoimmune conditions besides COPD. For hospital days 1-2, we calculated each hospital’s proportion of admissions receiving selected diagnostic tests (natriuretic peptides, CXR, TTE) and respiratory treatments (short-acting inhaled bronchodilators, antibiotics, high-dose steroids). Treatment categories were mutually exclusive. The proportion of admissions receiving diagnostic testing and respiratory treatments was calculated for each hospital, and summary statistics were reported across hospitals. Results: We identified 164,494 HF hospitalizations among 368 hospitals. Natriuretic peptide testing across hospitals was done in 81% to 92% (IQR; median 87%) of HF admissions, CXR testing was done in 87% to 94% (IQR; median 91%), and TTE testing was done in 39% to 56% (IQR; median 48%). The median proportion of hospitalizations receiving diagnostic testing at the hospital level was similar among patients treated only for HF and those also treated with at least one respiratory therapy (respectively, 88% vs. 90% for natriuretic peptides, 90% vs. 93% for CXR, and 51% vs. 49% for TTE). Detailed description of diagnostic testing among each treatment group at the hospital level is provided in the accompanying table. Conclusion: Hospital use of relatively inexpensive diagnostic tests among HF inpatients including natriuretic peptides and CXR is frequent with little inter-hospital variation. In contrast, more expensive testing with TTE is less common though more variable across hospitals. Although often ordered, natriuretic peptides, CXR, and TTE do not appear to influence physicians’ decisions to treat only for heart failure or also for potential coexisting respiratory conditions.

Author(s):  
Kumar Dharmarajan ◽  
Kelly M Strait ◽  
Tara Lagu ◽  
Shu-Xia Li ◽  
Joanne Lynn ◽  
...  

Background: Inpatients with heart failure (HF) may be treated for other acute conditions such as concomitant respiratory disease due to diagnostic uncertainty, coexisting illness, or other reasons. We investigated the frequency and mortality associated with respiratory treatments added to usual HF care. Methods: We included hospitalizations with a primary discharge diagnosis of HF from 2009-10 Premier, Inc. hospitals and age>18y, known admission source, non-pediatric attending physician, receipt of HF treatment (loop diuretics, inotropes, or IV vasodilators) and >2 day hospital stay. For hospital days 1-2 and 3-5, we noted receipt of potential respiratory treatments (short-acting inhaled bronchodilators, antibiotics, high-dose steroids). Hospitalizations with present-on-admission codes for infections besides pneumonia or inflammatory, allergic, or autoimmune conditions besides COPD were excluded. Hospitalizations were split into mutually exclusive and exhaustive groups based on treatments received in days 1-2 (table); odds of in-hospital mortality were determined for each after adjusting for age, sex, and Elixhauser comorbidities. Results: Among 164,494 HF hospitalizations, 54% (88,122) received treatment for acute respiratory conditions during hospital days 1-2 (table). At least 1 respiratory treatment was continued after day 2 in 60% (52,452) of patients who received initial treatment. Odds of in-hospital mortality increased with receipt of respiratory treatments in days 1-2 (table). Conclusions: HF inpatients are frequently treated for respiratory conditions. As these treatments are often given throughout hospitalization and identify patients at higher risk of death, coexisting comorbidities or a new cardiopulmonary syndrome may often be present, as may diagnostic uncertainty or overtreatment. Greater knowledge of patient complexity can improve treatment guidelines, patient outcomes, and risk-adjustment for performance measures.


1990 ◽  
Vol 29 (01) ◽  
pp. 61-66 ◽  
Author(s):  
P. S. Heckerling

AbstractDiagnostic tests provide information about the presence or absence of disease. However, even after application of diagnostic tests, significant uncertainty about the state of the patient often remains. This uncertainty can be quantified through the use of information theory. The “information” contained in diagnostic tests published in the medical literature of the years 1982 through 1986 was evaluated using Shannon information functions. Information content, averaged over all prior probabilities of disease, ranged from 0.002 bits to 0.720 bits of information; the tests therefore provided from 0.3% to 100% of the information needed for diagnostic certainty. Median average information was 0.395 bits, corresponding to only 55% of the information required for diagnostic certainty. Reclassifying test results into multiple mutually exclusive outcome categories allowed extraction of a median of 14% and a maximum of 109% more average information than that obtained using a dichotomous positive/negative classification. We conclude that the “information” provided by many of the tests published in the medical literature is insufficient to overcome diagnostic uncertainty. Information theory can quantify the uncertainty associated with diagnostic testing and suggest strategies for reducing this uncertainty.


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