Pertinent factors associated with increased risk of diagnosis included active tobacco use, COPD, and prior nonpulmonary malignancy. Interestingly, stroke, diabetes, dementia, and heart failure were associated with a lower risk of diagnosis, likely due to early mortality from these diseases prior to diagnosis of lung cancer.
Mean time to diagnosis was 297 days, with just 27% diagnosed within 30 days. On mortality analysis, 12.9% (n=5270) of the patients died within 30 days and 20.7% (n=8451) within 90 days. Thus, a period of surveillance of 30 to 90 days following pneumonia, especially in patients with risk factors, could be beneficial.
This study was limited due to the shortcomings of database analyses. Also, the predominantly male, elderly, veteran population restricts extrapolation to the general population.
Bottom line: Patients with risk factors for lung cancer might benefit from surveillance chest imaging after hospitalization for pneumonia to rule out an underlying malignancy.
Citation: Mortensen EM, Copeland LA, Pugh MJ, et al. Diagnosis of pulmonary malignancy after hospitalization for pneumonia. Am J Med. 2010:123(1):66-71.
Hospital-Associated Hyponatremia of Any Severity Adversely Impacts Mortality and Financial Metrics
Clinical question: Does hyponatremia during a hospitalization prophesize a worse outcome?
Study design: Retrospective cohort study from 2002-2007.
Setting: Urban academic medical center.
Synopsis: This study included 53,236 adults based on the presence of admission or subsequent hyponatremia (defined as [Na+] <138 mEq/L). The patients were classified as community-acquired (CAH=37.9%), hospital-aggravated (5.7%), or hospital-acquired hyponatremia (HAH=38.2%).
Across all subgroups, all types of hyponatremia were independently associated with worse primary outcomes, including an increase in hospital mortality (CAH 52%, HAH 66%), prolongation of hospital stay, and discharge to a facility. Also, for the same [Na+], HAH had significantly increased mortality compared with CAH. Though the elderly were more prone to develop hyponatremia, patients younger than 65 had worse outcomes.
The severity of hyponatremia prognosticated adverse outcomes. The liberal definition of hyponatremia, as opposed to the current standard of <135 mEq/L, explains the large numbers in prevalence. However, even mild hyponatremia (133 mEq/L to 137) was linked to poor outcomes (adjusted OR 1.34; CI 1.18-1.51).
The study weaknesses include the use of administrative codes to identify comorbidities, less applicability to outpatient setting, and lack of evaluation of outcomes postdischarge. However, the robust numbers do establish inpatient hyponatremia as a marker of worse outcomes.
Bottom line: Inpatient hyponatremia of any severity is a marker of increased mortality and excessive financial burden.
Citation: Wald R, Jaber BL, Price LL, Upadhyay A, Madias NE. Impact of hospital-associated hyponatremia on selected outcomes. Arch Intern Med. 2010;170(3):294-302.
Patients Lack Awareness and Prefer to Be Updated Regarding Their Inpatient Medications
Clinical question: Is patient knowledge of their medications deficient, and does this reflect a lack of desire to be involved in the medication reconciliation process?
Background: Medication errors remain a significant healthcare problem due to their potential to increase morbidity. For medication administration errors, apart from the dispensing pharmacist and the nurses, patients could be the final checkpoint to ensure medication safety. However, their awareness and enthusiasm to participate has not been adequately assessed in the literature.
Study design: A cross-sectional study using individual surveys to assess awareness and attitudes regarding inpatient medications.
Setting: Single tertiary-care academic teaching hospital.
Synopsis: Fifty cognitively intact adult patients were consented for the study. Of these, 54% provided an accurate recollection of their outpatient medications. When they were surveyed regarding inpatient medications, 96% omitted at least one medication, with the average of 6.8 medication omissions. This was noted to correlate with age >65 years. Also, 44% erroneously presumed they were on a medication while they were in the hospital, even though they weren’t.