Background: The objective of our study is to analyze the clinical data of patients with pandemic H1N1 2009 infection admitted to the intensive care unit (ICU) and to report key features observed among these patients. Methods: A total of 18 patients were admitted to our ICU between July and November 2009, with a primary diagnosis of influenza. Clinical data were analyzed to identify potential risk factors and characteristics thought to affect outcomes. Results: Our patients were between ages 23 and 62 (mean 41). In all, 10 were obese. Two had no other comorbid conditions and 6 had obesity as their only comorbid condition. The most common symptoms were fever, shortness of breath, and cough. Laboratory data were notable for elevated creatine kinase levels, transaminitis, and lack of leukocytosis. The rapid influenza detection test (RIDT) had a 76% false negative result. Patients with a negative RIDT had their infection confirmed with real-time reverse transcriptase polymerase chain reaction (rRT-PCR). A total of 12 patients required invasive mechanical ventilation, with over half of whom responded only to nonconventional modes of ventilation. Most patients received high-dose (150 mg twice daily) oseltamivir. In all, 3 patients died and 11 were discharged without any long-term sequalae. Conclusions: Unlike seasonal influenza, our patients were not in the extremes of age. Most were obese and presented with severe respiratory distress and hypoxia in the summer months. A negative RIDT did not exclude pandemic H1N1 2009. Using a higher dose of oseltamivir and nonconventional modes of ventilation may have improved the outcome in our subset of patients. Hence, patients with a high clinical suspicion of severe influenza infection should be treated early and aggressively, even before confirmatory results are available.
Sepsis is a leading cause of mortality and morbidity in hospitalised patients. The Centers for Medicare and Medicaid Services (CMS) mandated that US hospitals report sepsis bundle compliance rate as a quality process measure in October 2015. The specific aim of our study was to improve the CMS sepsis bundle compliance rate from 30% to 40% across 20 acute care hospitals in our healthcare system within 1 year. The study included all adult inpatients with sepsis sampled according to CMS specifications from October 2015 to September 2016. The CMS sepsis bundle compliance rate was tracked monthly using statistical process control charting. A baseline rate of 28.5% with 99% control limits was established. We implemented multiple interventions including computerised decision support systems (CDSSs) to increase compliance with the most commonly missing bundle elements. Compliance reached 42% (99% statistical process control limits 18.4%-38.6%) as CDSS was implemented systemwide, but this improvement was not sustained after CMS changed specifications of the outcome measure. Difficulties encountered elucidate shortcomings of our study methodology and of the CMS sepsis bundle compliance rate as a quality process measure.
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