ABSTRACT
BACKGROUND: Prone position ventilation (PPV) is resource-intensive, yet the optimal strategy for PPV in intubated patients with COVID-19 is unclear. RESEARCH QUESTION: Does a prolonged (24 or more hours) PPV strategy improve mortality in intubated COVID-19 patients compared to intermittent (â¼16 hours with daily supination) PPV? STUDY DESIGN AND METHODS: Multicenter, retrospective cohort study of consecutively admitted intubated COVID-19 patients treated with PPV between March 11 - May 31, 2020. The primary outcome was 30-day all-cause mortality. Secondary outcomes included 90-day all-cause mortality and prone-related complications. Inverse probability treatment weights (IPTW) were used to control for potential treatment selection bias. RESULTS: Of the COVID-19 patients who received PPV, 157 underwent prolonged and 110 underwent intermittent PPV. Patients undergoing prolonged PPV had reduced 30-day (adjusted hazard ratio [aHR] 0.475, 95% CI 0.336-0.670, P value < 0.001) and 90-day (aHR 0.638, 95% CI 0.461-0.883, P value = 0.006) mortality compared to intermittent PPV. In patients with PaO2/FIO2 ≤ 150 at the time of pronation, prolonged PPV was associated with reduced 30-day (aHR 0.357, 95% CI 0.213-0.597, P value < 0.001) and 90-day mortality (aHR 0.562, 95% CI 0.357-0.884, P value = 0.008). Patients treated with prolonged PPV underwent fewer pronation and supination events (median 1, 95% CI 1-2 versus 3, 95% CI 1-4, P value < 0.001). PPV strategy was not associated with overall PPV-related complications though patients receiving prolonged PPV had increased rates of facial edema and lower rates of peri-proning hypotension. INTERPRETATION: Among intubated COVID-19 patients who received PPV, prolonged PPV was associated with reduced mortality. Prolonged PPV was associated with fewer pronation and supination events and a small increase in rates of facial edema. These findings suggest that prolonged PPV is a safe, effective strategy for mortality reduction in intubated COVID-19 patients.
ABSTRACT
Purpose: Code status orders impact clinical outcomes as well as patients' and surrogates' experiences. This is the first multicenter cohort examining code status orders of ICU patients with COVID-19 reported to date. Materials and methods: This is a retrospective cohort study including adult patients who tested positive for SARS-CoV-2 and were admitted to the ICU at three hospitals in Massachusetts from March 11, 2020 - May 31, 2020. We examined differences in code status orders at multiple timepoints and performed multivariable regression analysis to identify variables associated with code status at admission. Results: Among 459 ICU patients with COVID-19, 421 (91.7%) were Full Code at hospital admission. Age and admission from a facility were positively associated with DNR status (adjusted OR 1.10, 95% CI 1.05-1.15, p < 0.001 and adjusted OR 2.68, CI 1.23-5.71, p = 0.011, respectively) while non-English preferred language was negatively associated with DNR status (adjusted OR 0.29, 95% CI 0.10-0.74, p = 0.012). Among 147 patients who died during hospitalization, 95.2% (140) died with DNR code status; most (86.4%) died within two days of final code status change. Conclusions: The association of non-English preferred language with Full Code status in critically ill COVID-19 patients highlights the importance of medical interpreters in the ICU. Patients who died were transitioned to DNR more than in previous studies, possibly reflecting changes in practice during a novel pandemic.
ABSTRACT
Purpose Code status orders impact clinical outcomes as well as patients’ and surrogates’ experiences. This is the first multicenter cohort examining status orders of ICU patients with COVID-19 reported to date. Materials and methods This is a retrospective cohort study including adult patients who tested positive for SARS-CoV-2 and were admitted to the ICU at three hospitals in Massachusetts from March 11, 2020 - May 31, 2020. We examined differences in code status orders at multiple timepoints and performed multivariable regression analysis to identify variables associated with code status at admission. Results Among 459 ICU patients with COVID-19, 421 (91.7%) were Full Code at hospital admission. Age and admission from a facility were positively associated with DNR status (adjusted OR 1.10, 95% CI 1.05-1.15, p < 0.001;adjusted OR 2.68, CI 1.23-5.71, p = 0.011) while non-English preferred language was negatively associated with DNR status (adjusted OR 0.29, 95% CI 0.10-0.74, p = 0.012). Among 147 patients who died during hospitalization, 95.2% (140) died with DNR code status;most (86.4%) died within two days of final code status change. Conclusions The association of non-English preferred language with Full Code status in critically ill COVID-19 patients highlights the importance of medical interpreters in the ICU. Patients who died were transitioned to DNR more than in previous studies, possibly reflecting changes in practice during a novel pandemic.
ABSTRACT
BACKGROUND: There is a limited understanding of the impact of coronavirus disease 2019 (COVID-19) on the Latinx population. We hypothesized that Latinx patients would be more likely to be hospitalized and admitted to the intensive care unit (ICU) than White patients. METHODS: We analyzed all patients with COVID-19 in 12 Massachusetts hospitals between February 1 and April 14, 2020. We examined the association between race, ethnicity, age, reported comorbidities, and hospitalization and ICU admission using multivariable regression. RESULTS: Of 5190 COVID-19 patients, 29% were hospitalized; 33% required the ICU, and 4.3% died. Forty-six percent of patients were White, 25% Latinx, 14% African American, and 3% Asian American. Ethnicity and race were significantly associated with hospitalization. More Latinx and African American patients in the younger age groups were hospitalized than whites. Latinxs and African Americans disproportionally required the ICU, with 39% of hospitalized Latinx patients requiring the ICU compared with 33% of African Americans, 24% of Asian Americans, and 30% of Whites (Pâ <â .007). Within each ethnic and racial group, age and male gender were independently predictive of hospitalization. Previously reported preexisting comorbidities contributed to the need for hospitalization in all racial and ethnic groups (Pâ <â .05). However, the observed disparities were less likely related to reported comorbidities, with Latinx and African American patients being admitted at twice the rate of Whites, regardless of such comorbidities. CONCLUSIONS: Latinx and African American patients with COVID-19 have higher rates of hospitalization and ICU admission than White patients. The etiologies of such disparities are likely multifactorial and cannot be explained only by reported comorbidities.
ABSTRACT
BACKGROUND: Despite over 4 million cases of novel coronavirus disease 2019 (COVID-19) in the United States, limited data exist including socioeconomic background and post-discharge outcomes for patients hospitalized with this disease. METHODS: In this case series, we identified patients with COVID-19 admitted to 3 Partners Healthcare hospitals in Boston, Massachusetts between March 7th, 2020, and March 30th, 2020. Patient characteristics, treatment strategies, and outcomes were determined. FINDINGS: A total of 247 patients hospitalized with COVID-19 were identified; the median age was 61 (interquartile range [IQR]: 50-76 years), 58% were men, 30% of Hispanic ethnicity, 21% enrolled in Medicaid, and 12% dual-enrolled Medicare/Medicaid. The median estimated household income was $66,701 [IQR: $50,336-$86,601]. Most patients were treated with hydroxychloroquine (72%), and statins (76%; newly initiated in 34%). During their admission, 103 patients (42%) required intensive care. At the end of the data collection period (June 24, 2020), 213 patients (86.2%) were discharged alive, 2 patients (0.8%) remain admitted, and 32 patients (13%) have died. Among those discharged alive (n = 213), 70 (32.9%) were discharged to a post-acute facility, 31 (14.6%) newly required supplemental oxygen, 19 (8.9%) newly required tube feeding, and 34 (16%) required new prescriptions for antipsychotics, benzodiazepines, methadone, or opioids. Over a median post-discharge follow-up of 80 days (IQR, 68-84), 22 patients (10.3%) were readmitted. INTERPRETATION: Patients hospitalized with COVID-19 are frequently of vulnerable socioeconomic status and often require intensive care. Patients who survive COVID-19 hospitalization have substantial need for post-acute services.