scholarly journals The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fares Qeadan ◽  
Nana A. Mensah ◽  
Benjamin Tingey ◽  
Joseph B. Stanford
Keyword(s):  
Pregnant Women ◽  
Disease Outbreaks ◽  
Hospital Length ◽  
Morbidity And Mortality ◽  
Hospital Length Of Stay ◽  
High Risk Population ◽  
Invasive Ventilation ◽  
Female Patients ◽  
Race Ethnicity ◽  
The Impact

Abstract Background Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity. Methods We used retrospective data from January through June 2020 on female patients aged 18–44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilation, invasive ventilation, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. Results Out of 22,493 female patients with associated COVID-19, 7.2% (n = 1609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P < 0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P < 0.001) among those who stayed < 1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P < 0.001) among those who stayed ≥1 day, and higher moderate ventilation use (1.7% vs. 0.7%, P < 0.001) but showed no significant differences in rates of invasive ventilation or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilation (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed < 1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilation or death. For moderate ventilation, differences were seen among age and race/ethnicity groups. Conclusions Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

scholarly journals The Risk of Clinical Complications and Death among Pregnant Women with COVID-19 

2021 ◽  
Author(s):  
Fares Qeadan ◽  
Nana Mensah ◽  
Benjamin Tingey ◽  
Joseph Stanford
Keyword(s):  
Pregnant Women ◽  
Disease Outbreaks ◽  
Hospital Length ◽  
Morbidity And Mortality ◽  
Hospital Length Of Stay ◽  
High Risk Population ◽  
Female Patients ◽  
Ventilator Dependence ◽  
Race Ethnicity ◽  
The Impact

Abstract Background: Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity.Methods: We used retrospective data from January through June 2020 on female patients aged 18-44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilator dependence, invasive ventilator dependence, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. Results: Out of 22,493 female patients with identified COVID-19, 7.2% (n=1,609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P<0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P<0.001) among those who stayed <1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P<0.001) among those who stayed ≥1 day, and higher moderate ventilator dependence use (1.7% vs. 0.7%, P<0.001) but showed no significant differences in rates of invasive ventilator dependence or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilator dependence (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed <1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilator dependence or death. For moderate ventilator dependence, differences were seen among age and race/ethnicity groups.Conclusions: Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

scholarly journals Ethnicity and outcomes in patients hospitalised with COVID-19 infection in East London: an observational cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042140
Author(s):  
Vanessa J Apea ◽  
Yize I Wan ◽  
Rageshri Dhairyawan ◽  
Zudin A Puthucheary ◽  
Rupert M Pearse ◽  
...  
Keyword(s):  
Premature Death ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Organ Support ◽  
Invasive Ventilation ◽  
Black Patients ◽  
Hospitalised Patients ◽  
Observational Cohort ◽  
The Impact ◽  
To Receive

ObjectiveTo describe outcomes within different ethnic groups of a cohort of hospitalised patients with confirmed COVID-19 infection. To quantify and describe the impact of a number of prognostic factors, including frailty and inflammatory markers.SettingFive acute National Health Service Hospitals in east London.DesignProspectively defined observational study using registry data.Participants1737 patients aged 16 years or over admitted to hospital with confirmed COVID-19 infection between 1 January and 13 May 2020.Main outcome measuresThe primary outcome was 30-day mortality from time of first hospital admission with COVID-19 diagnosis during or prior to admission. Secondary outcomes were 90-day mortality, intensive care unit (ICU) admission, ICU and hospital length of stay and type and duration of organ support. Multivariable survival analyses were adjusted for potential confounders.Results1737 were included in our analysis of whom 511 had died by day 30 (29%). 538 (31%) were from Asian, 340 (20%) black and 707 (40%) white backgrounds. Compared with white patients, those from minority ethnic backgrounds were younger, with differing comorbidity profiles and less frailty. Asian and black patients were more likely to be admitted to ICU and to receive invasive ventilation (OR 1.54, (95% CI 1.06 to 2.23); p=0.023 and OR 1.80 (95% CI 1.20 to 2.71); p=0.005, respectively). After adjustment for age and sex, patients from Asian (HR 1.49 (95% CI 1.19 to 1.86); p<0.001) and black (HR 1.30 (95% CI 1.02 to 1.65); p=0.036) backgrounds were more likely to die. These findings persisted across a range of risk factor-adjusted analyses accounting for major comorbidities, obesity, smoking, frailty and ABO blood group.ConclusionsPatients from Asian and black backgrounds had higher mortality from COVID-19 infection despite controlling for all previously identified confounders and frailty. Higher rates of invasive ventilation indicate greater acute disease severity. Our analyses suggest that patients of Asian and black backgrounds suffered disproportionate rates of premature death from COVID-19.

scholarly journals Association of Emergency Department Waiting Times With Patient Experience in Admitted and Discharged Patients

2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Patient Experience ◽  
Waiting Times ◽  
Hospital Length ◽  
Short Length ◽  
Hospital Length Of Stay ◽  
Patient’S Experience ◽  
Discharged Patients ◽  
The Impact

Prolonged waiting times are associated with worse patient experience in patients discharged from the emergency department (ED). However, it is unclear which component of the waiting times is most impactful to the patient experience and the impact on hospitalized patients. We performed a retrospective analysis of ED patients between July 2018 and March 30, 2020. In all, 3278 patients were included: 1477 patients were discharged from the ED, and 1680 were admitted. Discharged patients had a longer door-to-first provider and door-to-doctor time, but a shorter doctor-to-disposition, disposition-to-departure, and total ED time when compared to admitted patients. Some, but not all, components of waiting times were significantly higher in patients with suboptimal experience (<100th percentile). Prolonged door-to-doctor time was significantly associated with worse patient experience in discharged patients and in patients with hospital length of stay ≤4 days. Prolonged ED waiting times were significantly associated with worse patient experience in patients who were discharged from the ED and in inpatients with short length of stay. Door-to-doctor time seems to have the highest impact on the patient’s experience of these 2 groups.

scholarly journals The Impact of Selenium Supplementation on Trauma Patients—Systematic Review and Meta-Analysis

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 342
Author(s):  
Jen-Fu Huang ◽  
Chih-Po Hsu ◽  
Chun-Hsiang Ouyang ◽  
Chi-Tung Cheng ◽  
Chia-Cheng Wang ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Meta Analysis ◽  
Infectious Complications ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Current Evidence ◽  
Trauma Patients ◽  
Positive Effects ◽  
Standard Difference ◽  
The Impact

This study aimed to assess current evidence regarding the effect of selenium (Se) supplementation on the prognosis in patients sustaining trauma. MEDLINE, Embase, and Web of Science databases were searched with the following terms: “trace element”, “selenium”, “copper”, “zinc”, “injury”, and “trauma”. Seven studies were included in the meta-analysis. The pooled results showed that Se supplementation was associated with a lower mortality rate (OR 0.733, 95% CI: 0.586, 0.918, p = 0.007; heterogeneity, I2 = 0%). Regarding the incidence of infectious complications, there was no statistically significant benefit after analyzing the four studies (OR 0.942, 95% CI: 0.695, 1.277, p = 0.702; heterogeneity, I2 = 14.343%). The patients with Se supplementation had a reduced ICU length of stay (standard difference in means (SMD): −0.324, 95% CI: −0.382, −0.265, p < 0.001; heterogeneity, I2 = 0%) and lesser hospital length of stay (SMD: −0.243, 95% CI: −0.474, −0.012, p < 0.001; heterogeneity, I2 = 45.496%). Se supplementation after trauma confers positive effects in decreasing the mortality and length of ICU and hospital stay.

scholarly journals What Is the Impact of Ambulatory Vital Sign Monitoring on Deterioration Detection and Related Clinical Outcomes in Hospitalised Patients: a Systematic Review and Meta-analysis.

2021 ◽  
Author(s):  
Carlos Morgado Areia ◽  
Christopher Biggs ◽  
Mauro Santos ◽  
Neal Thurley ◽  
Stephen Gerry ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Outcomes ◽  
Standard Care ◽  
Meta Analysis ◽  
Ambulatory Monitoring ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Monitoring Systems ◽  
Hospitalised Patients ◽  
The Impact

Abstract Background: Timely recognition of the deteriorating inpatient remains challenging. Ambulatory monitoring systems (AMS) may augment current monitoring practices. However, there are many challenges to implementation in the hospital environment, and evidence describing the clinical impact of AMS on deterioration detection and patient outcome remains unclear. Objective: To assess the impact of vital signs monitoring on detection of deterioration and related clinical outcomes in hospitalised patients using ambulatory monitoring systems, in comparison with standard care.Methods: A systematic search was conducted in August 2020 using MEDLINE, Embase, CINAHL, Cochrane Database of Systematic Reviews, CENTRAL and Health Technology Assessment databases, as well as grey literature. Studies comparing the use of AMS against standard care for deterioration detection and related clinical outcomes in hospitalised patients were included. Deterioration related outcomes (primary) included unplanned intensive care admissions, rapid response team or cardiac arrest activation, total and major complications rate. Other clinical outcomes (secondary) included in-hospital mortality and hospital length of stay. Exploratory outcomes included alerting system parameters and clinical trial registry information. Results: Of 8706 citations, 10 studies with different designs met the inclusion criteria, of which 7 were included in the meta-analyses. Overall study quality was moderate. The meta-analysis indicated that the AMS, when compared with standard care, was associated with a reduction in intensive care transfers (risk ratio, RR, 0.87; 95% confidence interval, CI, 0.66 to 1.15), rapid response or cardiac arrest team activation (RR, 0.84; 95% CI 0.69 to 1.01), total (RR, 0.77; 95% CI 0.44 to 1.32) and major (RR, 0.55; 95% CI 0.24 to 1.30) complications prevalence. There was also association with reduced mortality (RR, 0.48; 95% CI 0.18 to 1.29) and hospital length of stay (mean difference, MD, -0.09; 95% CI -0.43 to 0.44). However, none were statistically significant.Conclusion: This systematic review indicates that implementation of AMS may have a positive impact on early deterioration detection and associated clinical outcomes, but differing design/quality of available studies and diversity of outcomes measures limits a definite conclusion. Our narrative findings suggested that alarms should be adjusted to minimise false alerts and promote rapid clinical action in response to deterioration.PROSPERO Registration number: CRD42020188633

scholarly journals Postoperative Respiratory Impairment Is a Real Risk for Our Patients: The Intensivist’s Perspective

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Vidya K. Rao ◽  
Ashish K. Khanna
Keyword(s):  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Postoperative Monitoring ◽  
Respiratory Impairment ◽  
Monitoring Strategies ◽  
Downstream Effects ◽  
Real Risk ◽  
Anesthetic Risk ◽  
Preoperative Risk Stratification ◽  
The Impact

Postoperative respiratory impairment occurs as a result of a combination of patient, surgical, and management factors and contributes to both surgical and anesthetic risk. This complication is challenging to predict and has been associated with an increase in mortality and hospital length of stay. There is mounting evidence to suggest that patients remain vulnerable to respiratory impairment well into the postoperative period, with the vast majority of adverse events occurring during the first 24 hours following discharge from anesthesia care. At present, preoperative risk stratification scores may be able to identify patients who are particularly prone to respiratory complications but cannot consistently and globally predict risk in an ongoing fashion as they do not incorporate the impact of intra- and postoperative events. Current postoperative monitoring strategies are not always continuous or comprehensive and do not dependably identify all cases of respiratory impairment or mitigate their sequelae, which may be severe and require the use of increasingly limited intensive care unit resources. As a result, postoperative respiratory impairment has the potential to cause significant downstream effects that can increase cost and adversely impact the care of other patients.

scholarly journals Association of Herpes Simplex Virus Testing with Hospital Length of Stay for Infants ≤60 Days of Age Undergoing Evaluation for Meningitis

2019 ◽  
Vol 14 (8) ◽  
pp. 492-495 ◽  
Author(s):  
Paul L Aronson ◽  
Andrea T Cruz ◽  
Stephen B Freedman ◽  
Fran Balamuth ◽  
Kendra L Grether-Jones ◽  
...  
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Length Of Stay ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Incident Rate ◽  
Neonatal Herpes Simplex ◽  
Simplex Virus ◽  
The Impact ◽  
Pcr Test

Although neonatal herpes simplex virus (HSV) causes significant morbidity, utilization of the cerebrospinal fluid (CSF) HSV polymerase chain reaction (PCR) test remains variable. Our objective was to examine the association of CSF HSV PCR testing with length of stay (LOS) in a 20-center retrospective cohort of hospitalized infants aged ≤60 days undergoing evaluation for meningitis after adjustment for patient-level factors and clustering by center. Of 20,496 eligible infants, 7,399 (36.1%) had a CSF HSV PCR test performed, and 46 (0.6% of those tested) had a positive test. Infants who had a CSF HSV PCR test performed had a 23% longer hospital LOS (incident rate ratio 1.23; 95% CI: 1.14-1.33). Targeted CSF HSV PCR testing may mitigate the impact on LOS for low-risk infants.

Abstract 4603: Home Surveillance Results in Improved Interstage Weight Gain in Infants following the Norwood Operation

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Karen Uzark ◽  
Paula Eldridge ◽  
William Border ◽  
Mary Pat Alfaro ◽  
Megan Donley ◽  
...  
Keyword(s):  
Weight Gain ◽  
Length Of Stay ◽  
Hospital Length ◽  
Stage I ◽  
Stage Ii ◽  
Hospital Length Of Stay ◽  
Complex Congenital Heart Disease ◽  
Norwood Operation ◽  
Weight Monitoring ◽  
The Impact

Infants with complex congenital heart disease are at increased risk for malnutrition and poor weight gain. At our institution, infants who undergo Stage I Norwood operation are discharged with a home surveillance (HomeSurv) program which includes weight monitoring. To evaluate the impact of home surveillance on interstage growth, a current cohort of patients enrolled in Home Surv (n=18) was compared to a cohort discharged immediately prior to the implementation of the Home Surv program (n=20). The cohorts were compared using parametric and non-parametric methods as appropriate. Results: Infants underwent Stage I at a median age of 3.5 days (range 1–26), and at a mean weight 3.0 ± 0.4 kg., 26 with a modified Blalock-Taussig shunt and 12 with a right ventricular-to-pulmonary artery shunt. There were 26 males and 12 females. There were no significant differences between the groups with and without HomeSurv with respect to Stage I age, sex, Stage I weight, or shunt type. Stage I discharge weights were similar between the two cohorts (p=0.23) and there was no significant difference in Stage I hospital length of stay (p=0.10). Mean age at Stage II was 5.1 mos in the HomeSurv group and 4.9 mos in the pre-HomeSurv group, (p = 0.63). Mean weight at Stage II was higher in the HomeSurv group, but not statistically significant (5.9 kg vs 5.5 kg, p=0.30). However, weight gain >15 gms/day post Stage I discharge (our minimum weight gain threshold) was achieved by 89% of infants with Home Surv in comparison to 60% of the pre-HomeSurv group, p<.05. Weight gain was not significantly correlated with weight at Stage I, Stage I hospital length of stay, or age at Stage II, and was not significantly different related to shunt type. Conclusion: Home surveillance including weight monitoring following Stage I Norwood positively impacts interstage weight gain. In particular, it appears to confer protection for at-risk infants who fall below the threshold weight gain of 15gms/day. Future studies should explore whether this improved weight gain is an important factor in interstage morbidity and mortality.

Abstract 16190: National Trends in RSV Hospitalizations in Children With Hemodynamically Significant Heart Disease, 1997-2009

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Patricia Y Chu ◽  
Christoph P Hornik ◽  
Jennifer S Li ◽  
Michael J Campbell ◽  
Kevin D Hill
Keyword(s):  
Heart Disease ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Early Adoption ◽  
Rsv Infection ◽  
Common Ventricle ◽  
Syncytial Virus ◽  
National Trends ◽  
Left Heart Syndrome ◽  
The Impact

Background: Children with hemodynamically significant heart disease (HS-HD) are at risk for morbidities and mortality due to respiratory syncytial virus (RSV). Palivizumab was approved for RSV prophylaxis in 1998. Guidelines released in December 2003 recommend palivizumab for all children < 2 yrs with HS-HD. We sought to define the impact of RSV prophylaxis in children with HS-HD by evaluating trends in U.S. RSV hospitalizations. Methods: The 1997, ’00, ’03, ’06 and ’09 Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Databases (KID) were used to estimate U.S. RSV hospitalizations in children < 2 yrs, overall and in those with HS-HD, using standard HCUP weighting methods. RSV was defined by ICD-9-CM codes for RSV infection. HS-HD was defined using ICD-9-CM codes from the Clinical Classifications Software for congestive heart failure, or an ICD-9-CM code for pulmonary hypertension, common truncus, common ventricle, or hypoplastic left heart syndrome. Results: Our cohort included an estimated 461,491 RSV hospitalizations; 2,132 in children with HS-HD. Figure 1 depicts hospitalizations over time. There was no evident trend in number of overall RSV hospitalizations, however RSV hospitalizations in children with HS-HD declined by 39% from ’97 to ‘09. The largest decline was from ’97-’03. RSV hospitalizations in children with HS-HD relative to overall hospitalizations in children with HS-HD declined annually from ’97-’06 with a small increase in ‘09 (3.8%, 3.5%, 3.0%, 2.3% and 2.6% for successive analytic years). In 2009 mean hospital length of stay for children with HS-HD and RSV was 22.5 ± 2.1 days. Conclusions: RSV disease burden in children with HS-HD has declined since palivizumab approval. Much of this decline occurred before palivizumab was recommended for use in HS-HD, perhaps reflecting early adoption of prophylaxis, or greater awareness of alternative preventative strategies. RSV remains a significant cause of morbidity in children with HS-HD.

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