scholarly journals Concomitant diseases in COVID-19 and their impact on the risks of adverse outcomes

2021 ◽  
Vol 102 (6) ◽  
pp. 843-854
Author(s):  
N V Ivanova ◽  
V S Belov ◽  
A I Samarkin ◽  
Z N Tretyakevich ◽  
V M Mikushev ◽  
...  

Aim. To analyze COVID-19 comorbidities and their impact on disease course and the risk for unfavorable outcomes. Methods. This study examined a group of 110 patients aged 32 to 97 who were admitted to the intensive care unit of the Pskov Regional Infectious Diseases Hospital in the period from October 7, 2020 to March 23, 2021. The mean age of patients was 65 years, 51% (56 people) were male. The study recorded age, comorbidities on a binary scale (yes no), course of the disease, the degree of lung injury, hospital length of stay, treatment outcome. The impact of comorbidities on the disease severity and outcomes was assessed by using logistic regression analysis. Results. It was shown that a regional sample of patients showed an increased hospital mortality rate compared with the data of the ACTIV registry (33.5 versus 7.6%). Chronic respiratory diseases in patients with COVID-19 regional cohorts affected the fatal outcome 2.7 times less than those registered in the Russian register. The presence of endocrine and thrombotic circulatory system diseases was generally close to the register. Concomitant cardiovascular diseases in patients of the regional cohort affected the mortality of COVID-19 outcomes two times less (in patients of the region, the risk of mortality increased by 2.066 times) than in the registry. The reliability of the conclusions is confirmed by testing statistical hypotheses and reliability coefficients below 5%. Conclusion. The study shows the statistically significant effect of comorbidities on the COVID-19 outcomes; the specificity of the results related to the sampling characteristics and the regional component.

2020 ◽  
Vol 48 (9) ◽  
pp. 1008-1012 ◽  
Author(s):  
Eran Bornstein ◽  
Moti Gulersen ◽  
Gregg Husk ◽  
Amos Grunebaum ◽  
Matthew J. Blitz ◽  
...  

AbstractObjectivesTo report our experience with early postpartum discharge to decrease hospital length of stay among low-risk puerperium patients in a large obstetrical service during the COVID-19 pandemic in New York.MethodsRetrospective analysis of all uncomplicated postpartum women in seven obstetrical units within a large health system between December 8th, 2019 and June 20th, 2020. Women were stratified into two groups based on date of delivery in relation to the start of the COVID-19 pandemic in New York (Mid-March 2020); those delivering before or during the COVID-19 pandemic. We compared hospital length of stay, defined as time interval from delivery to discharge in hours, between the two groups and correlated it with the number of COVID-19 admissions to our hospitals. Statistical analysis included use of Wilcoxon rank sum test and Chi-squared test with significance defined as p-value<0.05.ResultsOf the 11,770 patients included, 5,893 (50.1%) delivered prior to and 5,877 (49.9%) delivered during the COVID-19 pandemic. We detected substantial shortening in postpartum hospital length of stay after vaginal delivery (34 vs. 48 h, p≤0.0001) and cesarean delivery (51 vs. 74 h, p≤0.0001) during the COVID-19 pandemic.ConclusionsWe report successful implementation of early postpartum discharge for low-risk patients resulting in a significantly shorter hospital stay during the COVID-19 pandemic in New York. The impact of this strategy on resource utilization, patient satisfaction and adverse outcomes requires further study.


2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  

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.


BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042140
Author(s):  
Vanessa J Apea ◽  
Yize I Wan ◽  
Rageshri Dhairyawan ◽  
Zudin A Puthucheary ◽  
Rupert M Pearse ◽  
...  

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fares Qeadan ◽  
Nana A. Mensah ◽  
Benjamin Tingey ◽  
Joseph B. Stanford

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.


2018 ◽  
Vol 7 (5) ◽  
pp. 229-236
Author(s):  
О. P. Volosovets ◽  
S. P. Kryvopustov ◽  
T. О. Kryuchko ◽  
M. О. Gonchar ◽  
A. E. Abaturov ◽  
...  

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 342
Author(s):  
Jen-Fu Huang ◽  
Chih-Po Hsu ◽  
Chun-Hsiang Ouyang ◽  
Chi-Tung Cheng ◽  
Chia-Cheng Wang ◽  
...  

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.


2021 ◽  
Author(s):  
Carlos Morgado Areia ◽  
Christopher Biggs ◽  
Mauro Santos ◽  
Neal Thurley ◽  
Stephen Gerry ◽  
...  

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


2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Vidya K. Rao ◽  
Ashish K. Khanna

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.


2019 ◽  
Vol 14 (8) ◽  
pp. 492-495 ◽  
Author(s):  
Paul L Aronson ◽  
Andrea T Cruz ◽  
Stephen B Freedman ◽  
Fran Balamuth ◽  
Kendra L Grether-Jones ◽  
...  

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.


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