scholarly journals Association between Cardiovascular Burden and Requirement of Intensive Care among Patients with Mild COVID-19

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Shi Tai ◽  
Jianjun Tang ◽  
Bilian Yu ◽  
Liang Tang ◽  
Yang Wang ◽  
...  

Background. Information regarding the impact of cardiovascular (CV) conditions on disease progression among patients with mild coronavirus disease 2019 (COVID-19) is limited. Methods. This study evaluated the association of underlying CV conditions with disease progression in patients with mild COVID-19. The primary outcome was the need to be transferred to the designated hospital for intensive care due to COVID-19 disease progression. The patients were divided into with and without CV conditions as well as stable and intensive care groups. Results. Of the 332 patients with mild COVID-19, the median age was 51 years (IQR, 40-59 years), and 200 (61.2%) were female. Of the 48 (14.5%) patients with CV conditions, 23 (47.9%) progressed to severe disease status and required intensive care. Compared with patients without CV conditions, patients with CV conditions were older and more likely to have fatigue, chest tightness, and myalgia. The rate of requiring intensive care was significantly higher among patients with CV conditions than in patients without CV conditions (47.92% vs. 12.4%; P<0.001). In subgroup analysis, the rate of requiring intensive care was also higher among patients with either hypertension or coronary heart disease (CHD) than in patients without hypertension or CHD. The multivariable regression model showed that CV condition served as an independent risk factor for intensive care (odds ratio (OR), 2.652 (95% CI, 1.019-6.899)) after adjustment for various cofounders. Conclusions. Patients with mild COVID-19 complicating CV conditions are susceptible to develop severe disease status and requirement for intensive care.

2020 ◽  
Author(s):  
Shi Tai ◽  
Jianjun Tang ◽  
Bilian Yu ◽  
Liang Tang ◽  
Yang Wang ◽  
...  

AbstractBackgroundInformation regarding the impact of cardiovascular disease (CVD) on disease progression among patients with mild coronavirus disease 2019 (COVID-19) is limited.MethodsThis study evaluated the association of underlying CVD with disease progression in patients with mild COVID-19. The primary outcome was the need to be transferred to intensive care due to disease progression. The patients were divided with and without CVD as well as stable and intensive care groups.ResultsOf 332 patients with mild COVID-19, median age was 51 years (IQR, 40-59 years), and 200 (61.2%) were female. Of 48 (14.5%) patients with CVD, 23 (47.9%) progressed to severe disease status and required intensive care. Compared with patients without CVD, patients with CVD were older, and more likely to have fatigue, chest tightness, and myalgia. The rate of requiring intensive care was significantly higher among patients with CVD than in patients without CVD (47.92% vs. 12.4%; P<0.001). In subgroup analysis, rate of requiring intensive care was also higher among patients with either hypertension or coronary heart disease than in patients without hypertension or coronary heart disease. The multivariable regression model showed CVD served as an independent risk factor for intensive care (Odd ratio [OR], 2.652 [95% CI, 1.019-6.899]) after adjustment for various cofounders.ConclusionsPatients with mild COVID-19 complicating CVD in are susceptible to develop severe disease status and requirement for intensive care.Key PointsQuestionWhat is the impact of coexisting cardiovascular diseases (CVD) on disease progression in patients with mild COVID-19?FindingsAlthough most patients with mild COVID-19 were discharged alive from hospital, approximately 47.9% patients with coexisting CVD developed severe disease status and required intensive care. CVD is an independent risk factor of intensive care among patients with mild COVID-19.MeaningCoexisting CVD is associated with unfavorable outcomes among patients with mild COVID-19. Special monitoring is required for these patients to improve their outcome.


2018 ◽  
Vol 46 (10) ◽  
pp. 4071-4081 ◽  
Author(s):  
Qiang Li ◽  
Jiajiong Wang ◽  
Guomin Liu ◽  
Meng Xu ◽  
Yanguo Qin ◽  
...  

Objective To investigate the association between time from hospital admission to intensive care unit (ICU) admission (door to ICU time) and hospital mortality in patients with sepsis. Methods This retrospective observational study included routinely collected healthcare data from patients with sepsis. The primary endpoint was hospital mortality, defined as the survival status at hospital discharge. Door to ICU time was calculated and included in a multivariable model to investigate its association with mortality. Results Data from 13 115 patients were included for analyses, comprising 10 309 survivors and 2 806 non-survivors. Door to ICU time was significantly longer for non-survivors than survivors (median, 43.0 h [interquartile range, 12.4, 91.3] versus 26.7 h [7.0, 74.2]). In the multivariable regression model, door to ICU time remained significantly associated with mortality (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.006, 1.017) and there was a significant interaction between age and door to ICU time (OR 0.99, 95% CI 0.99, 1.00). Conclusion A shorter time from hospital door to ICU admission was shown to be independently associated with reduced hospital mortality in patients with severe sepsis and/or septic shock.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S48-S49
Author(s):  
Jessica Seidelman ◽  
Nicholas A Turner ◽  
Rebekah Wrenn ◽  
Christina Sarubbi ◽  
Deverick J Anderson ◽  
...  

Abstract Background The impact of formalized, interdisciplinary antimicrobial stewardship program (ASP) rounds in the intensive care unit (ICU) setting has not been well described. Methods We performed a two-arm, cluster-randomized, crossover quality improvement study over 8 months to compare the impact of weekly ICU rounds with an ASP team vs. usual care. The primary outcome was antibiotic use (AU) in days of therapy (DOT) per 1,000 days present during and following ICU exposure. Our cohort consisted of ICU patients in 5 ICUs in Duke University Hospital. The unit of randomization was rounding team, which corresponded to half of the ICU beds in each unit. Each team was randomized to the intervention for 4 months followed by usual care for 4 months (or vice versa). The intervention involved multidisciplinary review of eligible patients to discuss antibiotic optimization. Patients not on antibiotics, followed by infectious diseases, post-transplant, on ECMO, or with a ventricular assist device were excluded from review. Intervention impact was assessed with multivariable negative binomial regression rate ratios (RR). AU was assessed over time before and after the study period to assess global and unit-level trends. Results We had 4,683 ICU-exposed patients. Intervention effect was not significant for the primary outcome (table). The intervention order was not significant in the model. Eligible patients were lower in the cardiothoracic ICU (CTICU) compared with other units (table); the intervention led to a significant decrease in AU when the CTICU was removed (RR = 0.93 [0.89–0.98], P = 0.0025). Intervention impact was differential among ICUs, with the greatest effect in surgical and least in CTICU (table). nit-level AU decreased in all ICUs, driven by 4 of the 5 ICUs (table, figure). Conclusion The effect of ASP rounds on AU was mixed for different types of ICUs. The direct effect on AU (intervention vs. control) was small because the analysis addressed the whole ICU population and thus was subject to biases from exposures after an ICU stay, ineligible patients, and lack of blinding. However, we observed an overall decline in AU during the study period, which we believe represents indirect effects of increased ASP activity and awareness. Additional ASP resources to round more than weekly may result in greater effect. Disclosures All Authors: No reported Disclosures.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3075-3075 ◽  
Author(s):  
Hans C. Lee ◽  
Rima M. Saliba ◽  
Gabriela Rondon ◽  
Julianne Chen ◽  
Yasmeen Charafeddine ◽  
...  

Abstract Abstract 3075 Background: Allogeneic stem cell transplantation (allo-SCT) is a potential curative therapy for patients with relapsed or refractory acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, the risk for disease recurrence following transplant remains high. The ability to identify patients likely to relapse may allow for preemptive interventions in high-risk patients. The goal of hematopoietic transplantation is to eradicate the recipient myeloid leukemia cells and restore hematopoiesis and immunity with donor cells. Donor lymphoid cells mediate an important graft-vs.-leukemia effect. Post transplant peripheral blood (PB) chimerism analysis represents one potential tool for predicting disease recurrence, although the relationship between mixed chimerism and disease relapse is not well defined. Methods: We conducted a retrospective review of patients with AML/MDS who underwent allo-SCT with fludarabine/busulfan based conditioning regimens at The University of Texas MD Anderson Cancer Center between 2001 and 2011. PB chimerism was assessed between post-transplant days +90–120 using a multiplex PCR-based microsatellite polymorphism assay. Cox's proportional hazards regression was used on univariate and multivariate (MV) analysis to evaluate the impact of chimerism of T-lymphocytes and myeloid cells in PB, as well as patient-, disease-, and transplant-related variables on the rate of disease progression and progression-free survival (PFS). Survival and PFS were assessed in landmark analysis starting on day +120. The cut off levels for assessment of chimerism were based on the respective quartiles of distribution of T-lymphocytes and myeloid cells in the study population. Results: 483 patients who underwent allo-SCT for AML/MDS with fludarabine/busulfan based conditioning regimens between 2001–2011 were analyzed. Within this cohort, 378 patients were alive and without evidence of disease progression on day +120 and were eligible for study evaluation. Patients with disease progression or death within 3 weeks of chimerism assessment were excluded from analyses assessing the impact of chimerism on outcomes. 158 patients were in CR1, 66 in CR2, and 154 had active disease at the time of transplantation. PB T-lymphocyte and myeloid donor cell chimerism data between days +90–120 were available for 265 (70%) and 286 (76%) patients, respectively. The median follow-up time among surviving patients was 54 months (range, 5–126). Progression-free survival from day +120 was 56% (95% CI 39–52) at 3 years, and 46% (95% CI 39–52) overall. On univariate analysis, mixed T-lymphocyte chimerism of ≤87% (HR=1.8, P 0.03, Figure 1) and myeloid chimerism ≤98% (HR=2.4, P 0.005, Figure 2) were significantly associated with a higher rate of 3-year disease progression. These cut-off points were based on the 25th percentile of the respective distributions of T-lymphocyte and myeloid chimerism in the study population. Additional adverse factors included poor-risk cytogenetics (HR=1.5, P 0.04) and disease status other than first or second remission at the time of transplant (HR=2, P 0.002). All factors remained significant on MV analysis, with the exception of myeloid chimerism, which became only marginally significant (HR=1.96, P 0.06). Mixed T-lymphocyte (HR=1.5, P 0.05) and myeloid (HR=1.9, P 0.02) chimerism were also associated with significantly lower 3-year PFS on univariate analysis, but were no longer significant (HR=1.5, 95% CI 0.95–2.3 and HR=1.6, 95%, CI 0.9–2.8, respectively) after adjustment for disease status at transplant. Disease status other than first or second remission at transplant was the only significant predictor of 3-year PFS on MV analysis (HR=1.6, P=0.03). Stem cell source (PB vs. BM), donor type (match-related donor vs. other), age (>50 vs. ≤50 years), and diagnosis (AML vs. MDS) did not impact the rate of disease progression or disease free survival. Conclusion: Mixed T-lymphocyte and myeloid chimerism assessed on day +120 post SCT are associated with the rate of disease progression independently of disease status at transplant. The use of chimerism assessments may be useful in selecting patients at high-risk for relapse for preemptive therapeutic approaches. Disclosures: Champlin: Otsuka: Research Funding.


2021 ◽  
Author(s):  
Hyo-In Choi ◽  
Mi Yeon Lee ◽  
Byeong Kil Oh ◽  
Seung Jae Lee ◽  
Jeong Gyu Kang ◽  
...  

Abstract BackgroundFatty liver (FL), insulin resistance (IR), and obesity often coexist, but data on the independent impacts of these factors on N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in healthy populations are scarce. We therefore examined the impact of FL, IR and obesity on NT-proBNP levels using a large set of cross-sectional data.MethodsThe associations of FL, IR and obesity with NT-proBNP were analyzed in 39,923 healthy adult participants using Kangbuk Samsung Health Study data. IR was estimated using homeostasis model assessment-estimated insulin resistance (HOMA-IR) index. A multivariable regression model that adjusted for factors that influence NT-proBNP was conducted to identify associations between NT-proBNP and FL on abdominal ultrasound. ResultsA total of 11,704 (29.3%) individuals had FL on abdominal ultrasound. FL, IR and obesity showed independent inverse associations with NT-proBNP after multiple adjustments for baseline characteristics. In a multivariable regression model adjusting for IR and obesity, FL was independently associated with lower levels of NT-proBNP (odds ratio 0.864, 0.849 - 0.880). The combination of FL and IR was a powerful dual predictor, lowering NT-proBNP levels approximately 25% in the generally healthy study population.ConclusionIn this large sample of healthy individuals, FL was independently associated with lower NT-proBNP levels. FL and a high HOMA-IR index are a powerful predictor combination for lower NT-proBNP levels. Further research is needed to elucidate the mechanism underlying the association between FL and NT-proBNP.


2020 ◽  
Author(s):  
Jeanna Parsons Leigh ◽  
Rebecca Brundin-Mather ◽  
Liam Whalen-Browne ◽  
Devika Kashyap ◽  
Khara Sauro ◽  
...  

BACKGROUND Transitions in care are vulnerable periods in health care that can expose patients to preventable errors due to incomplete or delayed communication between health care providers. Transitioning critically ill patients from intensive care units (ICUs) to other patient care units (PCUs) is particularly risky, due to the high acuity of the patients and the diversity of health care providers involved in their care. Instituting structured documentation to standardize written communication between health care providers during transitions has been identified as a promising means to reduce communication breakdowns. We developed an evidence-informed, computer-enabled, ICU-specific structured tool—an electronic transfer (e-transfer) tool—to facilitate and standardize the composition of written transfer summaries in the ICUs of one Canadian city. The tool consisted of 10 primary sections with a user interface combination of structured, automated, and free-text fields. OBJECTIVE Our overarching goal is to evaluate whether implementation of our e-transfer tool will improve the completeness and timeliness of transfer summaries and streamline communications between health care providers during high-risk transitions. METHODS This study is a cluster-specific pre-post trial, with randomized and staggered implementation of the e-transfer tool in four hospitals in Calgary, Alberta. Hospitals (ie, clusters) were allocated randomly to cross over every 2 months from control (ie, dictation only) to intervention (ie, e-transfer tool). Implementation at each site was facilitated with user education, point-of-care support, and audit and feedback. We will compare transfer summaries randomly sampled over 6 months postimplementation to summaries randomly sampled over 6 months preimplementation. The primary outcome will be a binary composite measure of the timeliness and completeness of transfer summaries. Secondary measures will include overall completeness, timeliness, and provider ratings of transfer summaries; hospital and ICU lengths of stay; and post-ICU patient outcomes, including ICU readmission, adverse events, cardiac arrest, rapid response team activation, and mortality. We will use descriptive statistics (ie, medians and means) to describe demographic characteristics. The primary outcome will be compared within each hospital pre- and postimplementation using separate logistic regression models for each hospital, with adjustment for patient characteristics. RESULTS Participating hospitals were cluster randomized to the intervention between July 2018 and January 2019. Preliminary extraction of ICU patient admission lists was completed in September 2019. We anticipate that evaluation data collection will be completed by early 2021, with first results ready for publication in spring or summer 2021. CONCLUSIONS This study will report the impact of implementing an evidence-informed, computer-enabled, ICU-specific structured transfer tool on communication and preventable medical errors among patients transferred from the ICU to other hospital care units. CLINICALTRIAL ClinicalTrials.gov NCT03590002; https://www.clinicaltrials.gov/ct2/show/NCT03590002 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18675


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 7040-7040
Author(s):  
Dennis A. Revicki ◽  
David L. Grinblatt ◽  
Rami S. Komrokji ◽  
Guillermo Garcia-Manero ◽  
Michael R. Savona ◽  
...  

7040 Background: At diagnosis, disease risk and transfusion burden (TB) can impact HRQoL in pts with MDS. The impact of disease status and higher transfusion requirements on HRQoL has not been well studied. We used data from the Connect Myeloid Disease Registry, an ongoing, prospective, observational cohort study that includes adult pts with lower-risk (LR) and higher-risk (HR) MDS, to investigate factors influencing baseline (BL) and subsequent HRQoL. Methods: BL and Month 6 (M6) data from pts enrolled from Dec 12, 2013 to Mar 6, 2020 (data cutoff) were analyzed. Pts were stratified by International Prognostic Scoring System (IPSS) risk (LR, HR), treatment (Tx) within 45 days post-enrollment (no Tx, best supportive care [BSC], active Tx), and TB 16 weeks post-BL (non-transfusion dependent [NTD], low TB [LTB]; 1−3 transfusions, high TB [HTB]: ≥4 transfusions). Pts completed EQ-5D, FACT-An trial outcome index (TOI), and FACT-Fatigue (FACT-F) questionnaires at BL and quarterly thereafter. Clinically meaningful change, based on minimally important differences, was defined as a change of ±0.07 for EQ-5D, ±6 for FACT-An TOI, and ±3 for FACT-F. Results: At data cutoff, 830 (489 LR, 341 HR) pts were enrolled. Median age was 74 years. 278 pts received no initial Tx, 161 BSC, and 378 active Tx. At BL, 470 were NTD, 197 LTB, and 163 HTB. Of 670 pts still on-study at M6, 462 completed the questionnaires at both BL and M6. At BL , clinically meaningful differences were observed in FACT-An TOI and FACT-F scores, but not EQ-5D, between LR- and HR-MDS and the Tx subgroups . From BL to M6, no clinically meaningful changes were observed in mean scores for each questionnaire. For the TB subgroups, meaningful differences were observed at BL in FACT-An TOI and FACT-F scores, but not EQ-5D (Table). From BL to M6, meaningful decreases in scores were reported by 26%, 30%, and 35% of NTD, LTB, and HTB pts in EQ-5D, 41%, 43%, and 48% for FACT-An TOI, and 40%, 42%, and 48% for FACT-F; increases were reported by 19%, 19%, and 20% pts for EQ-5D, 31%, 32%, and 39% for FACT-An TOI, and 30%, 39%, and 40% for FACT-F. Conclusions: This preliminary analysis suggests that pts with HR-MDS, and transfusion-dependent pts, generally had worse HRQoL at BL, providing further support to initiating active Tx in pts with TB. Possible limitations of the analysis are lower completion rates in pts with more severe disease, and EQ-5D may not capture changes in these subgroups at M6. A longer follow-up may help delineate the impact of Tx on HRQoL assessments in pts with MDS. Clinical trial information: NCT01688011. [Table: see text]


Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Mohammed El-Mowafy ◽  
Abdelaziz Elgaml ◽  
Mohamed El-Mesery ◽  
Salma Sultan ◽  
Tamer A. E. Ahmed ◽  
...  

The gut–liver-axis is a bidirectional coordination between the gut, including microbial residents, the gut microbiota, from one side and the liver on the other side. Any disturbance in this crosstalk may lead to a disease status that impacts the functionality of both the gut and the liver. A major cause of liver disorders is hepatitis C virus (HCV) infection that has been illustrated to be associated with gut microbiota dysbiosis at different stages of the disease progression. This dysbiosis may start a cycle of inflammation and metabolic disturbance that impacts the gut and liver health and contributes to the disease progression. This review discusses the latest literature addressing this interplay between the gut microbiota and the liver in HCV infection from both directions. Additionally, we highlight the contribution of gut microbiota to the metabolism of antivirals used in HCV treatment regimens and the impact of these medications on the microbiota composition. This review sheds light on the potential of the gut microbiota manipulation as an alternative therapeutic approach to control the liver complications post HCV infection.


2018 ◽  
Author(s):  
Ruijun Zhang ◽  
Jing Li ◽  
Jiali Chen ◽  
Xiaomei Chen ◽  
Xue Li ◽  
...  

AbstractObjectiveInfections have been implicated in rheumatoid arthritis (RA) development. However, the impact of premorbid infection on initiation and perpetuation of RA has not been well elucidated. Thus, we sought to conduct a large scale on-site survey to study whether premorbid infection may trigger RA and influence status of the disease.MethodsPremorbid infectious events were collected in cohort of 902 RA patients from December 2015 to June 2016. Type of infections prior to RA onset and its possible effects on disease status were analyzed.ResultThree hundred and thirty-four out of 902 patients (37.03%) experienced infections within one month preceding RA onset. The most frequent infections were respiratory (16.08%), intestinal (11.09%) and urinary tract (9.87%) infection, respectively. The infection was associated with increased disease activity. Early onset was found in patients with urinary infection. High disease activity risk was increased in patients who pre-exposure to urinary infection (OR=3.813, 95%CI=1.717-12.418) and upper respiratory infection (OR=2.475, 95%CI= 0.971-6.312).ConclusionPre-exposure infections are associated with development of RA. Severe disease status of RA and persistent of active disease status are related to preceding infections.


2020 ◽  
Vol 55 (1) ◽  
pp. 15-24
Author(s):  
Michaelia D. Cucci ◽  
Brittany S. Cunningham ◽  
Jaimini S. Patel ◽  
Alan T. Shimer ◽  
Dania I. Mofleh ◽  
...  

Background: Approximately 17% of intensive care unit (ICU) patients are prescribed at least 1 home neuropsychiatric medication (NPM). When abruptly discontinued, withdrawal symptoms may occur manifesting as agitation or delirium in the ICU setting. Objective: To evaluate the impact of early reinitiation of NPMs. Methods: This was a retrospective, observational cohort of adult ICU patients in a tertiary care hospital. Patients were included if admitted to the ICU and prescribed a NPM prior to arrival. Study groups were based on the timing of reinitiation of at least 50% of NPMs: ≤72 hours (early group) versus >72 hours (late group). Results: The primary outcome was the proportion of patients with at least 1 agitation or delirium episode in the first 72 hours. Agitation and delirium were defined as at least 1 RASS assessment between +2 to +4 and a positive CAM-ICU assessment, respectively. A total of 300 patients were included, with 187 (62%) and 113 (38%) in the early and late groups, respectively. There was no difference in agitation or delirium (late 54 [48%] vs early 62 [33%]; adjusted odds ratio [aOR] = 1.5; 95% CI = 0.8-2.8; P = 0.193). Independent risk factors found to be associated with the primary outcome were restraints (aOR = 12.9; 95% CI = 6.9-24.0; P < 0.001) and benzodiazepines (BZDs; aOR = 2.0; 95% CI = 1.0-3.7; P = 0.038). Conclusions: After adjustment for baseline differences, there was no difference in agitation or delirium. Independent risk factors were restraint use and newly initiated BZDs.


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