Mechanical Ventilation and Death During Pregnancy Complicated by COVID-19: A Prognostic Analysis from the Brazilian COVID-19 Registry Score

Abstract Background: Assessing predictors of critical outcomes in COVID-19 may advise timely treatments and better prepare facilities to overcome extra adversities during pregnancy. However, many clinical parameters of existent scores are deeply modified by physiologic adaptations. Our aim was to assess the feasibility of a prognosis score developed for general hospitalized adults with COVID-19 in Brazil to predict clinical adverse outcomes in pregnant women upon hospital admission.Methods: This is a multicenter retrospective substudy of the Brazilian COVID-19 Registry, a multicenter cohort analysis in Brazilian hospitals, which provided an accurate score to predict in-hospital death. The present analysis assessed the performance of this model, ABC2-SPH, based on data of 3978 patients, to assess poor clinical outcomes in data from 85 pregnant women admitted due to COVID-19 from March 1, 2020, to May 5, 2021, in 19 Brazilian hospitals. The primary outcomes were death and the composite mechanical ventilation or death, and secondary were pregnancy outcomes and severe/critical Covid-19. The overall discrimination of the model was presented as the area under the receiver operating characteristic curve (AUROC).Results: Thirty-one (36.5%) pregnant women had critical or severe COVID-19. Most of them had no previous comorbidities (64.7%). The median gestational age was 31.0 (26.0, 36.2) weeks; 38 (44.7%) women gave birth during hospitalization by Covid-19, most of them by C-section (76.3%). The need for mechanical ventilation or death occurred in 14 (17.3%) pregnant women. Severe and critical COVID-19 in pregnant women was associated with diabetes, inflammatory markers, and abnormal vital signals observed at admission. The model was not able to identify adverse clinical outcomes. The AUROC of predicting severe/critical Covid-19 illness was 0.595 (95% CI: 0.424-0.754); AUROC of the inpatient death discrimination was 0.683 (95% CI: 0.293-0.945), as the AUROC of mechanical ventilation or death discrimination was 0.591 (95% CI: 0.434-0.75).Conclusions: The model ABC2-SPH developed in Brazilian general patients was not able to identify adverse clinical outcomes in pregnant women with COVID-19. We warn against the use of general inpatients COVID-19 prognosis in pregnant women. A more useful model for clinical prognosis is necessary concerning the specificities of pregnancy affected by COVID-19.

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Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

BMC Infectious Diseases ◽

10.1186/s12879-021-05796-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Zhi-Yong Zeng ◽

Shao-Dan Feng ◽

Gong-Ping Chen ◽

Jiang-Nan Wu

Keyword(s):

Cohort Study ◽

Hospital Admission ◽

Clinical Outcomes ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Characteristic Curve ◽

Adverse Outcomes ◽

Neutrophil To Lymphocyte Ratio ◽

Predictive Values ◽

Lymphocyte Ratio

Abstract Background Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources. Objective To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death). Methods We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment. Results During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

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Clinical evaluation of pregnant women with SARS-COV2 pneumonia: a real-life study from Egypt

Journal of Egyptian Public Health Association ◽

10.1186/s42506-021-00092-z ◽

2021 ◽

Vol 96 (1) ◽

Author(s):

Samy Zaky ◽

Hossam Hosny ◽

Gehan Elassal ◽

Noha Asem ◽

Amin Abdel Baki ◽

...

Keyword(s):

Mechanical Ventilation ◽

Cohort Study ◽

Pregnant Women ◽

Clinical Outcomes ◽

Clinical Evaluation ◽

Real Life ◽

Life Study ◽

Significant Difference ◽

Real Life Study ◽

Special Category

Abstract Background Knowledge about the outcome of COVID-19 on pregnant women is so important. The published literature on the outcomes of pregnant women with COVID-19 is confusing. The aim of this study was to report our clinical experience about the effect of COVID-19 on pregnant women and to determine whether it was associated with increased mortality or an increase in the need for mechanical ventilation in this special category of patients. Methods This was a cohort study from some isolation hospitals of the Ministry of Health and Population, in eleven governorates, Egypt. The clinical data from the first 64 pregnant women with COVID-19 whose care was managed at some of the Egyptian hospitals from 14 March to 14 June 2020 as well as 114 non-pregnant women with COVID-19 was reviewed. Results The two groups did not show any significant difference regarding the main outcomes of the disease. Two cases in each group needed mechanical ventilation (p 0.617). Three cases (4.7%) died among the pregnant women and two (1.8%) died among the non-pregnant women (p 0.352). Conclusions The main clinical outcomes of COVID-19 were not different between pregnant and non-pregnant women with COVID-19. Based on our findings, pregnancy did not exacerbate the course or mortality of COVID-19 pneumonia.

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Evaluation of N/LP Ratio as a Predictor of Disease Progression and Mortality in COVID-19 Patients Admitted to the Intensive Care Unit

Medeniyet Medical Journal ◽

10.5222/mmj.2021.95676 ◽

2021 ◽

Author(s):

Başak Çakır Güney ◽

Mert Hayıroğlu ◽

Didar Şenocak ◽

Vedat Çiçek ◽

Tufan Çınar ◽

...

Keyword(s):

Intensive Care Unit ◽

Mechanical Ventilation ◽

Intensive Care ◽

Operating Characteristic ◽

Characteristic Curve ◽

Multivariable Analysis ◽

Hospital Death ◽

Survival Status ◽

Inflammatory Index ◽

Icu Stay

Objective: This research aimed to evaluate whether the neutrophil to lymphocyte and platelet (N/LP) ratio may be used to predict the risk of admission to the intensive care unit (ICU), the need for mechanical ventilation and in-hospital mortality in Coronavirus disease 2019 (COVID-19) cases. Methods: The study was conducted retrospectively on the data of 134 COVID-19 patients who were admitted to the ICU. The N/LP ratio was calculated as follows: neutrophil count x 100 / (lymphocyte count x platelet count). Each member of the research cohort was categorised into 1 of 2 groups based on their survival status (survivor and non-survivor groups). Results: In total, 82 (61%) patients died during the ICU stay. Patients who required mechanical ventilation and died in the ICU stay had significantly higher N/LP ratio than those who did not require it and survived [10 (IQR=4.94-19.38) vs 2.51 (IQR=1.67-5.49), p<0.001] and [11.27 (IQR=4.53-30.02) vs 1.65 (IQR=1-3.24), p<0.001], respectively. The N/LP ratio was linked with the requirement of mechanical ventilation and in-hospital death according to multivariable analysis. In receiver operating characteristic curve analysis, we found that N/LP in predicting admission to the ICU was >4.18 with 61% sensitivity and 62% specificity, it was >5.07 with 74% sensitivity and 73% specificity for the need for mechanical ventilation, and >3.69 with 81% sensitivity and 81% specificity to predict in-hospital death. Conclusion: To our knowledge, this is the first study showing that the N/LP ratio, which is a novel and widely applicable inflammatory index, may be used to predict the risk of ICU admission, mechanical ventilation and in-hospital death in patients with COVID-19 disease.

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Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

10.21203/rs.3.rs-47856/v3 ◽

2021 ◽

Author(s):

Zhi-Yong Zeng ◽

Shao-Dan Feng ◽

Gong-Ping Chen ◽

Jiang-Nan Wu

Keyword(s):

Cohort Study ◽

Hospital Admission ◽

Clinical Outcomes ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Characteristic Curve ◽

Adverse Outcomes ◽

Neutrophil To Lymphocyte Ratio ◽

Predictive Values ◽

Lymphocyte Ratio

Abstract Background: Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources.Objective: To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death).Methods: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment.Results: During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P <0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P <0.001; death vs. survival: 7.19 vs. 2.25, P <0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively.Conclusions: The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

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Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

10.21203/rs.3.rs-47856/v2 ◽

2020 ◽

Author(s):

Zhi-Yong Zeng ◽

Shao-Dan Feng ◽

Gong-Ping Chen ◽

Jiang-Nan Wu

Keyword(s):

Cohort Study ◽

Hospital Admission ◽

Clinical Outcomes ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Characteristic Curve ◽

Adverse Outcomes ◽

Neutrophil To Lymphocyte Ratio ◽

Predictive Values ◽

Lymphocyte Ratio

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Chronic Hemodialysis Patients Hospitalized with COVID-19: Short-term Outcomes in the Bronx, New York

Kidney360 ◽

10.34067/kid.0003672020 ◽

2020 ◽

Vol 1 (8) ◽

pp. 755-762 ◽

Cited By ~ 10

Author(s):

Molly Fisher ◽

Milagros Yunes ◽

Michele H. Mokrzycki ◽

Ladan Golestaneh ◽

Emad Alahiri ◽

...

Keyword(s):

New York ◽

Mechanical Ventilation ◽

Clinical Characteristics ◽

Laboratory Data ◽

Nursing Home Residents ◽

Chronic Hemodialysis ◽

Adverse Outcomes ◽

Hospital Death ◽

Short Term ◽

Increased Risk

BackgroundPatients with ESKD who are on chronic hemodialysis have a high burden of comorbidities that may place them at increased risk for adverse outcomes when hospitalized with COVID-19. However, data in this unique patient population are limited. The aim of our study is to describe the clinical characteristics and short-term outcomes in patients on chronic hemodialysis who require hospitalization for COVID-19.MethodsWe performed a retrospective study of 114 patients on chronic hemodialysis who were hospitalized with COVID-19 at two major hospitals in the Bronx from March 9 to April 8, 2020 during the surge of SARS-CoV-2 infections in New York City. Patients were followed during their hospitalization through April 22, 2020. Comparisons in clinical characteristics and laboratory data were made between those who survived and those who experienced in-hospital death; short-term outcomes were reported.ResultsMedian age was 64.5 years, 61% were men, and 89% were black or Hispanic. A total of 102 (90%) patients had hypertension, 76 (67%) had diabetes mellitus, 63 (55%) had cardiovascular disease, and 30% were nursing-home residents. Intensive care unit (ICU) admission was required in 13% of patients, and 17% required mechanical ventilation. In-hospital death occurred in 28% of the cohort, 87% of those requiring ICU, and nearly 100% of those requiring mechanical ventilation. A large number of in-hospital cardiac arrests were observed. Initial procalcitonin, ferritin, lactate dehydrogenase, C-reactive protein, and lymphocyte percentage were associated with in-hospital death.ConclusionsShort-term mortality in patients on chronic hemodialysis who were hospitalized with COVID-19 was high. Outcomes in those requiring ICU and mechanical ventilation were poor, underscoring the importance of end-of-life discussions in patients with ESKD who are hospitalized with severe COVID-19 and the need for heightened awareness of acute cardiac events in the setting of COVID-19. Elevated inflammatory markers were associated with in-hospital death in patients with ESKD who were hospitalized with COVID-19.

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Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease

European Respiratory Journal ◽

10.1183/13993003.04133-2020 ◽

2021 ◽

pp. 2004133 ◽

Cited By ~ 1

Author(s):

Michael F. Morris ◽

Yash Pershad ◽

Paul Kang ◽

Lauren Ridenour ◽

Ben Lavon ◽

...

Keyword(s):

Medical Care ◽

Clinical Outcomes ◽

Operating Characteristic ◽

Characteristic Curve ◽

Vascular Inflammation ◽

Adverse Outcomes ◽

Volume Distribution ◽

Cross Sectional ◽

Blood Volume Distribution ◽

Acute Medical Care

BackgroundEvidence suggests that vascular inflammation and thrombosis may be important drivers of poor clinical outcomes in patients with COVID-19. We hypothesized that a significant decrease in the percentage of blood vessels with a cross-sectional area between 1.25–5 mm2 (BV5%) on chest computed tomography (CT) in COVID-19 patients is predictive of adverse clinical outcomes.MethodsRetrospective analysis of chest CT scans from 10 hospitals across two state in 313 COVID-19 positive and 195 COVID-19 negative patients seeking acute medical care.ResultsBV5% was predictive of outcomes in COVID-19 patients in a multivariate model, with a BV5% threshold below 25% associated with an odds ratio (OR) 5.58 for death, OR 3.20 for intubation, and OR 2.54 for the composite of death or intubation. A model using age and BV5% had an area under the receiver operating characteristic curve 0.85 to predict the composite of intubation or death in COVID-19 patients. BV5% was not predictive of clinical outcomes in patients without COVID-19.ConclusionThis data suggests BV5% as a novel biomarker for predicting adverse outcomes in patients with COVID-19 seeking acute medical care.

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An External Validation Study of the Oakland and Glasgow-Blatchford Scores for Predicting Adverse Outcomes of Acute Lower Gastrointestinal Bleeding in an Asian Population

Gastroenterology Research and Practice ◽

10.1155/2021/8674367 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Duc Trong Quach ◽

Uyen Pham-Phuong Vo ◽

Nguyet Thi-My Nguyen ◽

Ly Thi-Kim Le ◽

Minh-Cong Hong Vo ◽

...

Keyword(s):

Blood Transfusion ◽

Gastrointestinal Bleeding ◽

Characteristic Curve ◽

External Validation ◽

Lower Gastrointestinal Bleeding ◽

Adverse Outcomes ◽

Hospital Death ◽

Severe Bleeding ◽

Multicenter Cohort Study ◽

Comparable Performance

Aims. This study is aimed at (1) validating the performance of Oakland and Glasgow-Blatchford (GBS) scores and (2) comparing these scores with the SALGIB score in predicting adverse outcomes of acute lower gastrointestinal bleeding (ALGIB) in a Vietnamese population. Methods. A multicenter cohort study was conducted on ALGIB patients admitted to seven hospitals across Vietnam. The adverse outcomes of ALGIB consisted of blood transfusion; endoscopic, radiologic, or surgical interventions; severe bleeding; and in-hospital death. The Oakland and GBS scores were calculated, and their performance was compared with that of SALGIB, a locally developed prediction score for adverse outcomes of ALGIB in Vietnamese, based on the data at admission. The accuracy of these scores was measured using the area under the receiver operating characteristic curve (AUC) and compared by the chi-squared test. Results. There were 414 patients with a median age of 60 (48–71). The rates of blood transfusion, hemostatic intervention, severe bleeding, and in-hospital death were 26.8%, 15.2%, 16.4, and 1.4%, respectively. The SALGIB score had comparable performance with the Oakland score (AUC: 0.81 and 0.81, respectively; p = 0.631 ) and outperformed the GBS score (AUC: 0.81 and 0.76, respectively; p = 0.002 ) for predicting the presence of any adverse outcomes of ALGIB. All of the three scores had acceptable and comparable performance for in-hospital death but poor performance for hemostatic intervention. The Oakland score had the best performance for predicting severe bleeding. Conclusions. The Oakland and SALGIB scores had excellent and comparable performance and outperformed the GBS score for predicting adverse outcomes of ALGIB in Vietnamese.

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Abstract 9381: Comparison of Clinical Characteristics and Adverse Outcomes in Pregnant Women with Cardiomyopathy Subtypes at the Time of Delivery in the US: 2006-2010

Circulation ◽

10.1161/circ.130.suppl_2.9381 ◽

2014 ◽

Vol 130 (suppl_2) ◽

Author(s):

Fabio V Lima ◽

Puja B Parikh ◽

Jiawen Zhu ◽

Jie Yang ◽

Kathleen Stergiopoulos

Keyword(s):

Heart Failure ◽

Pregnant Women ◽

Teaching Hospital ◽

Clinical Characteristics ◽

Hospital Admissions ◽

Multivariable Analysis ◽

Patient Characteristics ◽

Adverse Outcomes ◽

Hospital Death ◽

Cerebrovascular Event

Introduction: Investigation of patient characteristics and outcomes in women with cardiomyopathy (CDM) at the time of delivery has been limited. The aim of this study was to determine the clinical characteristics and outcomes in women with peripartum (PCDM) and hypertrophic cardiomyopathy (HCDM), and the predictors for adverse clinical outcomes in pregnant women at the time of delivery. Methods and Results: The Healthcare Cost and Utilization Project’s National Inpatient Sample was screened for hospital admissions for delivery in pregnant women with CDM subtypes (peripartum, hypertrophic and all others) from 2006-2010. Clinical characteristics and maternal outcomes were identified in women with subtypes of CDM and without. The primary outcome of interest was major adverse clinical events (MACE), a composite of in-hospital death, acute myocardial infarction, heart failure, arrhythmia, cerebrovascular event, or embolic event. Our study population consisted of 2,078 patients with CDM and 4,438,439 patients without CDM. Of those with CDM, 52 (2.5%) had HCDM, 1039 (50.0%) had PCDM, and 987 (47.5%) were classified as other CDM (OCDM). PCDM cohort was more likely to be insured by Medicaid and the HCDM patients were more likely to deliver at a teaching hospital (p<0.01 for all). The PCDM and all OCDM cohorts had a larger proportion of black patients and most were from the South. PCDM patients experienced the highest rates of MACE (46%), compared with HCDM (23%) or OCDM (38.9%), mainly driven by heart failure and arrhythmia. Maternal mortality in all CDM subgroups was extremely low (< 0.5%). Significant predictors of MACE in the PCDM cohort were the presence of valvular heart disease (OR 2.16, 95% CI 1.49-3.14), severe pre-eclampsia (OR 1.54, 95% CI: 1.08-2.21), and Cesarean delivery (OR 1.36, 95% CI: 1.04-1.78); delivery at a teaching hospital was associated with a reduction in MACE. In multivariable analysis, the presence of PCDM (OR 2.22, 95% CI 1.07-4.55) was independently predictive of MACE. Conclusions: Peripartum CDM patients had the highest likelihood of MACE compared to hypertrophic and all other CDM subtypes.

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Prognostic Value of Serial Brain Natriuretic Peptide Measurements in Patients with Acute Myocardial Infarction

Cardiology ◽

10.1159/000375398 ◽

2015 ◽

Vol 131 (2) ◽

pp. 116-121 ◽

Cited By ~ 5

Author(s):

Antonio E.P. Pesaro ◽

Marcelo Katz ◽

Adriano Caixeta ◽

Márcia R. Makdisse ◽

Alessandra G. Correia ◽

...

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Natriuretic Peptide ◽

Prognostic Value ◽

Characteristic Curve ◽

Area Under The Curve ◽

Adverse Outcomes ◽

Hospital Death ◽

Hospital Variation

Objectives: Elevated B-type natriuretic peptide (BNP) levels following acute myocardial infarction (AMI) are associated with adverse outcomes. The role of serial BNP monitoring after AMI has been poorly investigated. We aimed to evaluate the prognostic value of in-hospital serial BNP measurements in AMI patients. Methods: Patients with AMI (n = 1,924) were retrospectively evaluated. We selected patients with at least 2 in-hospital BNP measurements. The association between in-hospital mortality and BNP measurements (earliest, highest follow-up and the variation between measurements) were tested in multivariate models. Results: Serial BNP levels were determined in 176 patients. Compared to the rest of the population, these patients were older and had higher mortality rates. In the adjusted models, only the highest follow-up BNP remained associated with in-hospital death (odds ratio 1.06; 95% confidence interval, CI, 1.01-1.15; p = 0.014). Receiver-operating characteristic curve analysis demonstrated that the highest follow-up BNP was the best predictor of in-hospital death (area under the curve = 0.75; 95% CI 0.64-0.86). Conclusions: Serial BNP monitoring was performed in a high-risk subgroup of AMI patients. The highest follow-up BNP was a better predictor of short-term death than the baseline and in-hospital variation values. In AMI patients, a later in-hospital BNP assessment may be more useful than an early measurement.

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