Outcomes of Hospitalized Patients With COVID-19 With Acute Kidney Injury and Acute Cardiac Injury

Incidence and risk factors of new clinical disorders in patients with COVID-19 hyperinflammatory syndrome

This study investigated new incident clinical disorders in patients with COVID-19-related hyperinflammatory syndrome (cHIS) 3.5 years post infection. We analyzed 14,335 patients hospitalized with COVID-19 from March-2020 to July-2023. cHIS was defined based on a point system that included elevated body temperature, macrophage activation, hematological dysfunction, coagulopathy, and hepatic enzyme. Outcomes were newly diagnosed disorders of hypertension, diabetes, cardiovascular diseases, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), and asthma post COVID-19. Cumulative incidences and hazard ratios were computed. Compared to non-cHIS patients, cHIS patients were older, fewer female, more Blacks, higher prevalence of pre-existing comorbidities. Patients with cHIS had higher risk of developing cardiovascular disease (HR = 1.24 [1.04,1.47] p < 0.05), CKD (1.24 [1.01, 1.53] p < 0.05), and obesity (1.61 [1.31,1.98], p < 0.001) but not hypertension, diabetes, COPD, and asthma. Cumulative incidence analysis showed that patients ≥ 50 years old showed markedly higher new incidences of individual new disorders compared to patients < 50 years old. COVID-19 related hyperinflammatory syndrome confers a significantly higher risk for developing new common clinical disorders. Identifying risks for developing new clinical disorders in patients with COVID-19 related hyperinflammatory syndrome may encourage diligent follow-up of high-risk individuals.

Long-term outcomes of patients with pre-existing coronary artery disease after SARS-CoV-2 infection

BACKGROUND

The long-term outcomes of patients with pre-existing coronary artery disease (CAD) after SARS-CoV-2 infection are unknown.

METHODS

Patients with pre-existing CAD were classified as COVID+ or COVID- based on the polymerase-chain-reaction test in the Montefiore Health System between March 11, 2020, and January 12, 2024. The final cohorts comprised 1380 hospitalised with COVID-19, 1702 non-hospitalised with COVID-19, 7264 contemporary COVID- controls, and 8492 historical controls (January 1, 2016-December 31, 2019). Primary outcomes were all-cause mortality, new-onset congestive heart failure (CHF), myocardial infarction (MI), stroke, and major adverse cardiovascular events (MACE). Cox and Fine-Gray regression models with multivariate adjustment, propensity matching, and inverse probability weighting were applied. Outcomes were also analysed with respect to inflammatory and haematologic biomarkers obtained during acute infection.

FINDINGS

Compared to contemporary controls, patients hospitalised with COVID-19, but not patients not hospitalised with COVID-19, had higher future risk of MACE (adjusted HR = 1.58 [1.38, 1.80]), mortality, CHF, MI, and stroke up to four years post-infection (p < 0.05). Analysis using propensity-score matching and inverse probability weighting corroborated the results of multivariate regression. Sensitivity analyses using historical controls and a cohort without excluding early death or loss to follow-up showed consistent results. Among patients hospitalised for COVID-19, elevated neutrophil-to-lymphocyte ratio, ferritin, D-dimer, creatinine, low haemoglobin, and abnormal platelets were associated with increased risk for MACE.

INTERPRETATION

Severe COVID-19 is associated with long-term cardiovascular risk in patients with pre-existing CAD. Abnormal biomarkers during acute infection were associated with increased risk for MACE. These findings underscore the need for monitoring for cardiovascular risk in patients with pre-existing CAD.

FUNDING

None.

New-onset conjunctivitis 3.5 years post SARS-CoV-2 infection in an inner-city population in the Bronx

BACKGROUND

A few studies have reported conjunctivitis is a complication associated with acute COVID-19. It is unknown whether SARS-CoV-2 infection increases the risk of conjunctivitis post-COVID-19 long term.

OBJECTIVES

This study investigated the incidence of new-onset conjunctivitis 3.5 years post SARS-CoV-2 infection and compared it with patients without SARS-CoV-2 infection.

METHODS

This retrospective study consisted of 67 702 patients who tested positive for COVID-19 (defined by a positive PCR test), and 1 391 135 COVID-19-negative patients with no prior records of conjunctivitis in the Montefiore Health System from 11 March 2020 to 31 December 2022. The study included adult patients re-presenting to our centre with conjunctivitis. Outcome was new conjunctivitis between 14 days and 3.5 years post index date. Analysis was performed with unmatched and matched cohorts. Matching was done for age, sex, race and ethnicity. Cumulative incidence and hazard ratio (HR) with and without adjustment for competitive risks were analysed.

RESULTS

There were 1154 (2.27%) individuals with COVID-19 and contemporary 13 899 (1.57%) controls who developed new conjunctivitis. COVID-19-positive patients had a significantly higher risk of developing new incident conjunctivitis (unmatched cohort adjusted HR 1.11 (95% CI 1.04 to 1.17), matched cohort adjusted HR 1.10 (95% CI 1.02 to 1.16)) compared with COVID-19-negative patients.

CONCLUSIONS

COVID-19-positive patients had significantly higher risk of developing new conjunctivitis compared with contemporary COVID-19-negative controls. Identifying risk factors for developing new-onset conjunctivitis may draw clinical attention for careful follow-up in at-risk individuals for ocular infections.

Long term outcomes of patients with chronic kidney disease after COVID-19 in an urban population in the Bronx

We investigated the long-term kidney and cardiovascular outcomes of patients with chronic kidney disease (CKD) after COVID-19. Our retrospective cohort consisted of 834 CKD patients with COVID-19 and 6,167 CKD patients without COVID-19 between 3/11/2020 to 7/1/2023. Multivariate competing risk regression models were used to estimate risk (as adjusted hazard ratios (aHR) with 95% confidence intervals (CI)) of CKD progression to a more advanced stage (Stage 4 or 5) and major adverse kidney events (MAKE), and risk of major adverse cardiovascular events (MACE) at 6-, 12-, and 24-month follow up. Hospitalized COVID-19 patients at 12 and 24 months (aHR 1.62 95% CI[1.24,2.13] and 1.76 [1.30, 2.40], respectively), but not non-hospitalized COVID-19 patients, were at higher risk of CKD progression compared to those without COVID-19. Both hospitalized and non-hospitalized COVID-19 patients were at higher risk of MAKE at 6-, 12- and 24-months compared to those without COVID-19. Hospitalized COVID-19 patients at 6-, 12- and 24-months (aHR 1.73 [1.21, 2.50], 1.77 [1.34, 2.33], and 1.31 [1.05, 1.64], respectively), but not non-hospitalized COVID-19 patients, were at higher risk of MACE compared to those without COVID-19. COVID-19 increases the risk of long-term CKD progression and cardiovascular events in patients with CKD. These findings highlight the need for close follow up care and therapies that slow CKD progression in this high-risk subgroup.

Understanding COVID-19-related Acute Renal Injury in Elderly Individuals: Preexisting Systemic Inflammation before COVID-19 (SIC)

In this study, we examined preexisting systemic inflammation before COVID-19 (SIC), as assessed through C-reactive protein (CRP) levels, to gain insights into the origins of acute kidney injury (AKI) in adults with comorbidities affected by COVID-19. Although aging is not categorized as a disease, it is characterized by chronic inflammation, and older individuals typically exhibit higher circulating levels of inflammatory molecules, particularly CRP, compared to younger individuals. Conversely, elevated CRP concentrations in older adults have been linked with the development of comorbidities. Simultaneously, these comorbidities contribute to the production of inflammatory molecules, including CRP. Consequently, older adults with comorbidities have higher CRP concentrations than their counterparts without comorbidities or those with fewer comorbidities. Given that CRP levels are correlated with the development and severity of AKI in non-COVID-19 patients, we hypothesized that individuals with greater SIC are more likely to develop AKI during SARS-CoV-2 infection than those with less SIC.

Long COVID-19 outcomes of patients with pre-existing dementia

BACKGROUND

Although COVID-19 has been linked to worse acute outcomes in patients with some neurodegenerative disorders, its long-term impact on dementia remains unclear.

OBJECTIVE

To investigate the outcomes of COVID-19 survivors with dementia.

METHODS

This retrospective study evaluated 9806 patients with dementia in the Montefiore Health System (January 2016 to July 2023). Comparisons were made between dementia patients with and without a positive SARS-CoV-2 polymerase-chain-reaction test who had a follow-up at least two weeks post-infection. Outcomes included all-cause mortality, major adverse cardiovascular events (MACE), new-onset dysphagia, dyspnea, fatigue, new-onset sleep disturbances, altered mental status, first-time fall, headache, new-onset depression, and new-onset anxiety. Adjusted hazard ratios (aHR) were computed adjusting for age, sex, race, ethnicity, and pre-existing comorbidities.

RESULTS

Dementia patients with COVID-19 were younger, more likely to be male, and had a higher prevalence of major pre-existing comorbidities compared to those without COVID-19. Patients who survived acute COVID-19 were more likely to die than non-COVID controls after adjusting for covariates (aHR = 1.65 [1.43, 1.91]). COVID-19 was significantly associated with higher risk of MACE (aHR = 1.58 [1.41, 1.78]), new-onset dysphagia (aHR = 1.64 [1.42, 1.91]), dyspnea (aHR = 1.27 [1.12, 1.44]), fatigue (aHR = 1.42 [1.22, 1.65]), new-onset sleep disturbances (aHR = 1.36 [1.15, 1.60]), altered mental status (aHR = 1.36 [1.16, 1.59]), and first-time fall (aHR = 1.34 [1.09, 1.65]).

CONCLUSIONS

COVID-19 increases the risk of mortality and other adverse health outcomes in dementia patients. These findings highlight the need for closer follow-up and management strategies for dementia patients post-COVID-19.

New-onset gastrointestinal disorders in COVID-19 patients 3.5 years post-infection in the inner-city population in the Bronx

This study examined the incidence, characteristics, and risk factors of new gastrointestinal disorders (GID) associated with SARS-CoV-2 infection up to 3.5 years post-infection. This retrospective study included 35,102 COVID-19 patients and 682,594 contemporary non-COVID-19 patients without past medical history of GID (controls) from the Montefiore Health System in the Bronx (3/1/2020 to 7/31/2023). Comparisons were made with unmatched and propensity-matched (1:2) controls. The primary outcome was new GID which included peptic ulcer, inflammatory bowel disease, irritable bowel syndrome, diverticulosis, diverticulitis, and biliary disease. Multivariate Cox proportional hazards model analysis was performed with adjustment for covariates. There were 2,228 (6.34%) COVID-19 positive patients who developed new GID compared to 38,928 (5.70%) controls. COVID-19 patients had an elevated risk of developing new GID (adjusted HR = 1.18 (95% CI 1.12-1.25) compared to propensity-matched controls, after adjusting for confounders that included smoking, obesity, diabetes, hypertension. These findings underscore the need for additional research and follow-up of at-risk individuals for developing GID post infection.

Long-Term Outcomes of Patients with Pre-Existing Essential Tremor After SARS-CoV-2 Infection

BACKGROUND/OBJECTIVES

Although COVID-19 has been linked to worse outcomes in patients with neurological disorders, its impact on those with essential tremor (ET) remains unclear. To investigate clinical outcomes of ET patients with and without COVID-19 three and a half years post-pandemic.

METHODS

1074 ET patients were evaluated in this retrospective study in the Montefiore Health System from January 2016 to July 2023. Comparisons between ET patients with and without a positive SARS-CoV-2 polymerase chain reaction test were made. Outcomes included post-index date major adverse cardiovascular events (MACEs), new-onset sleep disturbances, fatigue, dyspnea, first-time fall, new-onset anxiety, new-onset depression, headache, new-onset imbalance, new-onset mild cognitive impairment, and all-cause mortality, adjusted hazard ratios (aHR) adjusting for covariates were calculated.

RESULTS

ET patients with COVID-19 had higher prevalence of pre-existing type-2 diabetes, depression, and anxiety compared to ET patients without COVID-19. COVID-19 was significantly associated with higher risk of MACEs, (aHR = 2.39 [1.49, 3.82]), new-onset sleep disturbance, (aHR = 2.12 [1.44, 3.13]), fatigue, (aHR = 1.83 [1.27, 2.65]), dyspnea, (aHR = 1.98 [1.40, 2.80]), first-time fall, (aHR = 4.76 [2.24, 10.14]), new-onset anxiety, (aHR = 3.66 [2.02, 6.64]), and new-onset depression, (aHR = 2.38 [1.20, 4.70]). COVID-19 was not associated with all-cause mortality.

CONCLUSIONS

In patients with ET, COVID-19 significantly increases the risk of several long-term adverse health outcomes, but not mortality.

Patients with type 1 diabetes are at elevated risk of developing new hypertension, chronic kidney disease and diabetic ketoacidosis after COVID-19: Up to 40 months' follow-up

AIM

The aim was to investigate whether COVID-19 increases new incidence of hypertension (HTN), chronic kidney disease (CKD) and diabetic ketoacidosis (DKA) in patients with type 1 diabetes (T1D) up to 40 months post-infection.

MATERIALS AND METHODS

Three groups of patients from the Montefiore Health System in the Bronx (1 March 2020 to 1 July 2023) were studied: T1D patients hospitalized for COVID-19 (H-COVID-19, n = 511), T1D patients with COVID-19 but not hospitalized for COVID-19 (NH-COVID-19, n = 306) and T1D patients without a positive COVID-19 test on record (non-COVID-19, n = 1547). COVID-19 patients were those with a positive polymerase-chain-reaction test on record, and non-COVID-19 patients were either tested negative or not tested on record. Cumulative incidences and adjusted hazard ratios (aHR) with 95% confidence intervals (CI) were computed with adjustment for competing risks.

RESULTS

Compared to non-COVID-19 patients, both H-COVID-19 (unadjusted 19.72% vs. 3.14%, p < 0.001; aHR = 7.55 [3.33, 17.06], p < 0.001) and NH-COVID-19 (10.26% vs. 3.14%, p = 0.004; aHR = 5.08 [2.19, 11.78], p < 0.001) patients were more likely to develop new HTN. Compared to non-COVID-19 patients, both H-COVID-19 (11.41% vs. 1.14%, p < 0.001; aHR = 9.76 [4.248, 22.25], p < 0.001) and NH-COVID-19 (7.69% vs. 1.14%, p < 0.001; aHR = 6.54 [2.91, 14.67], p < 0.001) patients were more likely to develop new CKD. Compared to non-COVID-19 patients, both H-COVID-19 (4.09% vs. 1.06%, p < 0.001; aHR = 12.24 [4.09, 36.59], p < 0.001) and NH-COVID-19 (3.06% vs. 1.06%, p = 0.035; aHR = 12.94 [4.09, 40.89], p < 0.001) patients were more likely to develop new DKA at follow-up.

CONCLUSION

T1D patients with COVID-19 are at higher risk of developing new HTN, CKD and DKA compared to T1D patients without COVID-19.

Incidence of New-Onset Hypertension Post-COVID-19: Comparison With Influenza

BACKGROUND

SARS-CoV-2 may trigger new-onset persistent hypertension. This study investigated the incidence and risk factors associated with new-onset persistent hypertension during COVID-19 hospitalization and at ≈6-month follow-up compared with influenza.

METHODS

This retrospective observational study was conducted in a major academic health system in New York City. Participants included 45 398 patients with COVID-19 (March 2020 to August 2022) and 13 864 influenza patients (January 2018 to August 2022) without a history of hypertension.

RESULTS

At 6-month follow-up, new-onset persistent hypertension was seen in 20.6% of hospitalized patients with COVID-19 and 10.85% of nonhospitalized patients with COVID-19. Persistent hypertension incidence among hospitalized patients did not vary across the pandemic, whereas that of hospitalized patients decreased from 20% in March 2020 to ≈10% in October 2020 (R2=0.79, P=0.003) and then plateaued thereafter. Hospitalized patients with COVID-19 were 2.23 ([95% CI, 1.48-3.54]; P<0.001) times and nonhospitalized patients with COVID-19 were 1.52 ([95% CI, 1.22-1.90]; P<0.01) times more likely to develop persistent hypertension than influenza counterparts. Persistent hypertension was more common among older adults, males, Black, patients with preexisting comorbidities (chronic obstructive pulmonary disease, coronary artery disease, chronic kidney disease), and those who were treated with pressor and corticosteroid medications. Mathematical models predicted persistent hypertension with 79% to 86% accuracy. In addition, 21.0% of hospitalized patients with COVID-19 with no prior hypertension developed hypertension during COVID-19 hospitalization.

CONCLUSIONS

Incidence of new-onset persistent hypertension in patients with COVID-19 is higher than those with influenza, likely constituting a major health burden given the sheer number of patients with COVID-19. Screening at-risk patients for hypertension following COVID-19 illness may be warranted.

Long-term outcomes of COVID-19 survivors with hospital AKI: association with time to recovery from AKI

BACKGROUND

Although coronavirus disease 2019 (COVID-19) patients who develop in-hospital acute kidney injury (AKI) have worse short-term outcomes, their long-term outcomes have not been fully characterized. We investigated 90-day and 1-year outcomes after hospital AKI grouped by time to recovery from AKI.

METHODS

This study consisted of 3296 COVID-19 patients with hospital AKI stratified by early recovery (<48 hours), delayed recovery (2-7 days) and prolonged recovery (>7-90 days). Demographics, comorbidities and laboratory values were obtained at admission and up to the 1-year follow-up. The incidence of major adverse cardiovascular events (MACE) and major adverse kidney events (MAKE), rehospitalization, recurrent AKI and new-onset chronic kidney disease (CKD) were obtained 90-days after COVID-19 discharge.

RESULTS

The incidence of hospital AKI was 28.6%. Of the COVID-19 patients with AKI, 58.0% experienced early recovery, 14.8% delayed recovery and 27.1% prolonged recovery. Patients with a longer AKI recovery time had a higher prevalence of CKD (P < .05) and were more likely to need invasive mechanical ventilation (P < .001) and to die (P < .001). Many COVID-19 patients developed MAKE, recurrent AKI and new-onset CKD within 90 days, and these incidences were higher in the prolonged recovery group (P < .05). The incidence of MACE peaked 20-40 days postdischarge, whereas MAKE peaked 80-90 days postdischarge. Logistic regression models predicted 90-day MACE and MAKE with 82.4 ± 1.6% and 79.6 ± 2.3% accuracy, respectively.

CONCLUSION

COVID-19 survivors who developed hospital AKI are at high risk for adverse cardiovascular and kidney outcomes, especially those with longer AKI recovery times and those with a history of CKD. These patients may require long-term follow-up for cardiac and kidney complications.

Characteristics of COVID-19 patients with multiorgan injury across the pandemic in a large academic health system in the Bronx, New York

Purpose

To investigate the evolution of COVID-19 patient characteristics and multiorgan injury across the pandemic.

Methods

This retrospective cohort study consisted of 40,387 individuals tested positive for SARS-CoV-2 in the Montefiore Health System in Bronx, NY, between March 2020 and February 2022, of which 11,306 were hospitalized. Creatinine, troponin, and alanine aminotransferase were used to define acute kidney injury (AKI), acute cardiac injury (ACI) and acute liver injury, respectively. Demographics, comorbidities, emergency department visits, hospitalization, intensive care utilization, and mortality were analyzed across the pandemic.

Results

COVID-19 positive cases, emergency department visits, hospitalization and mortality rate showed four distinct waves with a large first wave in April 2020, two small (Alpha and Delta) waves, and a large Omicron wave in December 2021. Omicron was more infectious but less lethal (p = 0.05). Among hospitalized COVID-19 patients, age decreased (p = 0.014), female percentage increased (p = 0.023), Hispanic (p = 0.028) and non-Hispanic Black (p = 0.05) percentages decreased, and patients with pre-existing diabetes (p = 0.002) and hypertension (p = 0.04) decreased across the pandemic. More than half (53.1%) of hospitalized patients had major organ injury. Patients with AKI, ACI and its combinations were older, more likely males, had more comorbidities, and consisted more of non-Hispanic Black and Hispanic patients (p = 0.005). Patients with AKI and its combinations had 4-9 times higher adjusted risk of mortality than those without.

Conclusions

There were shifts in demographics toward younger age and proportionally more females with COVID-19 across the pandemic. While the overall trend showed improved clinical outcomes, a substantial number of COVID-19 patients developed multi-organ injuries over time. These findings could bring awareness to at-risk patients for long-term organ injuries and help to better inform public policy and outreach initiatives.

Increasing cardiac troponin-I level as a cardiac injury index correlates with in-hospital mortality and biofactors in severe hospitalised COVID-19 patients

BACKGROUND

Severe acute respiratory syndrome coronavirus-2 raised in 2019 (COVID-19) affects the lung tissue and other organs, specifically the heart.

METHODS

The current study evaluated 120 hospitalised patients with severe COVID-19 between March 2021 and February 2022. Patients' demographics, vital signs, electrocardiogram abnormalities, clinical laboratory tests, including troponin I (TPI), mortality, and discharge type, were recorded.

RESULTS

Among the 120 hospitalised patients with severe COVID-19, 54 (45.0%) patients were male, with an average age of 63.2 ± 1.4. Many patients have chronic comorbidities, including hypertension (51.6%), diabetes mellitus (34.1%), and ischemic heart disease (17.5%). The in-hospital and six months after the discharge mortality were 45.8% and 21.5%, respectively. Cardiac injury was observed in 14 (11.7%) patients with a mean TPI level of 8.386 ± 17.89 μg/L, and patients with cardiac injury had higher mortality than those without cardiac injury (P < 0.001). Furthermore, the cardiac injury was meaningfully correlated with age (ρ = 0.182, P = 0.019), history of ischemic heart disease (ρ = 0.176, P = 0.05), hospitalisation result and mortality (ρ = 0.261, P = 0.004), inpatient in ICU (ρ = 0.219, P = 0.016), and serum levels of urea (ρ = 0.244, P = 0.008) and creatinine (ρ = 0.197, P = 0.033). Additionally, the discharge results were significantly correlated with oxygen saturation with (ρ = -0.23, P = 0.02) and without (ρ = -0.3, P = 0.001) oxygen therapy, D-dimer (ρ = 0.328, P = 0.019), LDH (ρ = 0.308, P = 0.003), urea (ρ = 0.2, P = 0.03), and creatinine (ρ = 0.17, P = 0.06) levels.

CONCLUSION

Elevated TPI levels are associated with increased mortality in severe COVID-19 patients. Therefore, TPI may be a beneficial biofactor for early diagnosis of cardiac injury and preventing a high mortality rate.

Longitudinal medical subspecialty follow-up of critically and non-critically ill hospitalized COVID-19 survivors up to 24 months after discharge

Medical specialty usage of COVID-19 survivors after hospital discharge is poorly understood. This study investigated medical specialty usage at 1-12 and 13-24 months post-hospital discharge in critically ill and non-critically ill COVID-19 survivors. This retrospective study followed ICU (N = 89) and non-ICU (N = 205) COVID-19 survivors who returned for follow-up within the Stony Brook Health System post-hospital discharge. Follow-up data including survival, hospital readmission, ongoing symptoms, medical specialty care use, and ICU status were examined 1-12 and 13-24 months after COVID-19 discharge. "New" (not previously seen) medical specialty usage was also identified. Essentially all (98%) patients survived. Hospital readmission was 34%, but functional status scores at discharge were not associated with hospital readmission. Many patients reported ongoing [neuromuscular (50%) respiratory (39%), chronic fatigue (35%), cardiovascular (30%), gastrointestinal (28%), neurocognitive (22%), genitourinary (22%), and mood-related (13%)] symptoms at least once 1-24 months after discharge. Common specialty follow-ups included cardiology (25%), vascular medicine (17%), urology (17%), neurology (16%), and pulmonology (14%), with some associated with pre-existing comorbidities and with COVID-19. Common new specialty visits were vascular medicine (11%), pulmonology (11%), and neurology (9%). ICU patients had more symptoms and follow-ups compared to the non-ICU patients. This study reported high incidence of persistent symptoms and medical specialty care needs in hospitalized COVID-19 survivors 1-24 months post-discharge. Some specialty care needs were COVID-19 related or exacerbated by COVID-19 disease while others were associated with pre-existing medical conditions. Longer follow-up studies of COVID-19 survivor medical care needs are necessary.

Coronavirus Disease 2019 (COVID-19) Perinatal Outcomes Across the Pandemic at an Academic Medical Center in New York City

OBJECTIVE

To investigate perinatal complications associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy in the four major waves of the coronavirus disease 2019 (COVID-19) pandemic in the Bronx, New York.

METHODS

This retrospective cohort study included all patients who delivered at a single academic medical center between March 1, 2020, and February 13, 2022. SARS-CoV-2 positivity was defined as a positive SARS-CoV-2 test result during pregnancy. Primary outcomes were preterm birth, low birth weight, stillbirth, cesarean delivery, and preeclampsia associated with SARS-CoV-2 infection. Secondary analyses examined outcomes by predominant variant at the time of infection. Group differences in categorical variables were tested using χ 2 tests.

RESULTS

Of the 8,983 patients who delivered, 638 (7.1%) tested positive for SARS-CoV-2 infection during pregnancy. Age, race, ethnicity, and major comorbidities did not differ significantly between the SARS-CoV-2-positive and SARS-CoV-2-negative cohorts ( P >.05). Primary outcomes did not differ between the SARS-CoV-2-positive and SARS-CoV-2-negative cohorts ( P >.05). There was a marked increase in positive SARS-CoV-2 test results in individuals who gave birth during the Omicron wave (140/449, 31.2%). However, among patients who tested positive for SARS-CoV-2 infection, the preterm birth rate during the Omicron wave (9.9%) was significantly lower than during the original wave (20.3%) and the Alpha (18.4%) wave ( P <.05). Vaccination rates were low before the Omicron wave and rose to 47.2% during the Omicron wave among individuals hospitalized with SARS-CoV-2 infection. Finally, second-trimester infection was significantly associated with worse perinatal outcomes compared with third-trimester infection ( P <.05).

CONCLUSION

There was a general trend toward improvement in preterm birth rates across the pandemic among pregnant patients with SARS-CoV-2 infection. The Omicron variant was more infectious, but the preterm birth rate during the Omicron wave was low compared with that during the original wave and the Alpha wave.

Cardiac Magnetic Resonance Imaging of COVID-19-Associated Cardiac Sequelae: A Systematic Review

Background

Many COVID-19 survivors experience persistent COVID-19 related cardiac abnormalities weeks to months after recovery from acute SARS-CoV-2 infection. Non-invasive cardiac magnetic resonance (CMR) imaging is an important tool of choice for clinical diagnosis of cardiac dysfunctions. In this systematic review, we analyzed the CMR findings and biomarkers of COVID-19 related cardiac sequela after SARS-CoV-2 infection.

Methods

Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), we conducted a systematic review of studies that assessed COVID-19 related cardiac abnormalities using cardiovascular magnetic resonance imaging. A total of 21 cross-sectional, case-control, and cohort studies were included in the analyses.

Results

Ten studies reported CMR results < 3 months after SARS-CoV-2 infection and 11 studies > 3 months after SARS-CoV-2 infection. Abnormal T1, abnormal T2, elevated extracellular volume, late gadolinium enhancement and myocarditis was reported less frequently in the > 3-month studies. Eight studies reported an association between biomarkers and CMR findings. Elevated troponin was associated with CMR pathology in 5/6 studies, C-reactive protein in 3/5 studies, N-terminal pro-brain natriuretic peptide in 1/2 studies, and lactate dehydrogenase and D-dimer in a single study. The rate of myocarditis via CMR was 18% (154/868) across all studies. Most SARS-CoV-2 associated CMR abnormalities resolved over time.

Conclusions

There were CMR abnormalities associated with SARS-CoV-2 infection and most abnormalities resolved over time. A panel of cardiac injury and inflammatory biomarkers could be useful in identifying patients who are likely to present with abnormal CMR pathology after COVID-19. Multiple mechanisms are likely responsible for COVID-19 induced cardiac abnormalities.

Clinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge

This study investigated whether acute liver injury (ALI) persisted and identified predictors of ALI recovery [as indicated by alanine aminotransferase (ALT) level] at hospital discharge and 2 months post-discharge for 7595 hospitalized COVID-19 patients from the Montefiore Health System (03/11/2020-06/03/2021). Mild liver injury (mLI) was defined as ALT = 1.5-5 ULN, and severe livery injury (sLI) was ALT ≥ 5 ULN. Logistic regression was used to identify predictors of ALI onset and recovery. There were 4571 (60.2%), 2306 (30.4%), 718 (9.5%) patients with no liver injury (nLI), mLI and sLI, respectively. Males showed higher incidence of sLI and mLI (p < 0.05). Mortality odds ratio was 4.15 [95% CI 3.41, 5.05, p < 0.001] for sLI and 1.69 [95% CI 1.47, 1.96, p < 0.001] for mLI compared to nLI. The top predictors (ALT, lactate dehydrogenase, ferritin, lymphocytes) accurately predicted sLI onset up to three days prior. Only 33.5% of mLI and 17.1% of sLI patients (survivors) recovered completely at hospital discharge. Most ALI patients (76.7-82.4%) recovered completely ~ 2 months post-discharge. The top predictors accurately predicted recovery post discharge with 83.2 ± 2.2% accuracy. In conclusion, most COVID-19 patients with ALI recovered completely ~ 2 months post discharge. Early identification of patients at-risk of persistent ALI could help to prevent long-term liver complications.

New-onset and persistent neurological and psychiatric sequelae of COVID-19 compared to influenza: A retrospective cohort study in a large New York City healthcare network

OBJECTIVES

Neurological and neuropsychiatric manifestations of post-acute SARS-CoV-2 infection (neuro-PASC) are common among COVID-19 survivors, but it is unknown how neuro-PASC differs from influenza-related neuro-sequelae. This study investigated the clinical characteristics of COVID-19 patients with and without new-onset neuro-PASC, and of flu patients with similar symptoms.

METHODS

We retrospectively screened 18,811 COVID-19 patients and 5772 flu patients between January 2020 and June 2021 for the presence of new-onset neuro-sequelae that persisted at least 2 weeks past the date of COVID-19 or flu diagnosis.

RESULTS

We observed 388 COVID-19 patients with neuro-PASC versus 149 flu patients with neuro-sequelae. Common neuro-PASC symptoms were anxiety (30%), depression (27%), dizziness (22%), altered mental status (17%), chronic headaches (17%), and nausea (11%). The average time to neuro-PASC onset was 138 days, with hospitalized patients reporting earlier onset than non-hospitalized patients. Neuro-PASC was associated with female sex and older age (p < 0.05), but not race, ethnicity, most comorbidities, or COVID-19 disease severity (p > 0.05). Compared to flu patients, COVID-19 patients were older, exhibited higher incidence of altered mental status, developed symptoms more quickly, and were prescribed psychiatric drugs more often (p < 0.05).

CONCLUSIONS

This study provides additional insights into neuro-PASC risk factors and differentiates between post-COVID-19 and post-flu neuro-sequelae.

Long-short-term memory machine learning of longitudinal clinical data accurately predicts acute kidney injury onset in COVID-19: a two-center study

OBJECTIVES

This study used the long-short-term memory (LSTM) artificial intelligence method to model multiple time points of clinical laboratory data, along with demographics and comorbidities, to predict hospital-acquired acute kidney injury (AKI) onset in patients with COVID-19.

METHODS

Montefiore Health System data consisted of 1982 AKI and 2857 non-AKI (NAKI) hospitalized patients with COVID-19, and Stony Brook Hospital validation data consisted of 308 AKI and 721 NAKI hospitalized patients with COVID-19. Demographic, comorbidities, and longitudinal (3 days before AKI onset) laboratory tests were analyzed. LSTM was used to predict AKI with fivefold cross-validation (80%/20% for training/validation).

RESULTS

The top predictors of AKI onset were glomerular filtration rate, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase, and C-reactive protein. Longitudinal data yielded marked improvement in prediction accuracy over individual time points. The inclusion of comorbidities and demographics further improves prediction accuracy. The best model yielded an area under the curve, accuracy, sensitivity, and specificity to be 0.965 ± 0.003, 89.57 ± 1.64%, 0.95 ± 0.03, and 0.84 ± 0.05, respectively, for the Montefiore validation dataset, and 0.86 ± 0.01, 83.66 ± 2.53%, 0.66 ± 0.10, 0.89 ± 0.03, respectively, for the Stony Brook Hospital validation dataset.

CONCLUSION

LSTM model of longitudinal clinical data accurately predicted AKI onset in patients with COVID-19. This approach could help heighten awareness of AKI complications and identify patients for early interventions to prevent long-term renal complications.

Clinical predictors of acute cardiac injury and normalization of troponin after hospital discharge from COVID-19

BACKGROUND

Although acute cardiac injury (ACI) is a known COVID-19 complication, whether ACI acquired during COVID-19 recovers is unknown. This study investigated the incidence of persistent ACI and identified clinical predictors of ACI recovery in hospitalized patients with COVID-19 2.5 months post-discharge.

METHODS

This retrospective study consisted of 10,696 hospitalized COVID-19 patients from March 11, 2020 to June 3, 2021. Demographics, comorbidities, and laboratory tests were collected at ACI onset, hospital discharge, and 2.5 months post-discharge. ACI was defined as serum troponin-T (TNT) level >99th-percentile upper reference limit (0.014ng/mL) during hospitalization, and recovery was defined as TNT below this threshold 2.5 months post-discharge. Four models were used to predict ACI recovery status.

RESULTS

There were 4,248 (39.7%) COVID-19 patients with ACI, with most (93%) developed ACI on or within a day after admission. In-hospital mortality odds ratio of ACI patients was 4.45 [95%CI: 3.92, 5.05, p<0.001] compared to non-ACI patients. Of the 2,880 ACI survivors, 1,114 (38.7%) returned to our hospitals 2.5 months on average post-discharge, of which only 302 (44.9%) out of 673 patients recovered from ACI. There were no significant differences in demographics, race, ethnicity, major commodities, and length of hospital stay between groups. Prediction of ACI recovery post-discharge using the top predictors (troponin, creatinine, lymphocyte, sodium, lactate dehydrogenase, lymphocytes and hematocrit) at discharge yielded 63.73%-75.73% accuracy.

INTERPRETATION

Persistent cardiac injury is common among COVID-19 survivors. Readily available patient data accurately predict ACI recovery post-discharge. Early identification of at-risk patients could help prevent long-term cardiovascular complications.

FUNDING

None.