Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI.

This research aimed to evaluate the clinical features and computed tomography (CT) scans associated with poor outcomes in COVID-19 patients with acute kidney injury (AKI). A total of 351 COVID-19 patients (100 AKI, 251 non-AKI) hospitalized at Imam Hossein Teaching Hospital affiliated to Shahid Beheshti University of Medical Sciences were included. To investigate the factors associated with in-hospital mortality in COVID-19 patients developing AKI, COX univariate and multivariate regression models were applied after controlling other confounding variables. C-reactive protein CRP, lactate, and procalcitonin levels were significantly higher in AKI patients than in non-AKI patients (P < .05). In addition, AKI patients had higher frequencies of lymphopenia and leukocytosis (P < .05). The troponin levels and WBC were the most significant factors for predicting mortality in patients with AKI. Our findings showed that AKI per se is much more important than any other prognostic factor affecting non-AKI patients. However, AKI patients with higher CRP, PCT, and lactate levels had a poor prognosis.  DOI: 10.52547/ijkd.7241.

Procalcitonin for antimicrobial stewardship among cancer patients admitted with COVID-19.

Background: Procalcitonin (PCT) has been used to guide antibiotic therapy in bacterial infections. We aimed to determine the role of PCT in decreasing the duration of empiric antibiotic therapy among cancer patients admitted with COVID-19. Methods: This retrospective study included cancer patients admitted to our institution for COVID-19 between March 1, 2020, and June 28, 2021, with a PCT test done within 72 hr after admission. Patients were divided into two groups: PCT <0.25 ng/ml and PCT ≥0.25 ng/ml. We assessed pertinent cultures, antibacterial use, and duration of empiric antibacterial therapy. Results: The study included 530 patients (median age, 62 years [range, 13-91]). All the patients had ≥1 culture test within 7 days following admission. Patients with PCT <0.25 ng/ml were less likely to have a positive culture than were those with PCT ≥0.25 ng/ml (6% [20/358] vs. 17% [30/172]; p<0.0001). PCT <0.25 ng/ml had a high negative predictive value for bacteremia and 30 day mortality. Patients with PCT <0.25 ng/ml were less likely to receive intravenous (IV) antibiotics for >72 hr than were patients with PCT ≥0.25 ng/ml (45% [162/358] vs. 69% [119/172]; p<0.0001). Among patients with PCT <0.25 ng/ml and negative cultures, 30 day mortality was similar between those who received IV antibiotics for ≥72 hr and those who received IV antibiotics for shorter durations (2% [2/111] vs. 3% [5/176], p=0.71). Conclusions: Among cancer patients with COVID-19, PCT level <0.25 ng/ml is associated with lower likelihood of bacterial co-infection and greater likelihood of a shorter antibiotic course. In patients with PCT level <0.25 ng/ml and negative cultures, an antibiotic course of >72 hr may not be necessary. PCT could be useful in enhancing antimicrobial stewardship in cancer patients with COVID-19. Funding: This research was supported by the National Institutes of Health/National Cancer Institute under award number P30CA016672, which supports MD Anderson Cancer Center's Clinical Trials Office.

Significance of immune-inflammatory markers in predicting clinical outcome of COVID-19 patients.

Background: The epidemic of coronavirus disease 2019 (COVID-19) has been rapidly spreading on a global scale affecting many countries and territories. There is rapid onset of generalized inflammation resulting in acute respiratory distress syndrome. We, thus, aimed to explore the potential of immune-inflammatory parameters in predicting the severity of COVID-19. Materials and Methods: Age, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), Lactate Dehydrogenase (LDH), C-reaction protein (CRP), and procalcitonin (PCT) of 611 patients with laboratory-confirmed COVID-19 were investigated and compared. Patients were divided on the basis of severity and survival into two groups. Data were expressed as mean or median values and percentages. The receiver operating characteristic curve was applied to determine the optimal cut-off values of these biomarkers. Results: The median age was 50 years and the male to female ratio was 3.7:1. The mean NLR, LMR, PLR, LDH, CRP, and Procalcitonin for the non-severe group were 4.16, 10.8, 133.7, 666.1, 49.9, and 0.15, respectively. In the severe group mean values of the above-mentioned immune-inflammatory markers were 17.8, 4.69, 268.2, 1277, 158.6, and 3.05, respectively. Elevated levels were significantly associated with disease severity. In ROC curve analysis, NLR had the largest area under the curve at 0.923 with the highest specificity (0.83) and sensitivity (0.88). Conclusion: This study shows that NLR, PLR, LDH, CRP, and Procalcitonin may be a rapid, widely available, useful predictive factor for determining the severity of COVID-19 patients.

Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis.

BACKGROUND: As the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome. METHODS: In this prospective single-center biomarker study, 47 blood- and 21 bronchoalveolar lavage (BAL) samples were collected from 47 COVID-19 intensive care unit (ICU) patients upon admission. Expression of inflammatory markers toll-like receptor 3 (TLR3), heme oxygenase-1 (HO-1), interleukin (IL)-6, IL-8, leukocyte counts, procalcitonin (PCT) and carboxyhemoglobin (CO-Hb) was compared to clinical course. Clinical assessment comprised acute local organ damage, acute systemic damage, mortality and outcome after 6 months. RESULTS: PCT correlated with acute systemic damage and was the best predictor for quality of life (QoL) after 6 months (r = - 0.4647, p = 0.0338). Systemic TLR3 negatively correlated with impaired lung function (ECMO/ECLS: r = - 0.3810, p = 0.0107) and neurological short- (RASS mean: r = 0.4474, p = 0.0023) and long-term outcome (mRS after 6 m: r = - 0.3184, p = 0.0352). Systemic IL-8 correlated with impaired lung function (ECMO/ECLS: r = 0.3784, p = 0.0161) and neurological involvement (RASS mean: r = - 0.5132, p = 0.0007). IL-6 in BAL correlated better to the clinical course than systemic IL-6. Using three multivariate regression models, we describe prediction models for local and systemic damage as well as QoL. CO-Hb mean and max were associated with higher mortality. CONCLUSIONS: Our predictive models using the combination of Charlson Comorbidity Index, sex, procalcitonin, systemic TLR3 expression and IL-6 and IL-8 in BAL were able to describe a broad range of clinically relevant outcomes in patients with severe COVID-19-associated ARDS. Using these models might proof useful in risk stratification and predicting disease course in the future. Trial registration The trial was registered with the German Clinical Trials Register (Trial-ID DRKS00021522, registered 22/04/2020).

Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia.

BACKGROUND: Patients' race and ethnicity may play a role in mortality from Covid-19. Studies in China, the US, and Europe have been conducted on the predictors of Covid-19 mortality, yet in the EMR countries, such studies are scarce. Therefore, we aimed to describe the hospitalization rate, ICU-admission, and in-hospital mortality of Covid-19 and predictors of in-hospital mortality in Saudi Arabia. METHODS: E-medical records were examined for all Covid-19 patients diagnosed in five tertiary hospitals affiliated with the Saudi-National Guard-Health Affairs during March 21, 2020, and September 12, 2021, based on a positive SARS-CoV-2 RT-PCR test, (n = 35,284). Data were collected on patients' characteristics, comorbidities, laboratory findings, hospitalization, ICU admission, and in-hospital and overall mortality. Logestic regressions were used to identify the independent predictors of in-hospital mortality. The best laboratory parameters cut-off values to predict in-hospital mortality were identified using the area under the receiver operating characteristic curve (AUC). Significance was considered at p < 0.05. RESULTS: Of all 35,284 Covid-19 patients, 81.8% were adults and 21.7% were hospitalized. Compared to non-hospitalized patients, hospitalized patients were more of female gender (52.1% versus 47.3%, p < 0.001) and had higher mean age (p < 0.001), higher mean BMI (p < 0.001), and higher rates of: diabetes (p < 0.001), hypertension (p < 0.001), ischemic heart disease (p < 0.001), cancer (p < 0.001), COPD (p < 0.001) and asthma (p = 0.011). The study showed 3.1% overall case-fatality, 20.3% ICU admission rate, and 9.7% in-hospital mortality. Predictors of in-hospital mortality among adult patients were; patients' age ≥ 70 years (OR = 6.93, 95% CI 1.94-24.79), ischemic heart disease (OR = 1.80, 95% CI 1.05-3.09), ICU admission (OR = 24.38, 95% CI 15.64-38.01), abnormal C-reactive protein "CRP" (OR = 1.85, 95% CI 1.08-3.16), abnormal D-dimer (OR = 1.96, 95% CI 1.15-3.36), lymphopenia (OR = 2.76, 95% CI 2.03-3.3.76), high neutrophil count (OR = 2.10, 95% CI 1.54-2.87), and abnormal procalcitonin (OR = 3.33, 95% CI 1.88-5.90). The best laboratory parameters cut-off values to predict in-hospital mortality were CRP > 72.25 mg/L (AUC = 0.64), D-dimer > 1125 µg/L (AUC = 0.75), neutrophils count > 5,745 × 10^9/L (AUC = 0.70), lymphocytic count < 1.10 × 10^9/L (AUC = 0.72), and procalcitonin > 0.18 ng/mL (AUC = 0.76). CONCLUSIONS: Rates of hospitalization, ICU-admission, in-hospital mortality and overall case fatality were nearly comparable to the rates in western countries. Early interventions are necessary for high-risk Covid-19 patients, especially elderly patients and those with cardiac diseases.

Evaluation of thymic dimensions in patients with multisystem inflammatory syndrome.

BACKGROUND: Multisystem inflammatory syndrome (MIS-C) is the most important complication of COVID-19 in the pediatric population. Unfortunately, this problem is an unpredictable situation in patients with COVID-19. We aimed to evaluate the effects of MIS-C on thymus dimensions in pediatric patients. METHODS: We retrospectively analyzed the files of 368 pediatric patients aged 2-18 years, who were diagnosed with COVID-19. Computer Tomography (CT) images of 22 patients diagnosed with COVID-19 and 10 patients diagnosed with MIS-C were evaluated in detail by two board-certified radiologists. Eighteen age and sexmatched patients who applied to the emergency department of our hospital for any reason and had a CT scan for any reason were selected as the control group. The data of both groups were statistically compared. RESULTS: Considering the differences between the groups in terms of laboratory data, monocytes, hemoglobin, and platelet were significantly lower in the MIS-C group than the other groups. Procalcitonin, C- reactive protein, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and proBNP levels were statistically significantly higher in the MIS-C group compared to the other groups Regarding the differences in thymus dimensions, thymus AP diameter, transverse diameter, length, thickness, and volume were significantly higher in the MIS-C group than in the other groups There was a significant positive correlation between the transverse diameter of the thymus and CRP, procalcitonin, pro-brain natriuretic peptide (proBNP), and NLR levels. CONCLUSIONS: Our study shows that thymus dimensions and acute phase reactants are higher in pediatric patients in the MIS-C group. Also, thymus transverse diameter, thymus thickness, and PLR values pose a risk for the development of MIS-C. More research is needed on the role of the thymus gland in the pathogenesis and diagnosis of MIS-C.

Development and validation of a nomogram for the early prediction of acute kidney injury in hospitalized COVID-19 patients.

Introduction: Acute kidney injury (AKI) is a prevalent complication of coronavirus disease 2019 (COVID-19) and is closely linked with a poorer prognosis. The aim of this study was to develop and validate an easy-to-use and accurate early prediction model for AKI in hospitalized COVID-19 patients. Methods: Data from 480 COVID-19-positive patients (336 in the training set and 144 in the validation set) were obtained from the public database of the Cancer Imaging Archive (TCIA). The least absolute shrinkage and selection operator (LASSO) regression method and multivariate logistic regression were used to screen potential predictive factors to construct the prediction nomogram. Receiver operating curves (ROC), calibration curves, as well as decision curve analysis (DCA) were adopted to assess the effectiveness of the nomogram. The prognostic value of the nomogram was also examined. Results: A predictive nomogram for AKI was developed based on arterial oxygen saturation, procalcitonin, C-reactive protein, glomerular filtration rate, and the history of coronary artery disease. In the training set, the nomogram produced an AUC of 0.831 (95% confidence interval [CI]: 0.774-0.889) with a sensitivity of 85.2% and a specificity of 69.9%. In the validation set, the nomogram produced an AUC of 0.810 (95% CI: 0.737-0.871) with a sensitivity of 77.4% and a specificity of 78.8%. The calibration curve shows that the nomogram exhibited excellent calibration and fit in both the training and validation sets. DCA suggested that the nomogram has promising clinical effectiveness. In addition, the median length of stay (m-LS) for patients in the high-risk group for AKI (risk score ≥ 0.122) was 14.0 days (95% CI: 11.3-16.7 days), which was significantly longer than 8.0 days (95% CI: 7.1-8.9 days) for patients in the low-risk group (risk score <0.122) (hazard ratio (HR): 1.98, 95% CI: 1.55-2.53, p < 0.001). Moreover, the mortality rate was also significantly higher in the high-risk group than that in the low-risk group (20.6 vs. 2.9%, odd ratio (OR):8.61, 95%CI: 3.45-21.52). Conclusions: The newly constructed nomogram model could accurately identify potential COVID-19 patients who may experience AKI during hospitalization at the very beginning of their admission and may be useful for informing clinical prognosis.

SARS-CoV-2 in Pregnancy-A Retrospective Analysis of Selected Maternal and Fetal Laboratory Parameters.

Pregnant women and their neonates belong to the group of individuals with elevated risk for COVID-19 infection. Data on the course of the disease and how it affects the pregnancy and neonatal wellbeing remain conflicting. The aim of the study was to evaluate the effect of SARS CoV-2 infection on the mode of delivery, neonatal condition and selected maternal and fetal laboratory parameters. This was a single-center retrospective case-control study. This dataset was generated using electronic medical records collected by medical personnel. Two groups of patients, hospitalized between April, 2020 and February, 2021, were included in the study: study group (304)-pregnant women with SARS-CoV-2 and control group (N = 329)-healthy pregnant women or parturients. Mothers with a severe course of COVID-19 had higher activated partial thromboplastin-APTT (p = 0.02), C-Reactive Protein-CRP (p = 0.00) and procalcitonin (p = 0.032) levels as compared to pregnant women with mild or moderate course of the disease. Neonates born to SARS-CoV-2-infected mothers presented with worse condition at 1 and 5 minutes of life (p = 0.000 and 0.00, respectively) and lower Arterial Blood Gas-ABG pH scores (p = 0.016). Elective cesarean section is the most common mode of delivery for SARS-CoV2-infected mothers. Emergency cesarean sections are performed at earlier gestational age as compared to vaginal delivery and elective cesarean section. Lower Apgar scores were observed in neonates born to SARS-CoV-2-infected mothers who required oxygen therapy and whose procalcitonin levels were elevated. There is a relationship between more severe course of COVID-19 and APTT, as well as CRP and procalcitonin levels.

Seroprevalence of community-acquired atypical bacterial pneumonia among adult COVID-19 patients from a single center in Al Madinah Al Munawarah, Saudi Arabia: A retrospective cohort study.

OBJECTIVES: To investigate the seroprevalence of the community-acquired bacterial that causes atypical pneumonia among confirmed severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) patients. METHODS: In this cohort study, we retrospectively investigated the seroprevalence of Chlamydia pneumoniae, Mycoplasma pneumoniae, and Legionella pneumophila among randomly selected 189 confirmed COVID-19 patients at their time of hospital presentation via commercial immunoglobulin M (IgM) antibodies against these bacteria. We also carried out quantitative measurements of procalcitonin in patients' serum. RESULTS: The seropositivity for L. pneumophila was 12.6%, with significant distribution among patientsolder than 50 years (χ2 test, p=0.009), while those of M. pneumoniae was 6.3% and C. pneumoniae was 2.1%, indicating an overall co-infection rate of 21% among COVID-19 patients. No significant difference (χ2 test, p=0.628) in the distribution of bacterial co-infections existed between male and female patients. Procalcitonin positivity was confirmed amongst 5% of co-infected patients. CONCLUSION: Our study documented the seroprevalence of community-acquired bacteria co-infection among COVID-19 patients. In this study, procalcitonin was an inconclusive biomarker for non-severe bacterial co-infections among COVID-19 patients. Consideration and proper detection of community-acquired bacterial co-infection may minimize misdiagnosis during the current pandemic and positively reflect disease management and prognosis.

Reducing unnecessary routine laboratory testing for noncritically ill patients with COVID-19.

BACKGROUND: Reducing unnecessary routine laboratory testing is a Choosing Wisely® recommendation, and new areas of overuse were noted during the COVID-19 pandemic. OBJECTIVE: To reduce unnecessary repetitive routine laboratory testing for patients with COVID-19 during the pandemic across a large safety net health system. DESIGNS, SETTINGS AND PARTICIPANTS: This quality improvement initiative was initiated by the System High-Value Care Council at New York City Health + Hospitals (H + H), the largest public healthcare system in the United States consisting of 11 acute care hospitals. INTERVENTION: four overused laboratory tests in noncritically ill hospitalized patients with COVID-19 were identified: C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), and procalcitonin. A two-pronged electronic health record intervention was implemented consisting of (1) nonintrusive, informational nudge statements placed on selected order sets, and (2) a forcing function of one consecutive day limit on ordering. MAIN OUTCOME AND MEASURES: The average of excess tests per encounter days (ETPED) for each of four target laboratory testing only in patients with COVID-19. OBJECTIVE: Interdisciplinary System High-Value Care Council identified four overused laboratory tests (inflammatory markers) in noncritically ill hospitalized patients with COVID-19: C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), and procalcitonin. Within an 11-hospital safety net health system, a two-pronged electronic health record intervention was implemented consisting of (1) nonintrusive, informational nudge statements placed on selected order sets, and (2) a forcing function of one consecutive day limit on ordering. The preintervention period (March 16, 2020 to January 24, 2021) was compared to the postintervention period (January 25, 2021 to March 22, 2022). RESULTS: Time series linear regression showed decreases in CRP (-17.9%, p < .05), ferritin (-37.6%, p < .001), and LDH (-30.1%, p < .001). Slope differences were significant (CRP, ferritin, and LDH p < 0.001; procalcitonin p < 0.05). Decreases were observed across weekly averages: CRP (-19%, p < .01), ferritin (-37.9%, p < .001), LDH (-28.7%, p < .001), and procalcitonin (-18.4%, p < .05). CONCLUSION: This intervention was associated with reduced routine inflammatory marker testing in non-intensive care unit COVID-19 hospitalized patients across 11 hospitals. Variation was high among individual hospitals.

Uses of Procalcitonin as a Biomarker in Critical Care Medicine.

Procalcitonin is a commonly used biomarker for infection and severity in the intensive care unit. Although relatively specific for bacterial, as opposed to viral, infections, serum procalcitonin levels also correlate with disease severity and thus cannot reliably distinguish between bacterial and nonbacterial infections in the setting of critical illness, particularly in cases of severe influenza and coronavirus disease-2019. Baseline procalcitonin levels are insufficiently discriminative to permit the withholding of antibiotics in patients with critical illness and suspected sepsis. Trends in procalcitonin levels over time, however, give us the opportunity to individualize the duration of antibiotics without negative impacts on mortality.

Early procalcitonin to predict mortality in critically ill COVID-19 patients: a multicentric cohort study.

BACKGROUND: High levels of procalcitonin (PCT) have been associated with a higher risk of mortality in COVID-19 patients. We explored the prognostic role of early PCT assessment in critically ill COVID-19 patients and whether PCT predictive performance would be influenced by immunosuppression. METHODS: Retrospective multicentric analysis of prospective collected data in COVID-19 patients consecutively admitted to 36 intensive care units (ICUs) in Spain and Andorra from March to June 2020. Adult (>18 years) patients with confirmed COVID-19 and available PCT values (<72 hours from ICU admission) were included. Patients were considered as "no immunosuppression" (NI), "chronic immunosuppression" (CI) and "acute immunosuppression" (AIT if only tocilizumab; AIS if only steroids, AITS if both). The primary outcome was the ability of PCT to predict ICU mortality. RESULTS: Of the 1079 eligible patients, 777 patients were included in the analysis. Mortality occurred in 227 (28%) patients. In the NI group 144 (19%) patients were included, 67 (9%) in the CI group, 66 (8%) in the AIT group, 262 (34%) in the AIS group and 238 (31%) in the AITS group; PCT was significantly higher in non-survivors when compared with survivors (0.64 [0.17-1.44] vs. 0.23 [0.11-0.60] ng/mL; P<0.01); however, in the multivariable analysis, PCT values was not independently associated with ICU mortality. PCT values and ICU mortality were significantly higher in patients in the NI and CI groups. CONCLUSIONS: PCT values are not independent predictors of ICU mortality in COVID-19 patients. Acute immunosuppression significantly reduced PCT values, although not influencing its predictive value.

C-Reactive Protein, Ferritin, and Procalcitonin in 300 Moroccan Patients with COVID 19.

BACKGROUND: COVID-19 is a true global pandemic since March 2020, and it is responsible in the majority of patients mild symptoms; however, a small number of patients progress to the severe form with acute respiratory distress syndrome (ARDS) and some of them progress to the very severe form which can be fatal when it comes to multiorgan failure. Thus, it is important to identify as early as possible patients at high risk of progressing to severe forms requiring early and specialized management in order to reduce mortality. METHODS: Our five-month retrospective study (May 2020 - October 2020) included 300 SARS-CoV-2 patients confirmed by RT-PCR and hospitalized in the Infectious and Tropical Diseases Center (CMIT), and in the Intensive Care Unit of the Military Hospital of instructions Mohamed V of Rabat (Morocco). Our objective was to compare the levels of C-reactive protein (CRP), ferritin, and procalcitonin (PCT) according to the clinical state and prog-nosis of patients. RESULTS: In our series of results, very significantly elevated levels of C-reactive protein, ferritin, and procalcitonin were associated with severe and very severe forms of COVID-19 disease as well as a poor prognosis. CONCLUSIONS: In the absence of international recommendations, the validation of clinical-biological scores involving different biological parameters in COVID-19 patients would allow a standardization of practices, a correct prescription of biological analyses and a risk stratification allowing to palliate the lack of medical resources and thus to reduce mortality.

Assessment of the role of neutrophil extracellular traps in SARS-CoV-2 pneumonia.

BACKGROUND: Abnormal neutrophil extracellular traps are associated with lung diseases, thrombosis, increased mucosal secretion in the airways. The aim of this study is to evaluate the possible place of the most specific NETosis marker Cit-H3 protein in diagnostic algorithms by revealing its relationship with the severity, mortality and prognosis of SARS-CoV-2 pneumonia. PATIENTS AND METHODS: Patients (n = 78) who applied to the Emergency Department between March 11, 2020 and June 10, 2020, with positive SARS-CoV-2 polymerase chain reaction (PCR) test and lung involvement were included in the prospective study. Serum Cit-H3 levels and critical laboratory parameters were measured at baseline on the day of clinical deterioration and before recovery/discharge/death. Cit-C3 levels were determined by enzyme immunassay method. RESULTS: Cit-H3 levels in patients with SARS-CoV-2 pneumonia during their first admission to the hospital were significantly higher compared to the healthy control group (p < 0.05). Repeated measurements of Cit-H3 levels of the patients significantly correlated with D-dimer, procalcitonin, Neutrophil/ Lymphocyte ratio, lymphocyte, CRP, and oxygen saturation. Cit-H3 levels of the patients who died were significantly higher than that of those who survived (p < 0.05). Cit-H3 levels were found to be statistically significantly higher in patients who developed acute respiratory distress syndrome, were admitted to the intensive care unit, and had mortality (p < 0.05). CONCLUSIONS: Cit-H3 plays a role in inflammatory processes in SARS-CoV-2 pneumonia, and changes in serum Cit-H3 levels of these patients can be used to determine prognosis and mortality (Tab. 5, Fig. 1, Ref. 21).

Puerperium could have better intensive care outcomes with acute respiratory distress syndrome caused by COVID-19.

Acute respiratory distress syndrome (ARDS) with (COVID-19 often result in mortality. Treatment outcomes among puerperant, when compared with non-pregnant women (NPW) with the same syndrome. Physiological changes underwent within the gestation period have a considerable impact on the immune system, respiratory system, cardiovascular function, and coagulation. Through this research, it was aimed to compare intensive care unit (ICU) follow-up and treatment results of postpartum-period patients with those of non-pregnant ones. During the first week of ICU, 23 puerperant COVID-19 patients with ARDS and 34 non-pregnant COVID-19 patients took part in the study. Age, height, and predictive body weight (PBW) at admission to the ICU were compared with the clinical parameters of disease severity, such as FiO2 (fraction of inspired oxygen), PaO2 (arterial oxygen partial pressure), Horowitz index (PaO2/FiO2), procalcitonin (PCT), and C-reactive protein (CRP). Respiration parameters were recorded a meta-vision back server. Demographic data, FiO2, PaO2, Horowitz index, PCT, CRP and respiration parameters values were similar in both groups. The duration of non-mechanical ventilation and number of patients were seen to be significantly greater among the puerperant group than control group (P; .04 and .002, respectively). The duration of mechanical ventilation was similar in both groups (P; .07), while the mortality rate was lower in the puerperant group (P; .004). The postpartum women with COVID-19 induced ARDS were observed to have better ICU follow-up results and lower mortality. However, it is considered that the present results need to be supported greater number of participants.

Remnant cholesterol levels are associated with severity and death in COVID-19 patients.

Coronavirus disease-19 (COVID-19) patients with severe complications present comorbidities like cardiovascular-disease, hypertension and type-2 diabetes mellitus (DM), sharing metabolic alterations like insulin resistance (IR) and dyslipidemia. Our objective was to evaluate the association among different components of the lipid-lipoprotein profile, such as remnant lipoprotein (RLP)-cholesterol, in patients with COVID-19, and to analyze their associations with the severity of the disease and death. We studied 193 patients (68 (29-96) years; 49.7% male) hospitalized for COVID-19 and 200 controls (46 (18-79) years; 52.5% male). Lipoprotein profile, glucose and procalcitonin were assessed. Patients presented higher glucose, TG, TG/HDL-cholesterol and RLP-cholesterol levels, but lower total, LDL, HDL and no-HDL-cholesterol levels (p < 0.001). When a binary logistic regression was performed, age, non-HDL-cholesterol, and RLP-cholesterol were associated with death (p = 0.005). As the COVID-19 condition worsened, according to procalcitonin tertiles, a decrease in all the cholesterol fractions (p < 0.03) was observed with no differences in TG, while levels of RLP-cholesterol and TG/HDL-cholesterol increased (p < 0.001). Lower levels of all the cholesterol fractions were related with the presence and severity of COVID-19, except for RLP-cholesterol levels and TG/HDL-cholesterol index. These alterations indicate a lipid metabolic disorder, characteristic of IR states in COVID-19 patients. RLP-cholesterol levels predicted severity and death in these patients.

The Association between Admission Procalcitonin Level and The Severity of COVID-19 Pneumonia: A Retrospective Cohort Study.

Background and Objectives: An elevated procalcitonin level has classically been linked to bacterial infections. Data on the association between elevated procalcitonin and the outcome of coronavirus disease 2019 (COVID-19) are conflicting. Some linked it to associated bacterial co-infections, while others correlated the elevation with disease severity without coexisting bacterial infections. We aimed to investigate the association between high procalcitonin and the severity of COVID-19. Materials and Methods: Hospitalized patients with confirmed COVID-19 pneumonia were divided into two groups: the normal-procalcitonin group and the high-procalcitonin group (>0.05 ng/mL). Patients with concomitant bacterial infections on admission were excluded. The primary outcomes were the need for intensive care unit (ICU) admission, progression to invasive mechanical ventilation (IMV), and in-hospital 28-day mortality. Results: We included 260 patients in the normal procalcitonin group and 397 patients in the high procalcitonin group. The mean age was 55 years and 49% were females. A higher number of patients in the elevated procalcitonin group required ICU admission (32.7% vs. 16.2%, p < 0.001) and IMV (27.2% vs. 13.5%, p < 0.001). In-hospital mortality was significantly higher in the elevated procalcitonin group (18.9% vs. 8.5%, p < 0.001). After adjusting for other covariates, procalcitonin > 0.05 ng/mL was an independent predictor of progression to IMV (OR, 1.71; 95% CI, 1.08-2.71; p = 0.022), ICU admission (OR, 1.73; 95% CI, 1.13-2.66; p = 0.011), and in-hospital mortality (OR, 1.99; 95% CI, 1.14-3.47; p = 0.015). An elevated procalcitonin level was the strongest predictor of in-hospital mortality. Conclusions: Measurement of procalcitonin can have a prognostic role among COVID-19 patients. The admission procalcitonin level can identify patients at risk of ICU admission, progression to IMV, and in-hospital mortality.

The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19.

BACKGROUND: The COVID-GRAM is a clinical risk rating score for predicting the prognosis of hospitalized COVID-19 infected patients. AIM: Our study aimed to evaluate the use of the COVID-GRAM score in patients with COVID-19 based on the data from the COronavirus in the LOwer Silesia (COLOS) registry. MATERIAL AND METHODS: The study group (834 patients of Caucasian patients) was retrospectively divided into three arms according to the risk achieved on the COVID-GRAM score calculated at the time of hospital admission (between February 2020 and July 2021): low, medium, and high risk. The Omnibus chi-square test, Fisher test, and Welch ANOVA were used in the statistical analysis. Post-hoc analysis for continuous variables was performed using Tukey's correction with the Games-Howell test. Additionally, the ROC analysis was performed over time using inverse probability of censorship (IPCW) estimation. The GRAM-COVID score was estimated from the time-dependent area under the curve (AUC). RESULTS: Most patients (65%) had a low risk of complications on the COVID-GRAM scale. There were 113 patients in the high-risk group (13%). In the medium- and high-risk groups, comorbidities occurred statistically significantly more often, e.g., hypertension, diabetes, atrial fibrillation and flutter, heart failure, valvular disease, chronic kidney disease, and obstructive pulmonary disease (COPD), compared to low-risk tier subjects. These individuals were also patients with a higher incidence of neurological and cardiac complications in the past. Low saturation of oxygen values on admission, changes in C-reactive protein, leukocytosis, hyperglycemia, and procalcitonin level were associated with an increased risk of death during hospitalization. The troponin level was an independent mortality factor. A change from low to medium category reduced the overall survival probability by more than 8 times and from low to high by 25 times. The factor with the strongest impact on survival was the absence of other diseases. The medium-risk patient group was more likely to require dialysis during hospitalization. The need for antibiotics was more significant in the high-risk group on the GRAM score. CONCLUSION: The COVID-GRAM score corresponds well with total mortality. The factor with the strongest impact on survival was the absence of other diseases. The worst prognosis was for patients who were unconscious during admission. Patients with higher COVID-GRAM score were significantly less likely to return to full health during follow-up. There is a continuing need to develop reliable, easy-to-adopt tools for stratifying the course of SARS-CoV-2 infection.

Sex differences in determinants of COVID-19 severe outcomes - findings from the National COVID Cohort Collaborative (N3C).

OBJECTIVE: The impact of comorbidities and biomarkers on COVID-19 severity vary by sex but have not yet been verified in population-based studies. We examined the association of comorbidities, inflammatory biomarkers, and severe outcomes in men and women hospitalized for COVID-19. DESIGN: This is a retrospective cohort analysis based on the National COVID Cohort Collaborative (N3C). We included 574,391 adult patients admitted for COVID-19 at hospitals or emergency rooms between 01/01/2020 and 12/31/2021. METHODS: We defined comorbidities at or before the first admission for COVID-19 by Charlson Comorbidity Index (CCI) and CCI components. We used the averaged lab values taken within 15 days before or after the admission date to measure biomarkers including c-reactive protein (CRP), ferritin, procalcitonin, N-terminal pro b-type natriuretic peptide (NT proBNP), d-dimer, absolute lymphocyte counts, absolute neutrophil counts, and platelets. Our primary outcome was all-cause mortality; secondary outcomes were invasive mechanical ventilation (IMV) and hospital length of stay (LOS). We used logistic regression adjusted for age, race, ethnicity, visit type, and medications to assess the association of comorbidities, biomarkers, and mortality disaggregating by sex. RESULTS: Moderate to severe liver disease, renal disease, metastatic solid tumor, and myocardial infarction were the top four fatal comorbidities among patients who were hospitalized for COVID-19 (adjusted odds ratio [aOR] > 2). These four comorbid conditions remained the most lethal in both sexes, with a higher magnitude of risk in women than in men (p-interaction < 0.05). Abnormal elevations of CRP, ferritin, procalcitonin, NT proBNP, neutrophil, and platelet counts, and lymphocytopenia were significantly associated with the risk of death, with procalcitonin and NT proBNP as the strongest predictors (aOR > 2). The association between the abnormal biomarkers and death was stronger in women than in men (p-interaction < 0.05). CONCLUSION: There are sex differences in inpatient mortality associated with comorbidities and biomarkers. The significant impact of these clinical determinants in women with COVID-19 may be underappreciated as previous studies stressed the increased death rate in male patients that is related to comorbidities or inflammation. Our study highlights the importance and the need for sex-disaggregated research to understand the risk factors of poor outcomes and health disparities in COVID-19.

Procalcitonin and High APACHE (Acute Physiological and Chronic Health Evaluation) Level Are Associated with the Course of Acute Kidney Injury in Patients with SARS-CoV-2.

Background: Acute kidney injury (AKI) is associated with poor outcomes in patients infected with SARS-CoV-2. Sepsis, direct injury to kidney cells by the virus, and severe systemic inflammation are mechanisms implicated in its development. We investigated the association between inflammatory markers (C-reactive protein, procalcitonin, D-dimer, lactate dehydrogenase, and ferritin) in patients infected with SARS-CoV-2 and the development of AKI. Methods: A prospective cohort study performed at the Civil Hospital (Dr. Juan I. Menchaca) Guadalajara, Mexico, included patients aged >18 years with a diagnosis of SARS-CoV-2 pneumonia confirmed by RT-PCR and who did or did not present with AKI (KDIGO) while hospitalized. Biomarkers of inflammation were recorded, and kidney function was estimated using the CKD-EPI formula. Results: 291 patients were included (68% males; average age, 57 years). The incidence of AKI was 40.5% (118 patients); 21% developed stage 1 AKI, 6% developed stage 2 AKI, and 14% developed stage 3 AKI. The development of AKI was associated with higher phosphate (p = 0.002) (RR 1.39, CI 95% 1.13-1.72), high procalcitonin levels at hospital admission (p = 0.005) (RR 2.09, CI 95% 1.26-3.50), and high APACHE scores (p = 0.011) (RR 2.0, CI 95% 1.17-3.40). The survival analysis free of AKI according to procalcitonin levels and APACHE scores demonstrated a lower survival in patients with procalcitonin >0.5 ng/ml (p = 0.001) and APACHE >15 points (p = 0.004). Conclusions: Phosphate, high procalcitonin levels, and APACHE levels >15 were predictors of AKI development in patients hospitalized with COVID-19.