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1.
Panminerva Med ; 2022 Feb 04.
Article in English | MEDLINE | ID: covidwho-1675514

ABSTRACT

BACKGROUND: Lung damage leading to gas-exchange deficit and sepsis leading to systemic hypoperfusion are well-known features of severe pneumonia. Although frequently described in COVID-19, their prognostic impact in COVID-19-related pneumonia vs COVID-19-urelated pneumonia has never been compared. This study assesses fundamental gas-exchange and hemodynamic parameters and explores their prognostic impact in COVID-19 pneumonia and non-COVID-19 pneumonia. METHODS: We prospectively evaluated arterial pO2/FiO2, alveolar to arterial O2 gradient, shock index, and serum lactate in 126 COVID-19 pneumonia patients, aged 18- 65, presenting to the emergency department with acute, non-hypercapnic respiratory failure. As a control group we identified 1:1 age-, sex-, and pO2/FiO2-matched COVID-19-urelated pneumonia patients. Univariate and multivariable predictors of 30-day survival were identified in both groups. RESULTS: COVID-19 patients showed lower arterial serum lactate concentration (p<0.001) and shock index (p<0.001) values as compared to non-COVID-19 patients. While we did not observe differences in lactate concentration or in shock index values in deceased vs surviving COVID-19 patients (respectively, p=0.7 and p=0.6), non-COVID-19 deceased patients showed significantly higher lactate and shock index than non-COVID-19 survivors (p<0.001 and p=0.03). The pO2/FiO2 was the most powerful determinant of survival by Cox regression multivariate analysis in COVID-19 patients (p=0.006), while it was lactate in non-COVID-19 patients (p=0.001). CONCLUSIONS: As compared to COVID19-unrelated pneumonia, COVID-19 pneumonia outcome seems more strictly correlated to the extent of lung damage, rather than to the systemic circulatory and metabolic derangements typical of sepsis.

2.
J Cardiothorac Vasc Anesth ; 36(5): 1354-1363, 2022 05.
Article in English | MEDLINE | ID: covidwho-1537350

ABSTRACT

OBJECTIVES: Patients with COVID-19 frequently develop acute respiratory distress syndrome (ARDS) requiring intensive care unit (ICU) admission. Data on long-term survival of these patients are lacking. The authors investigated 1-year survival, quality of life, and functional recovery of patients with COVID-19 ARDS requiring invasive mechanical ventilation. DESIGN: Prospective observational study. SETTING: Tertiary-care university hospital. PARTICIPANTS: All patients with COVID-19 ARDS receiving invasive mechanical ventilation and discharged alive from hospital. INTERVENTIONS: Patients were contacted by phone after 1 year. Functional, cognitive, and psychological outcomes were explored through a questionnaire and assessed using validated scales. Patients were offered the possibility to undergo a follow-up chest computed tomography (CT) scan. MEASUREMENTS AND MAIN RESULTS: The study included all adult (age ≥18 years) patients with COVID-19-related ARDS admitted to an ICU of the authors' institution between February 25, 2020, and April 27, 2020, who received at least 1 day of invasive mechanical ventilation (IMV). Of 116 patients who received IMV, 61 (52.6%) survived to hospital discharge. These survivors were assessed 1 year after discharge and 56 completed a battery of tests of cognition, activities of daily living, and interaction with family members. They had overall good functional recovery, with >80% reporting good recovery and no difficulties in usual activities. A total of 52 (93%) of patients had no dyspnea at rest. Severe anxiety/depression was reported by 5 (8.9%) patients. Comparing 2-month and 1-year data, the authors observed the most significant improvements in the areas of working status and exertional dyspnea. One-year chest CT scans were available for 36 patients; fibrotic-like changes were present in 4 patients. CONCLUSIONS: All patients who survived the acute phase of COVID-19 and were discharged from the hospital were alive at the 1-year follow up, and the vast majority of them had good overall recovery and quality of life.


Subject(s)
COVID-19 , Respiration, Artificial , Activities of Daily Living , Adolescent , Adult , COVID-19/therapy , Follow-Up Studies , Humans , Intensive Care Units , Quality of Life , SARS-CoV-2
3.
Front Med (Lausanne) ; 8: 766486, 2021.
Article in English | MEDLINE | ID: covidwho-1518500

ABSTRACT

Severe Coronavirus disease 2019 (COVID-19) is characterized by acute respiratory distress syndrome (ARDS) which may lead to long-lasting pulmonary sequelae in the survivors. COVID-19 shares common molecular signatures with interstitial lung diseases (ILDs), including pro-angiogenic and tissue-remodeling mechanisms mediated by vascular endothelial growth factor receptor (VEGF-R), fibroblast growth factor receptor (FGF-R), and platelet-derived growth factor receptor (PDGF-R). Nintedanib mainly targets these factors and is approved for ILDs. Therefore, we administered nintedanib through compassionate use to three patients with COVID-19 pneumonia requiring extra-corporeal membrane-oxygenation (ECMO). Here, we describe our experience in an attempt to explore the role of nintedanib in lung recovery in COVID-19. Three obese patients aged between 42 and 52 years were started on nintedanib due to difficulty in obtaining lung function restoration and weaning from ECMO support following the removal of orotracheal intubation (OTI). Soon after the start of the treatment, systemic inflammation and respiratory function rapidly improved and ECMO support was withdrawn. Serial chest CT scans confirmed the progressive lung amelioration, also reflected by functional tests during follow-up. Nintedanib was well-tolerated by all the three patients at the dosage used for ILDs and continued for 2-3 months based on drug availability. Although caution in interpreting events is required; it is tempting to speculate that nintedanib may have contributed to modulate lung inflammation and remodeling and to sustain lung repair. Altogether, nintedanib appears as a promising agent in patients with severe COVID-19 and delayed respiratory function recovery, for whom molecularly targeted therapies are still lacking. Clinical trials are necessary to confirm our observations.

4.
Acta Anaesthesiol Scand ; 66(2): 223-231, 2022 02.
Article in English | MEDLINE | ID: covidwho-1511269

ABSTRACT

BACKGROUND: Coronavirus disease 2019 acute respiratory distress syndrome (COVID-19 ARDS) is a disease that often requires invasive ventilation. Little is known about COVID-19 ARDS sequelae. We assessed the mid-term lung status of COVID-19 survivors and investigated factors associated with pulmonary sequelae. METHODS: All adult COVID-19 patients admitted to the intensive care unit from 25th February to 27th April 2020 were included. Lung function was evaluated through chest CT scan and pulmonary function tests (PFT). Logistic regression was used to identify predictors of persisting lung alterations. RESULTS: Forty-nine patients (75%) completed lung assessment. Chest CT scan was performed after a median (interquartile range) time of 97 (89-105) days, whilst PFT after 142 (133-160) days. The median age was 58 (52-65) years and most patients were male (90%). The median duration of mechanical ventilation was 11 (6-16) days. Median tidal volume/ideal body weight (TV/IBW) was 6.8 (5.71-7.67) ml/Kg. 59% and 63% of patients showed radiological and functional lung sequelae, respectively. The diffusion capacity of carbon monoxide (DLCO ) was reduced by 59%, with a median per cent of predicted DLCO of 72.1 (57.9-93.9) %. Mean TV/IBW during invasive ventilation emerged as an independent predictor of persistent CT scan abnormalities, whilst the duration of mechanical ventilation was an independent predictor of both CT and PFT abnormalities. The extension of lung involvement at hospital admission (evaluated through Radiographic Assessment of Lung Edema, RALE score) independently predicted the risk of persistent alterations in PFTs. CONCLUSIONS: Both the extent of lung parenchymal involvement and mechanical ventilation protocols predict morphological and functional lung abnormalities months after COVID-19.


Subject(s)
COVID-19 , Respiratory Distress Syndrome , Adult , Humans , Intensive Care Units , Lung/diagnostic imaging , Male , Middle Aged , Respiratory Distress Syndrome/diagnostic imaging , Respiratory Distress Syndrome/etiology , SARS-CoV-2 , Survivors
5.
Echocardiography ; 38(10): 1778-1786, 2021 10.
Article in English | MEDLINE | ID: covidwho-1476163

ABSTRACT

BACKGROUND: Myocardial injury (MI) can be detected during the acute phase of Coronavirus disease 19 (COVID-19) and is associated with a dismal prognosis. Recent imaging studies described the persistence of cardiac abnormalities after the recovery. The aim of the study was to investigate the spectrum of cardiac abnormalities at mid-term follow-up in patients recovered from COVID-19 using clinical assessment, laboratory tests, and imaging evaluation with comprehensive echocardiography. METHODS: This is an observational, cross-sectional study assessing an unselected cohort of consecutive patients recovered from COVID-19. MI was defined by elevated plasma levels of high sensitive troponin T (hsTnT). At the follow-up, a complete examination including echocardiography was performed. RESULTS: The 123 patients included were divided into two groups according to the presence of MI during hospitalization: group A (without MI) and group B (with MI). After a median of 85 days, group B patients were more frequently symptomatic for dyspnea and had significantly higher values of hsTnT and N-Terminal prohormone of Brain Natriuretic Peptide (NT-proBNP), compared to Group A. No differences between the two groups in left nor right ventricle dimension and ejection fraction were found. However, in group B a significant reduction of mean left ventricle global longitudinal strain was observed (-15.7±.7 vs -18.1± .3 in group A, p < 0.001), together with higher frequency of impaired diastolic function and higher values of pulmonary pressure. CONCLUSIONS: In patients recovered from COVID-19, echocardiography with speckle-tracking analysis may be an useful imaging tool to identify subclinical myocardial dysfunction and potentially guide management strategies.


Subject(s)
COVID-19 , Heart/physiopathology , COVID-19/pathology , Cross-Sectional Studies , Echocardiography , Humans , Myocardium , Natriuretic Peptide, Brain , Peptide Fragments , Stroke Volume , Ventricular Function, Left
6.
Front Immunol ; 11: 603428, 2020.
Article in English | MEDLINE | ID: covidwho-1389167

ABSTRACT

In this work we present the case of SARS-CoV-2 infection in a 1.5-year-old boy affected by severe Wiskott-Aldrich Syndrome with previous history of autoinflammatory disease, occurring 5 months after treatment with gene therapy. Before SARS-CoV-2 infection, the patient had obtained engraftment of gene corrected cells, resulting in WASP expression restoration and early immune reconstitution. The patient produced specific immunoglobulins to SARS-CoV-2 at high titer with neutralizing capacity and experienced a mild course of infection, with limited inflammatory complications, despite pre-gene therapy clinical phenotype.


Subject(s)
Antibodies, Neutralizing , Antibodies, Viral , COVID-19 , Genetic Therapy , SARS-CoV-2 , Wiskott-Aldrich Syndrome , Antibodies, Neutralizing/blood , Antibodies, Neutralizing/immunology , Antibodies, Viral/blood , Antibodies, Viral/immunology , COVID-19/blood , COVID-19/immunology , COVID-19/therapy , Humans , Infant , Male , SARS-CoV-2/immunology , SARS-CoV-2/metabolism , Wiskott-Aldrich Syndrome/blood , Wiskott-Aldrich Syndrome/immunology , Wiskott-Aldrich Syndrome/therapy , Wiskott-Aldrich Syndrome Protein/biosynthesis , Wiskott-Aldrich Syndrome Protein/immunology
7.
Pacing Clin Electrophysiol ; 44(3): 552-556, 2021 03.
Article in English | MEDLINE | ID: covidwho-1358629

ABSTRACT

We present, to our knowledge, the first case of immunosuppressive therapy (IST) application in a 12-year-old child with arrhythmogenic inflammatory cardiomyopathy resulting from the overlap between autoimmune myocarditis and primary arrhythmogenic cardiomyopathy. Indication to off-lable IST was compelling, because of recurrent drug-refractory ventricular arrhythmias (VAs). We show that IST was feasible, safe, and effective on multiple clinical endpoints, including symptoms, VA recurrences, and T-troponin release. Remarkably, all diagnostic and therapeutic strategies were worked out by a dedicated multidisciplinary team, including specialized pediatric immunologists.


Subject(s)
Arrhythmogenic Right Ventricular Dysplasia/drug therapy , Arrhythmogenic Right Ventricular Dysplasia/immunology , Azathioprine/therapeutic use , Biomarkers/blood , Child , Echocardiography , Electrocardiography , Humans , Magnetic Resonance Imaging , Male , Myocarditis/drug therapy , Myocarditis/immunology , Prednisone/therapeutic use , Recurrence , Risk Factors
8.
Clin Nutr ; 2021 Aug 16.
Article in English | MEDLINE | ID: covidwho-1356177

ABSTRACT

BACKGROUND & AIMS: Sarcopenia, a loss of muscle mass, quality and function, which is particularly evident in respiratory muscles, has been associated with many clinical adverse outcomes. In this study, we aimed at evaluating the role of reduced muscle mass and quality in predicting ventilation weaning, complications, length of intensive care unit (ICU) and of hospital stay and mortality in patients admitted to ICU for SARS-CoV-2-related pneumonia. METHODS: This was an observational study based on a review of medical records of all adult patients admitted to the ICU of a tertiary hospital in Milan and intubated for SARS-CoV-2-related pneumonia during the first wave of the COVID-19 pandemic. Muscle mass and quality measurement were retrieved from routine thoracic CT scans, when sections passing through the first, second or third lumbar vertebra were available. RESULTS: A total of 81 patients were enrolled. Muscle mass was associated with successful extubation (OR 1.02, 95% C.I. 1.00-1.03, p = 0.017), shorter ICU stay (OR 0.97, 95% C.I. 0.95-0.99, p = 0.03) and decreased hospital mortality (HR 0.98, 95% C.I. 0.96-0.99, p = 0.02). Muscle density was associated with successful extubation (OR 1.07, 95% C.I. 1.01-1.14; p = 0.02) and had an inverse association with the number of complications in ICU (Β -0.07, 95% C.I. -0.13 - -0.002, p = 0.03), length of hospitalization (Β -1.36, 95% C.I. -2.21 - -0.51, p = 0.002) and in-hospital mortality (HR 0.88, 95% C.I. 0.78-0.99, p = 0.046). CONCLUSIONS: Leveraging routine CT imaging to measure muscle mass and quality might constitute a simple, inexpensive and powerful tool to predict survival and disease course in patients with COVID-19. Preserving muscle mass during hospitalisation might have an adjuvant role in facilitating remission from COVID-19.

9.
J Crit Care ; 66: 14-19, 2021 12.
Article in English | MEDLINE | ID: covidwho-1351740

ABSTRACT

PURPOSE: To determine whether Macklin effect (a linear collection of air contiguous to the bronchovascular sheath) on baseline CT imaging is an accurate predictor for subsequent pneumomediastinum (PMD)/pneumothorax (PNX) development in invasively ventilated patients with COVID-19-related acute respiratory distress syndrome (ARDS). MATERIALS AND METHODS: This is an observational, case-control study. From a prospectively acquired database, all consecutive invasively ventilated COVID-19 ARDS patients who underwent at least one baseline chest CT scan during the study time period (February 25th, 2020-December 31st, 2020) were identified; those who had tracheal lesion or already had PMD/PNX at the time of the first available chest imaging were excluded. RESULTS: 37/173 (21.4%) patients enrolled had PMD/PNX; specifically, 20 (11.5%) had PMD, 10 (5.8%) PNX, 7 (4%) both. 33/37 patients with subsequent PMD/PNX had Macklin effect on baseline CT (89.2%, true positives) 8.5 days [range, 1-18] before the first actual radiological evidence of PMD/PNX. Conversely, 6/136 patients without PMD/PNX (4.4%, false positives) demonstrated Macklin effect (p < 0.001). Macklin effect yielded a sensitivity of 89.2% (95% confidence interval [CI]: 74.6-96.9), a specificity of 95.6% (95% CI: 90.6-98.4), a positive predictive value (PV) of 84.5% (95% CI: 71.3-92.3), a negative PV of 97.1% (95% CI: 74.6-96.9) and an accuracy of 94.2% (95% CI: 89.6-97.2) in predicting PMD/PNX (AUC:0.924). CONCLUSIONS: Macklin effect accurately predicts, 8.5 days in advance, PMD/PNX development in COVID-19 ARDS patients.


Subject(s)
COVID-19 , Mediastinal Emphysema , Pneumothorax , Respiratory Distress Syndrome , Case-Control Studies , Humans , Mediastinal Emphysema/diagnostic imaging , Respiratory Distress Syndrome/diagnostic imaging , SARS-CoV-2
11.
Nutr Metab Cardiovasc Dis ; 31(7): 2156-2164, 2021 06 30.
Article in English | MEDLINE | ID: covidwho-1249046

ABSTRACT

BACKGROUND AND AIMS: Obesity-related cardiometabolic risk factors associate with COVID-19 severity and outcomes. Epicardial adipose tissue (EAT) is associated with cardiometabolic disturbances, is a source of proinflammatory cytokines and a marker of visceral adiposity. We investigated the relation between EAT characteristics and outcomes in COVID-19 patients. METHODS AND RESULTS: This post-hoc analysis of a large prospective investigation included all adult patients (≥18 years) admitted to San Raffaele University Hospital in Milan, Italy, from February 25th to April 19th, 2020 with confirmed SARS-CoV-2 infection who underwent a chest computed tomography (CT) scan for COVID-19 pneumonia and had anthropometric data available for analyses. EAT volume and attenuation (EAT-At, a marker of EAT inflammation) were measured on CT scan. Primary outcome was critical illness, defined as admission to intensive care unit (ICU), invasive ventilation or death. Cox regression and regression tree analyses were used to assess the relationship between clinical variables, EAT characteristics and critical illness. One-hundred and ninety-two patients were included (median [25th-75th percentile] age 60 years [53-70], 76% men). Co-morbidities included overweight/obesity (70%), arterial hypertension (40%), and diabetes (16%). At multivariable Cox regression analysis, EAT-At (HR 1.12 [1.04-1.21]) independently predicted critical illness, while increasing PaO2/FiO2 was protective (HR 0.996 [95% CI 0.993; 1.00]). CRP, plasma glucose on admission, EAT-At and PaO2/FiO2 identified five risk groups that significantly differed with respect to time to death or admission to ICU (log-rank p < 0.0001). CONCLUSION: Increased EAT attenuation, a marker of EAT inflammation, but not obesity or EAT volume, predicts critical COVID-19. TRIAL REGISTRATION: NCT04318366.


Subject(s)
Adiposity , COVID-19/diagnostic imaging , Intra-Abdominal Fat/diagnostic imaging , Obesity/diagnostic imaging , Radiography, Thoracic , Tomography, X-Ray Computed , Aged , COVID-19/mortality , COVID-19/physiopathology , COVID-19/therapy , Female , Hospital Mortality , Humans , Intra-Abdominal Fat/physiopathology , Italy , Male , Middle Aged , Obesity/mortality , Obesity/physiopathology , Pericardium , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Assessment , Risk Factors
12.
Clin Imaging ; 77: 194-201, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1226279

ABSTRACT

BACKGROUND: The aim of this study was to quantify COVID-19 pneumonia features using CT performed at time of admission to emergency department in order to predict patients' hypoxia during the hospitalization and outcome. METHODS: Consecutive chest CT performed in the emergency department between March 1st and April 7th 2020 for COVID-19 pneumonia were analyzed. The three features of pneumonia (GGO, semi-consolidation and consolidation) and the percentage of well-aerated lung were quantified using a HU threshold based software. ROC curves identified the optimal cut-off values of CT parameters to predict hypoxia worsening and hospital discharge. Multiple Cox proportional hazards regression was used to analyze the capability of CT quantitative features, demographic and clinical variables to predict the time to hospital discharge. RESULTS: Seventy-seven patients (median age 56-years-old, 51 men) with COVID-19 pneumonia at CT were enrolled. The quantitative features of COVID-19 pneumonia were not associated to age, sex and time-from-symptoms onset, whereas higher number of comorbidities was correlated to lower well-aerated parenchyma ratio (rho = -0.234, p = 0.04) and increased semi-consolidation ratio (rho = -0.303, p = 0.008). Well-aerated lung (≤57%), semi-consolidation (≥17%) and consolidation (≥9%) predicted worst hypoxemia during hospitalization, with moderate areas under curves (AUC 0.76, 0.75, 0.77, respectively). Multiple Cox regression identified younger age (p < 0.01), female sex (p < 0.001), longer time-from-symptoms onset (p = 0.049), semi-consolidation ≤17% (p < 0.01) and consolidation ≤13% (p = 0.03) as independent predictors of shorter time to hospital discharge. CONCLUSION: Quantification of pneumonia features on admitting chest CT predicted hypoxia worsening during hospitalization and time to hospital discharge in COVID-19 patients.


Subject(s)
COVID-19 , Female , Hospitalization , Humans , Hypoxia/diagnostic imaging , Lung/diagnostic imaging , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
13.
J Clin Med ; 10(9)2021 May 04.
Article in English | MEDLINE | ID: covidwho-1224042

ABSTRACT

BACKGROUND: Myocarditis lacks systematic characterization in COVID-19 patients. METHODS: We enrolled consecutive patients with newly diagnosed myocarditis in the context of COVID-19 infection. Diagnostic and treatment strategies were driven by a dedicated multidisciplinary disease unit for myocarditis. Multimodal outcomes were assessed during prospective follow-up. RESULTS: Seven consecutive patients (57% males, age 51 ± 9 y) with acute COVID-19 infection received a de novo diagnosis of myocarditis. Endomyocardial biopsy was of choice in hemodynamically unstable patients (n = 4, mean left ventricular ejection fraction (LVEF) 25 ± 9%), whereas cardiac magnetic resonance constituted the first exam in stable patients (n = 3, mean LVEF 48 ± 10%). Polymerase chain reaction (PCR) analysis revealed an intra-myocardial SARS-CoV-2 genome in one of the six cases undergoing biopsy: in the remaining patients, myocarditis was either due to other viruses (n = 2) or virus-negative (n = 3). Hemodynamic support was needed for four unstable patients (57%), whereas a cardiac device implant was chosen in two of four cases showing ventricular arrhythmias. Medical treatment included immunosuppression (43%) and biological therapy (29%). By the 6-month median follow-up, no patient died or experienced malignant arrhythmias. However, two cases (29%) were screened for heart transplantation. CONCLUSIONS: Myocarditis associated with acute COVID-19 infection is a spectrum of clinical manifestations and underlying etiologies. A multidisciplinary approach is the cornerstone for tailored management.

14.
Phys Med ; 85: 63-71, 2021 May.
Article in English | MEDLINE | ID: covidwho-1220831

ABSTRACT

PURPOSE: To train and validate a predictive model of mortality for hospitalized COVID-19 patients based on lung densitometry. METHODS: Two-hundred-fifty-one patients with respiratory symptoms underwent CT few days after hospitalization. "Aerated" (AV), "consolidated" (CV) and "intermediate" (IV) lung sub-volumes were quantified by an operator-independent method based on individual HU maximum gradient recognition. AV, CV, IV, CV/AV, IV/AV, and HU of the first peak position were extracted. Relevant clinical parameters were prospectively collected. The population was composed by training (n = 166) and validation (n = 85) consecutive cohorts, and backward multi-variate logistic regression was applied on the training group to build a CT_model. Similarly, models including only clinical parameters (CLIN_model) and both CT/clinical parameters (COMB_model) were developed. Model's performances were assessed by goodness-of-fit (H&L-test), calibration and discrimination. Model's performances were tested in the validation group. RESULTS: Forty-three patients died (25/18 in training/validation). CT_model included AVmax (i.e. maximum AV between lungs), CV and CV/AE, while CLIN_model included random glycemia, C-reactive protein and biological drugs (protective). Goodness-of-fit and discrimination were similar (H&L:0.70 vs 0.80; AUC:0.80 vs 0.80). COMB_model including AVmax, CV, CV/AE, random glycemia, biological drugs and active cancer, outperformed both models (H&L:0.91; AUC:0.89, 95%CI:0.82-0.93). All models showed good calibration (R2:0.77-0.97). Despite several patient's characteristics were different between training and validation cohorts, performances in the validation cohort confirmed good calibration (R2:0-70-0.81) and discrimination for CT_model/COMB_model (AUC:0.72/0.76), while CLIN_model performed worse (AUC:0.64). CONCLUSIONS: Few automatically extracted densitometry parameters with clear functional meaning predicted mortality of COVID-19 patients. Combined with clinical features, the resulting predictive model showed higher discrimination/calibration.


Subject(s)
COVID-19 , Densitometry , Humans , Lung , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
16.
Panminerva Med ; 2021 Apr 16.
Article in English | MEDLINE | ID: covidwho-1190730

ABSTRACT

BACKGROUND: Non-invasive mechanical ventilation (NIV) is effective for symptom relief and respiratory support in patients with respiratory insufficiency, severe comorbidities and no indication to intubation. Experience with NIV as the ceiling of treatment in severely compromised novel coronavirus disease (COVID-19) patients is lacking. METHODS: We evaluated 159 patients with COVID-19-related acute respiratory syndrome (ARDS), 38 of whom with NIV as the ceiling of treatment, admitted to an ordinary ward and treated with continuous positive airway pressure (CPAP) and respiratory physiotherapy. Treatment failure and death were correlated with clinical and laboratory parameters in the whole cohort and in patients with NIV as the ceiling of treatment. RESULTS: Patients who had NIV as the ceiling of treatment were elderly, with a low BMI and a high burden of comorbidities, showed clinical and laboratory signs of multi-organ insufficiency on admission and of rapidly deteriorating vital signs during the first week of treatment. NIV failure occurred overall in 77 (48%) patients, and 27/38 patients with NIV as the ceiling of treatment died. Congestive heart failure, chronic benign haematological diseases and inability/refusal to receive respiratory physiotherapy were independently associated to NIV failure and mortality. Need for increased positive end-expiratory pressures and low platelets were associated with NIV failure. Death was associated to cerebrovascular disease, need for CPAP cycles longer than 12h and, in the subgroup of patients with NIV as the ceiling of treatment, was heralded by vital sign deterioration within 48 h. CONCLUSIONS: NIV and physiotherapy are a viable treatment option for patients with severe COVID-19 and severe comorbidities.

18.
Andrology ; 9(4): 1043-1052, 2021 07.
Article in English | MEDLINE | ID: covidwho-1105200

ABSTRACT

BACKGROUND: Circulating androgens could have a relevant pathobiological role in clinical outcomes in men with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (COVID-19). OBJECTIVES: We aimed to assess: (a) circulating sex steroids levels in a cohort of 286 symptomatic men with laboratory-confirmed COVID-19 at hospital admission compared to a cohort of 281 healthy men; and (b) the association between serum testosterone levels (tT), COVID-19, and clinical outcomes. MATERIALS AND METHODS: Demographic, clinical, and hormonal values were collected for all patients. Hypogonadism was defined as tT ≤9.2 nmol/l. The Charlson Comorbidity Index (CCI) was used to score health-significant comorbidities. Severe clinical outcomes were defined as patients either transferred to intensive care unit (ICU) or death. Descriptive statistics and multivariable linear and logistic regression models tested the association between clinical and laboratory variables and tT levels. Univariable and multivariable logistic regression models tested the association between tT and severe clinical outcomes. RESULTS: Overall, a significantly lower levels of LH and tT were found in patients with COVID-19 compared to healthy controls (all p < 0.0001); conversely, healthy controls depicted lower values of circulating E2 (p < 0.001). Testosterone levels suggestive for hypogonadism were observed in 257 (89.8%) patients at hospital admission. In as many as 243 (85%) cases, hypogonadism was secondary. SARS-CoV-2 infection status was independently associated with lower tT levels (p < 0.0001) and greater risk of hypogonadism (p < 0.0001), after accounting for age, BMI, CCI, and IL-6 values. Lower tT levels were associated with higher risk of ICU admission and death outcomes (all p ≤ 0.05), after accounting for clinical and laboratory parameters. CONCLUSIONS: We unveil an independent association between SARS-CoV-2 infection status and secondary hypogonadism already at hospital admission, with lower testosterone levels predicting the most severe clinical outcomes.


Subject(s)
COVID-19/blood , Testosterone/blood , Adult , Aged , Biomarkers/blood , COVID-19/complications , Case-Control Studies , Cohort Studies , Gonadal Steroid Hormones/blood , Humans , Hypogonadism/blood , Hypogonadism/etiology , Male , Middle Aged , Treatment Outcome
19.
J Cardiothorac Vasc Anesth ; 35(12): 3642-3651, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1065998

ABSTRACT

OBJECTIVE: To determine the incidence, predictors, and outcome of pneumothorax (PNX)/pneumomediastinum (PMD) in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS). DESIGN: Observational study. SETTING: Tertiary-care university hospital. PARTICIPANTS: One hundred sixteen consecutive critically ill, invasively ventilated patients with COVID-19 ARDS. INTERVENTIONS: The authors collected demographic, mechanical ventilation, imaging, laboratory, and outcome data. Primary outcome was the incidence of PNX/PMD. Multiple logistic regression analyses were performed to identify predictors of PNX/PMD. MEASUREMENTS AND MAIN RESULTS: PNX/PMD occurred in a total of 28 patients (24.1%), with 22 patients developing PNX (19.0%) and 13 developing PMD (11.2%). Mean time to development of PNX/PMD was 14 ± 11 days from intubation. The authors found no significant difference in mechanical ventilation parameters between patients who developed PNX/PMD and those who did not. Mechanical ventilation parameters were within recommended limits for protective ventilation in both groups. Ninety-five percent of patients with PNX/PMD had the Macklin effect (linear collections of air contiguous to the bronchovascular sheaths) on a baseline computed tomography scan, and tended to have a higher lung involvement at intensive care unit (ICU) admission (Radiographic Assessment of Lung Edema score 32.2 ± 13.4 v 18.7 ± 9.8 in patients without PNX/PMD, p = 0.08). Time from symptom onset to intubation and time from total bilirubin on day two after ICU admission were the only independent predictors of PNX/PMD. Mortality was 60.7% in patients who developed PNX/PMD versus 38.6% in those who did not (p = 0.04). CONCLUSION: PNX/PMD occurs frequently in COVID-19 patients with ARDS requiring mechanical ventilation, and is associated with increased mortality. Development of PNX/PMD seems to occur despite use of protective mechanical ventilation and has a radiologic predictor sign.


Subject(s)
COVID-19 , Mediastinal Emphysema , Pneumothorax , Humans , Mediastinal Emphysema/diagnostic imaging , Mediastinal Emphysema/epidemiology , Pneumothorax/diagnostic imaging , Pneumothorax/epidemiology , Pneumothorax/etiology , Respiration, Artificial/adverse effects , SARS-CoV-2
20.
Applied Sciences ; 11(3):1238, 2021.
Article in English | MDPI | ID: covidwho-1055013

ABSTRACT

The ongoing COVID-19 pandemic currently involves millions of people worldwide. Radiology plays an important role in the diagnosis and management of patients, and chest computed tomography (CT) is the most widely used imaging modality. An automatic method to characterize the lungs of COVID-19 patients based on individually optimized Hounsfield unit (HU) thresholds was developed and implemented. Lungs were considered as composed of three components—aerated, intermediate, and consolidated. Three methods based on analytic fit (Gaussian) and maximum gradient search (using polynomial and original data fits) were implemented. The methods were applied to a population of 166 patients scanned during the first wave of the pandemic. Preliminarily, the impact of the inter-scanner variability of the HU-density calibration curve was investigated. Results showed that inter-scanner variability was negligible. The median values of individual thresholds th1 (between aerated and intermediate components) were −768, −780, and −798 HU for the three methods, respectively. A significantly lower median value for th2 (between intermediate and consolidated components) was found for the maximum gradient on the data (−34 HU) compared to the other two methods (−114 and −87 HU). The maximum gradient on the data method was applied to quantify the three components in our population—the aerated, intermediate, and consolidation components showed median values of 793 ±499 cc, 914 ±291 cc, and 126 ±111 cc, respectively, while the median value of the first peak was −853 ±56 HU.

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