ABSTRACT
Background: Acute kidney injury (AKI) is frequent in sepsis (25 to 51%), with high mortality (40 to 80%) and long-term complications. Despite its importance we do not have accessible markers in intensive care. In other entities (post-surgical and COVID-19) the neutrophil/lymphocyte and platelet (N/LP) ratio has been associated with acute kidney injury;however, this relationship has not been studied in a pathology with a severe inflammatory response such as sepsis. Objective: To demonstrate the association between N/LP with AKI secondary to sepsis in intensive care. Material and methods: Ambispective cohort study in patients over 18 years who were admitted to intensive care with a diagnosis of sepsis. The N/LP ratio was calculated from admission up to the seventh day and up to the diagnosis of AKI and outcome. Statistical analysis was performed with chi squared test, Cramer's V and multivariate logistic regression. Results: Out of the 239 patients studied, the incidence of AKI developed in 70%. 80.9% of patients with N/LP ratio > 3 had AKI (p < 0.0001, Cramer's V 0.458, OR 3.05, 95% CI 1.602-5.8) and increased renal replacement therapy (21.1 vs. 11.1%, p = 0.043). Conclusion: N/LP ratio > 3 has a moderate association with AKI secondary to sepsis in the intensive care unit. Copyright © 2023 Revista Medica del Instituto Mexicano del Seguro Social.
ABSTRACT
BACKGROUND: Acute respiratory distress syndrome, due to SARS-CoV-2, is a worldwide health problem. The neutrophil-lymphocyte index allows risk stratification in patients with severe and poor prognostic data, since it reflects the inflammatory state. OBJECTIVE: To determine whether the Neutrophil-Lymphocyte Index delta predicts mortality in patients with COVID-19. MATERIAL AND METHODS: We conducted a longitudinal, comparative study in patients with COVID-19, older than 18 years, admitted to the ICU. We evaluated HAS, DM, obesity, COPD, asthma, PaO2/FiO2, tomographic severity. On admission and on days 3 and 7 we measured Neutrophil-Lymphocyte Index, SOFA and APACHE score. For statistical analysis, we performed ROC and Kaplan-Meyer curves. RESULTS: We included 180 patients with COVID-19, 63 died (35%). Delta INL1(Day1-day3)>4.11 was associated with mortality (AUC:0.633);sensitivity 55.56% and specificity 77.78%, CI95 0.55-0.70, for delta INL2 (Day1-day7)>8.95 (AUC:0.623);sensitivity 44.44% and specificity 84.62%, CI95 0.54-0.69. Difference in survival was observed for Delta1. SOFA scale >6, was associated with more days of mechanical ventilation and lower PaO2/FiO2 (p<0.001). CONCLUSIONS: INL delta between the day of ICU admission and the 3rd day of evolution is a predictor of mortality in critically ill patients.
ABSTRACT
Infectious diseases are latent threats to humankind. Control theoretical approaches can help practitioners to advance the scheduling of drugs. For the case of infectious diseases, it is not possible to keep continuous flow of drug administration over all time-steps, thus the action of the control input has to be restricted at some of the kth instants. This paper presents the adaptation of inverse optimal control to positive impulsive systems in discrete-time to schedule therapies. The properties of positive systems are used to simplify the control design. Thus, the problem of scheduling therapies in infectious diseases is illustrated with influenza and COVID-19. Numerical results show the applicability of the control algorithms. © 2022 John Wiley & Sons Ltd.
ABSTRACT
Background: Several reports have shown that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may trigger a vigorous immune response that could lead to the appearance of various autoantibodies such as antinuclear antibodies, antiphospholipid antibodies or anti-neutrophil cytoplasmic antibodies, among others. Moreover, the pulmonary involvement in SARSCoV-2 may resemble that of patients with anti-MDA5 positive syndrome or acute form of antisynthetase syndrome. Objectives: Our aim was to analyse the presence of anti-MDA5 and other myositis-specific autoantibodies such as the antisynthetase antibodies in patients diagnosed with severe acute respiratory syndrome caused by SARS-CoV-2. Methods: Retrospective observational study performed in a tertiary care center. We included 28 patients admitted to the intensive care unit with severe acute respiratory syndrome, 14 at the onset of the disease (group A) and 14 after 30 days of being treated in an intensive care unit (group B). Chest CT was performed at the admission. We analyzed the presence of anti-MDA5 and antisynthetase antibodies by immunoblot (Euroimmune®) and in those who were positive we performed a confirmatory test by immunoprecipitation. Results: All chest CT showed bilateral ground glass pattern. Three out of 14 patients of group A (12 males, 86%, mean ± SD age 67.1 ± 12.2) were positive for antisynthetase antibodies (2 anti-PL7, 1 anti-Jo1), and 6 out of 14 patients of the group B (6 males, 48%, mean ± SD age 68.7 ± 8.1) were positive to antisynthetase antibodies (2 anti-PL7, 2 anti-PL-12, 1 anti-EJ, 1 anti-OJ+PL7). Immunoblots also show positivity for other myositis-specific or associated antibodies, such as anti-TIF1g, anti-PM75, anti-SAE and anti-SRP. All of these results found by immunoblotting were negative by immunoprecipitation. None of the 28 patients were positive for anti-MDA5 antibodies. Conclusion: Severe SARS-CoV-2 pneumonia is characterized by ground glass pattern in chest CT, as it is found in anti-MDA5 or antisynthetase syndrome. The positivity of several myositis related autoantibodies showed in immunoblot appears to be more related to the vigorous immune response producing polyclonal immunoglobulins than triggering a real myositis-associated interstitial lung disease. Clinicians must be aware about these false positive results in patients with severe COVID-19 acute respiratory syndrome.