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A 69-year-old woman with arterial hypertension treated daily by hydrochlorothiazide and angiotensin receptor antagonist received a first dose of Oxford–AstraZeneca vaccine. Eleven days after the vaccination, the patient developed headache associated with behavioral symptoms. At day 13, her daughter found her unconscious. Physical examination revealed a coma Glasgow 4/15, right mydriasis, bilateral Babinski reflex without hemodynamic instability or respiratory failure. She was intubated and transferred in our intensive care unit.

This case report describes immune thrombocytopenic purpura in a 41-year-old man hospitalized in the intensive-care unit for COVID-19, 13 days after the onset of COVID-19 symptoms with respiratory failure at admission. Acute respiratory distress syndrome was treated with, among other drugs, low-molecular-weight heparin. On day 8, his platelet count began descending rapidly. On day 10, heparin treatment was replaced by danaparoid sodium, but by day 13, the continued low platelet count made a diagnosis of heparin-induced thrombocytopenia unlikely. Normocytic nonregenerative anemia gradually developed. On day 13, a bone marrow aspiration showed numerous megakaryocytes and a few signs of hemophagocytosis. Corticosteroids were introduced on day 14, and platelets began rising after 3 days and then fell again on day 19. Intravenous immunoglobulin (IV Ig) was then administered. Two days later, the platelet count returned to normal. The immune cause was confirmed by ruling out the differential diagnoses and the excellent and rapid response to intravenous immunoglobulins. Finally, the patient's respiratory state improved. He was discharged to a respiratory rehabilitation unit on day 38. Our case suggests that an immunological cause should be considered in patients with thrombocytopenia during COVID-19.

Background High-flow nasal oxygen therapy (HFNC) may be an attractive first-line ventilatory support in COVID-19 patients. However, HNFC use for the management of COVID-19 patients and risk factors for HFNC failure remain to be determined. Methods In this retrospective study, we included all consecutive COVID-19 patients admitted to our intensive care unit (ICU) in the first (Mars-May 2020) and second (August 2020- February 202) French pandemic waves. Patients with limitations for intubation were excluded. HFNC failure was defined as the need for intubation after ICU admission. The impact of HFNC use was analyzed in the whole cohort and after constructing a propensity score. Risk factors for HNFC failure were identified through a landmark time-dependent cause-specific Cox model. The ability of the 6-h ROX index to detect HFNC failure was assessed by generating receiver operating characteristic (ROC) curve. Results 200 patients were included: HFNC was used in 114(57%) patients, non-invasive ventilation in 25(12%) patients and 145(72%) patients were intubated with a median delay of 0 (0–2) days after ICU admission. Overall, 78(68%) patients had HFNC failure. Patients with HFNC failure had a higher ICU mortality rate (34 vs. 11%, p = 0.02) than those without. At landmark time of 48 and 72 h, SAPS-2 score, extent of CT-Scan abnormalities > 75% and HFNC duration (cause specific hazard ratio (CSH) = 0.11, 95% CI (0.04–0.28), per + 1 day, p < 0.001 at 48 h and CSH = 0.06, 95% CI (0.02–0.23), per + 1 day, p < 0.001 at 72 h) were associated with HFNC failure. The 6-h ROX index was lower in patients with HFNC failure but could not reliably predicted HFNC failure with an area under ROC curve of 0.65 (95% CI(0.52–0.78), p = 0.02). In the matched cohort, HFNC use was associated with a lower risk of intubation (CSH = 0.32, 95% CI (0.19–0.57), p < 0.001). Conclusions In critically-ill COVID-19 patients, while HFNC use as first-line ventilatory support was associated with a lower risk of intubation, more than half of patients had HFNC failure. Risk factors for HFNC failure were SAPS-2 score and extent of CT-Scan abnormalities > 75%. The risk of HFNC failure could not be predicted by the 6-h ROX index but decreased after a 48-h HFNC duration.

Background Mechanical ventilation (MV) in ICU patients may impact hemodynamics and renal function. We aimed to describe the interactions of MV settings, hemodynamic parameters and worsening of renal function (WRF). Methods We included adult patients admitted for the first time in the ICU from the MIMIC-III database. Mean arterial blood pressure (mABP), central venous pressure (CVP) and positive end-expiratory pressure (PEEP) were collected and summarized as a time-weighted mean. The main outcome was WRF defined as acute kidney injury (AKI) occurrence or one-KDIGO stage worsening compared to the KDIGO stage the day before. We used a multinomial logistic regression at day 1 (ldmk-1) and day 2 (ldmk-2) according to a landmark-approach, with a two-days sliding perspective. Results 27,248/61,051 patients met the inclusion criteria (15,258 male (56.0%); 60.1% over 60 y). ICU and hospital mortality were 7.4 and 10.7%, respectively. MV was independently associated with WRF in the ldmrk-1 and -2 models (relative risk ratio [RRR] 8.15 [6.58;10.11] and 7.08 [3.97;12.61] at day-3 and 4, respectively). In MV patients, PEEP was associated with WRF in the ldmrk-1 and -2 models (RRR 1.36 [1.16, 1.6] and 1.17 [0.88, 1.56] by 1 cmH2O increase at day-3 and 4, respectively). Mean perfusion pressure decreased while central venous pressure increased over PEEP categories. In multivariable analysis, mABP, CVP and PEEP were independently associated with WRF. Conclusion In this large cohort of ICU patients, we observed a strong relationship between MV and WRF. PEEP was associated with WRF in MV patients. This association relied at least partly on renal venous congestion.

The adequacy of initial antimicrobial treatment is a strong determinant of prognosis in septic shock. The prototypic synergistic combination of beta-lactams with aminoglycosides appears as an attractive therapeutic option, but its actual benefit remains elusive [1, 2]. We took advantage of a large comprehensive cohort of septic shock to address the impact of aminoglycosides on mortality, with respect to their pharmacodynamic and pharmacokinetic properties.

We conducted a retrospective study on hemolytic uremic syndrome caused by Shiga toxin–producing Escherichia coli (STEC) in 96 adults enrolled in the cohort of the National Reference Center for Thrombotic Microangiopathies network in France during 2009–2017. Most infections were caused by STEC strains not belonging to the O157 or O104 serogroups. Thirty (31.3%) patients had multiple risk factors for thrombotic microangiopathy. In total, 61 (63.5%) patients required dialysis, 50 (52.1%) had a serious neurologic complication, 34 (35.4%) required mechanical ventilation, and 19 (19.8%) died during hospitalization. We used multivariate analysis to determine that the greatest risk factors for death were underlying immunodeficiency (hazard ratio 3.54) and severe neurologic events (hazard ratio 3.40). According to multivariate analysis and propensity score-matching, eculizumab treatment was not associated with survival. We found that underlying conditions, especially immunodeficiency, are strongly associated with decreased survival in adults who have hemolytic uremic syndrome caused by STEC.

Chronic kidney disease (CKD) is a frequent and serious complication of atypical haemolytic uremic syndrome (aHUS). We aimed to develop a simple accurate model to predict the risk of renal dysfunction in aHUS based on clinical and biological features available at hospital admission. Renal function at 1-year follow-up, based on an estimated glomerular filtration rate < 60mL/min/1.73m2 as assessed by the Modification of Diet in Renal Disease equation, was used as an indicator of significant CKD. Prospectively collected data from a cohort of 156 aHUS patients who did not receive eculizumab were used to identify predictors of CKD. Covariates associated with renal impairment were identified by multivariate analysis. The model performance was assessed and a scoring system for clinical practice was constructed from the regression coefficient. Multivariate analyses identified three predictors of CKD: a high serum creatinine level, a high mean arterial pressure and a mildly decreased platelet count. The prognostic model had a good discriminative ability (area under the curve = .84). The scoring system ranged from 0 to 5, with corresponding risks of CKD ranging from 18% to 100%. This model accurately predicts development of 1-year CKD in patients with aHUS using clinical and biological features available on admission. After further validation, this model may assist in clinical decision making.

BackgroundPost-cardiac arrest myoclonus (PCAM) is a frequent finding in resuscitated patients after cardiac arrest (CA), with rather poor prognostic significance. In this study, we evaluated the association of PCAM within intensive care unit (ICU) mortality from a university hospital CA patients’ registry.MethodsClinical data of consecutive CA survivors admitted in the intensive care unit (ICU) between January and December 2016 at the Paris Cochin University Hospital were assessed from the Parisian registry of cardiac arrest (PROCAT) and analyzed. Neurologic outcome was assessed using the Cerebral Performance Categories (CPC) scale at ICU discharge. Prevalence of PCAM and their association with mortality at ICU discharge were computed.ResultsOne hundred thirty-two (132) patients were included (73.5% males), median age of 66 years. Among them, 37 (28%) developed PCAM during their ICU stay. Only two patients with PCAM survived (5.4%). PCAM was strongly associated with mortality at ICU discharge (odds ratio 17.5 [4.2–123.2]). Sensitivity, specificity, PPV, and NPV of PCAM for prediction of death were 41%, 96%, 95%, and 46%, respectively.ConclusionPCAM was observed in nearly one-third of CA patients admitted in ICU. Patients with PCAM had a significantly higher likelihood of ICU mortality and a low likelihood of a good outcome. The prognostic value of PCAM seems rather bleak but remains nuanced and merits study in larger-scale prospective studies taking into account confounding factors.

Introduction: Acute kidney injury (AKI) is frequently observed in patients with COVID-19 admitted to intensive care units (ICUs). Observational studies suggest that cardiovascular comorbidities and mechanical ventilation (MV) are the most important risk factors for AKI. However, no studies have investigated the renal impact of longitudinal covariates such as drug treatments, biological variations, and/or MV parameters. Methods: We performed a monocentric, prospective, longitudinal analysis to identify the dynamic risk factors for AKI in ICU patients with severe COVID-19. Results: Seventy-seven patients were included in our study (median age: 63 [interquartile range, IQR: 53-73] years; 58 (75%) men). Acute kidney injury was detected in 28 (36.3%) patients and occurred at a median time of 3 [IQR: 2-6] days after ICU admission. Multivariate Cox cause-specific time-dependent analysis identified a history of hypertension (cause-specific hazard (CSH) = 2.46 [95% confidence interval, CI: 1.04-5.84]; P = .04), a high hemodynamic Sequential Organ Failure Assessment score (CSH = 1.63 [95% CI: 1.23-2.16]; P < .001), and elevated Paco2 (CSH = 1.2 [95%CI: 1.04-1.39] per 5 mm Hg increase in Pco2; P = .02) as independent risk factors for AKI. Concerning the MV parameters, positive end-expiratory pressure (CSH = 1.11 [95% CI: 1.01-1.23] per 1 cm H2O increase; P = .04) and the use of neuromuscular blockade (CSH = 2.96 [95% CI: 1.22-7.18]; P = .02) were associated with renal outcome only in univariate analysis but not after adjustment. Conclusion: Acute kidney injury is frequent in patients with severe COVID-19 and is associated with a history of hypertension, the presence of hemodynamic failure, and increased Pco2. Further studies are necessary to evaluate the impact of hypercapnia on increasing the effects of ischemia, particularly in the most at-risk vascular situations.