BACKGROUND: ARDS is a serious complication of hematopoietic stem cell transplant (HSCT). Pre-transplant risk factors for developing ARDS after HSCT have been recently identified. The objective of this study was to better understand post-transplant risk factors for developing ARDS after HSCT. METHODS: This was a nested case-control study. ARDS cases were matched to hospitalized non-ARDS controls by age, type of transplantation (allogeneic vs autologous), and time from transplantation. In a conditional logistic regression model, any potential risk factors were adjusted a priori for risk factors known to be associated with ARDS development. RESULTS: One hundred and seventy ARDS cases were matched 1:1 to non-ARDS hospitalized controls. Pre-admission, cases were more likely to be on steroids (odds ratio [OR] 1.90 [1.13–3.19], P = .02). At time of admission, cases had lower platelet count (OR 0.95 [0.91–0.99], P = .02), lower bicarbonate (OR 0.94 [0.88–0.99], P = .035), and higher creatinine (OR 1.91 [1.23–2.94], P = .004). During the first 24 h after admission, cases were more likely to have received transfusion (OR 2.41 [1.48–3.94], P < .001), opioids (OR 2.94 [1.67–5.18], P < .001), and have greater fluid administration (OR 1.52 [1.30–1.78], P < .001). During the hospitalization, ARDS cases had higher temperature (OR 1.77 [1.34–2.33], P < .001) and higher breathing frequency (OR 1.52 [1.33–1.74], P < .001). ARDS cases were more likely to have had sepsis (OR 68.0 [15.2–301.7], P < .001), bloodstream infection (OR 4.59 [2.46–8.57], P < .001), and pneumonia (OR 9.76 [5.01–19.00], P < .001). CONCLUSIONS: Several post-transplant predictors of ARDS development specific to the HSCT population were identified in the pre-hospital and early in-hospital domains. These findings can provide insights into causal mechanisms of ARDS development and be used to develop HSCT-specific risk prediction models.
1113: IN-HOSPITAL RISK FACTORS FOR ACUTE RESPIRATORY DISTRESS SYNDROME AFTER BONE MARROW TRANSPLANTATION
BACKGROUND: Several markers of oxygenation are used as prognostic markers in acute hypoxemic respiratory failure. Real-world use is limited by the need for invasive measurements and unreliable availability in the electronic health record. A pragmatic, reliable, and accurate marker of acute hypoxemic respiratory failure is needed to facilitate epidemiologic studies, clinical trials, and shared decision-making with patients. F IO 2 is easily obtained at the bedside and from the electronic health record. The F IO 2 trajectory may be a valuable marker of recovery in patients with acute hypoxemic respiratory failure. METHODS: This was a historical cohort study of adult subjects admitted to an ICU with acute hypoxemic respiratory failure secondary to community-acquired pneumonia and/or ARDS. RESULTS: Our study included 2,670 subjects. F IO 2 and S pO 2 were consistently more available than was P aO 2 in the electronic health record: (F IO 2 vs S pO 2 vs P aO 2 : 100 vs 100 vs 72.8% on day 1, and 100 vs 99 vs 21% on day 5). A worsening F IO 2 trajectory was associated with reduced ventilator-free days. From days 2 to 5, every increase in F IO 2 by 10% from the previous day was associated with fewer ventilator-free days (on day 2: adjusted mean –1.25 [95% CI –1.45 to –1.05] d, P < .001). The S pO 2 /F IO 2 trajectory also provided prognostic information. On days 3 – 5, an increase in S pO 2 /F IO 2 from the previous day was associated with increased ventilator-free days (on day 3: adjusted mean 2.09 (95% CI 1.44–2.74) d; P < .001). S pO 2 /F IO 2 models did not add predictive information compared with models with F IO 2 alone (on day 2: adjusted F IO 2 vs S pO 2 /F IO 2 R2 0.122 vs 0.119; and on day 3: 0.153 vs 0.163). CONCLUSIONS: F IO 2 and S pO 2 /F IO 2 are pragmatic and readily available intermediate prognostic markers in acute hypoxic respiratory failure. The F IO 2 trajectory in the first 5 d of ICU admission provided important prognostic information (ventilator-free days). Although the S pO 2 /F IO 2 trajectory was also associated with ventilator-free days, it did not provide more information than the F IO 2 trajectory alone.
Plasma, platelet and red blood cell transfusion ratios for life‐threatening non‐traumatic haemorrhage in medical and post‐surgical patients: An observational study
Abstract Background and Objectives Despite the broad utilization of component‐based transfusion strategies that aim to reconstitute whole blood during acute traumatic haemorrhage, data for haemorrhage occurring outside of trauma and surgery are limited. Methods This is an observational cohort study of adults experiencing critical non‐traumatic, non‐intraoperative haemorrhage during hospitalization at an academic medical centre from 2011 to 2015. The primary goal was to evaluate differences in plasma and platelet to red blood cell (RBC) transfusion ratios across patient demographic, clinical and laboratory characteristics. Secondarily, associations between transfusion ratios and clinical outcomes were assessed. Results Seven hundred nine patients were included: 498 (70.2%) medical and 211 (29.8%) post surgical. The gastrointestinal tract (36.7%) was the most common site of bleeding. Most patients received RBCs without plasma (35.5%) or platelets (54.2%). Among those receiving plasma, 82.3% received a plasma to RBC ratio < 1:1 at 24 h. For platelets, the most common ratio was 1–2:1 (52.9%). Transfusion ratios were generally consistent across comorbid disease severity, admission type and anatomic sites of bleeding. Higher plasma utilization was observed in the emergency department, while greater platelet utilization occurred in intensive care units. Higher transfusion ratios were observed in those with greater laboratory haemostatic abnormalities prior to the haemorrhagic event. Clinical outcome differences were limited, though greater platelet utilization in the first 24 h was associated with higher mortality and fewer hospital‐free days. Conclusions Transfusion ratios for critical non‐traumatic haemorrhage were primarily related to laboratory abnormalities preceding the haemorrhagic event and practice environments. Clinical outcome differences across ratios were limited.
Comparison of Plasma Phosphorylated Tau Species With Amyloid and Tau Positron Emission Tomography, Neurodegeneration, Vascular Pathology, and Cognitive Outcomes
ABSTRACT Introduction: The impact of albumin resuscitation on sepsis outcomes is debated, particularly in the initial phase of resuscitation. We aimed to investigate the association between albumin use in the initial 6 h of resuscitation and subsequent outcomes in adult septic patients. Methods: This single-center, retrospective, propensity score-matched cohort study included adult patients admitted to intensive care units (ICUs) with sepsis or septic shock from January 1, 2006, to May 4, 2018, at a tertiary referral hospital. We compared two groups based on albumin receipt within the initial six resuscitation hours (albumin group vs. non-albumin group). We performed a 1:2 propensity score matching to assess shock-free time in ICU as the primary outcome. Results: Of 2,732 patients with medical sepsis, 286 cases in the albumin group were matched with 549 individuals in the non-albumin group. Compared to the non-albumin group, the albumin group required more intravenous fluids and had higher net fluid balance, lower mean arterial pressure, and lower serum base excess level in the initial 6 and 24 h of resuscitation. Shock-free time, ICU and hospital length of stay, and 28-day mortality were not different between albumin and non-albumin groups (56 vs. 66 h, P = 0.18; 3.5 days vs. 3.7 days, P = 0.61; 9.1 days vs. 9.5 days, P = 0.27; 36% vs. 32%, P = 0.25, respectively). Conclusions: Using albumin during the initial 6 h of resuscitation was not associated with benefits in clinical outcomes of patients with medical sepsis.
Characterizing the need for multiple epidural blood patches in the treatment of postdural puncture headache: an observational study
Abstract Background: SCT is a standard therapeutic approach for patients with MM and has contributed to improved outcomes. While SCT utilization in MM has increased for all racial-ethnic subgroups over time, population-based studies have repeatedly shown that racial minorities are less likely to receive it. We explored factors that determine SCT utilization among patients within a given race to understand intra-racial disparities and how to address them in order to maximize the use of this imperative treatment among eligible patients. Methods: The 2016 National Cancer Database (NCDB) for MM with patients diagnosed between 2004-2013 was studied. Cases without information on the selected patient or facility characteristics evaluated in this analysis, including SCT use, race, median income, insurance status or facility type of initial MM diagnosis and/or treatment were excluded. The association between utilization of SCT as part of initial therapy of MM and socio-demographic factors was studied stratifying patients into mutually exclusive racial-ethnic subgroups non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), Hispanics, non-Hispanic Asians (NHA) and others using multivariate GEE logistic regression analysis (clustered on facility ID). Interactions between race and patient/facility characteristics and SCT utilization were tested using similar methods but including all races. Results: Of the 123480 unique MM patients in NCDB diagnosed between 2004-2013, 111799 met the inclusion criteria. Of these, 15021 patients (13.4%) received SCT as part of initial MM therapy. Of those who received SCT, 77.5% were NHW (14.4% of all NHW), 15.1% NHB (10.3% of all NHB), 5.2% Hispanics (13.2% of all Hispanics), 2% NHA (15.5% of all NHA) and <1% others. There was no difference by gender but significantly reduced odds of receiving SCT were noted for every 10-year increase in age at diagnosis for all racial subgroups. NHA were the only subgroup not to have a significant year-wise increase over time in odds of receiving SCT between 2004-2013. A significant increase in SCT utilization was seen with increasing median income (quartiles; 2008-2012 data), for NHW and Hispanics but not for NHB and NHA, while increased education (% population with high-school degree; 2008-2012 data) was associated with a significant increase in SCT use for NHW and NHB, but not among Hispanics or NHA. An increase in great circle distance (GCD) from the treating facility as well as a lower Charlson-Deyo comorbidity index (CCI) was associated with significantly increased odds of receiving SCT for all racial groups. Insurancepayer status significantly affected odds of receiving SCT among all races with those having private insurance to be most likely to receive SCT among NHW, NHB and Hispanics while those with "other government" insurance payer type being most likely among NHA. Among treating facility characteristics, patients of all races were more likely to receive SCT if treated at an academic/researchfacility (including NCI-designated centers) or centers with highest quartile of patientvolume seen. For analysis by geographicalregion, NHW and NHA had the highest odds of receiving SCT in mountain region but there was no impact of geography on SCT for NHB or Hispanics. Odds ratio (OR) of receiving SCT as part of initial MM therapy by socio-demographic and facility characteristics for patients of individual racial subgroups are shown in Table 1. A significant interaction between odds of receiving SCT and various racial subgroups was noted for patient age at diagnosis (p<.001, decreased odds among NHW and NHA), GCD from treating facility (p=0.013, increased odds among NHB and NHA), CCI (p=0.043, decreased odds among NHA) and treatment facility volumes (p=0.046, increased odds among NHA and Hispanics). Conclusions: In the largest analysis exploring socio-demographic factors affecting SCT utilization in MM we note a significant disparity within races for who gets SCT as a part of initial MM management and who does not. While some of these factors are non-modifiable, others including access to healthcare, income, insurance and literacy levels, proximity to treatment center, treating facility type as well as volumes are modifiable and appear to be barriers to SCT among in some races, while not in others. These must be addressed to minimize disparities within racial subgroups, especially the minorities and realize maximal benefit of SCT for MM. Disclosures Ailawadhi: Novartis: Consultancy, Honoraria; Pharmacyclics: Research Funding; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Sher: LAM Therapeutics, Inc: Research Funding.