Histological examinations of the brain in control and OM groups.

(a) Hematoxylin and eosin staining in brains 72 h after cardiac arrest. (b) Quantification of damaged neurons in each group. (*: P = 0.004).</p

sj-pdf-2-jet-10.1177_15266028211054763 – Supplemental material for Short- and Long-Term Outcomes of Catheter-Directed Thrombolysis versus Pulmonary Artery Embolectomy in Pulmonary Embolism: A National Population-Based Study

Supplemental material, sj-pdf-2-jet-10.1177_15266028211054763 for Short- and Long-Term Outcomes of Catheter-Directed Thrombolysis versus Pulmonary Artery Embolectomy in Pulmonary Embolism: A National Population-Based Study by Donna Shu-Han Lin, Yu-Sheng Lin, Jen-Kuang Lee and Wen-Jone Chen in Journal of Endovascular Therapy</p

Study design and protocol for inducing cardiac arrest, resuscitation, drug administration, and monitoring.

Study design and protocol for inducing cardiac arrest, resuscitation, drug administration, and monitoring.</p

Neurological functioning scores in the study.

Total possible score, 0 to 12. (PDF)</p

Neurological outcome of control and OM groups at 6, 24, 48 and 72 h after cardiac arrest and resuscitation.

(*: P = 0.026).</p

Kaplan-Meier survival curve of control and OM groups 72 h after cardiac arrest and resuscitation.

(P = 0.386 by log-rank test).</p

Hemodynamic parameters of control and OM groups following cardiac arrest and resuscitation.

(a) Left ventricular ejection time. (b) Cardiac output. (c) Heart rate. (d) Left ventricular systolic function represented by dp/dt40. (n = 20 in each group, *: P<0.05 between two groups by mixed linear model analysis).</p

sj-docx-1-jet-10.1177_15266028211054763 – Supplemental material for Short- and Long-Term Outcomes of Catheter-Directed Thrombolysis versus Pulmonary Artery Embolectomy in Pulmonary Embolism: A National Population-Based Study

Supplemental material, sj-docx-1-jet-10.1177_15266028211054763 for Short- and Long-Term Outcomes of Catheter-Directed Thrombolysis versus Pulmonary Artery Embolectomy in Pulmonary Embolism: A National Population-Based Study by Donna Shu-Han Lin, Yu-Sheng Lin, Jen-Kuang Lee and Wen-Jone Chen in Journal of Endovascular Therapy</p

Table_1_Trajectories of Vital Signs and Risk of In-Hospital Cardiac Arrest.DOCX

Background: Little is known about the trajectories of vital signs prior to in-hospital cardiac arrest (IHCA), which could explain the heterogeneous processes preceding this event. We aimed to identify clinically relevant subphenotypes at high risk of IHCA in the emergency department (ED).Methods: This retrospective cohort study used electronic clinical warehouse data from a tertiary medical center. We retrieved data from 733,398 ED visits over a 7-year period. We selected one ED visit per person and retrieved patient demographics, triage data, vital signs (systolic blood pressure [SBP], heart rate [HR], body temperature, respiratory rate, oxygen saturation), selected laboratory markers, and IHCA status. Group-based trajectory modeling was performed.Results: There were 37,697 adult ED patients with a total of 1,507,121 data points across all vital-sign categories. Three to four trajectory groups per vital-sign category were identified, and the following five trajectory groups were associated with a higher rate of IHCA: low and fluctuating SBP, high and fluctuating HR, persistent hypothermia, recurring tachypnea, and low and fluctuating oxygen saturation. The IHCA-prone trajectory group was associated with a higher triage level and a higher mortality rate, compared to other trajectory groups. Except for the persistent hypothermia group, the other four trajectory groups were more likely to have higher levels of C-reactive protein, lactic acid, cardiac troponin I, and D-dimer. Multivariable analysis revealed that hypothermia (adjusted odds ratio [aOR], 2.20; 95% confidence interval [95%CI], 1.35–3.57) and recurring tachypnea (aOR 2.44; 95%CI, 1.24–4.79) were independently associated with IHCA.Conclusions: We identified five novel vital-sign sub-phenotypes associated with a higher likelihood of IHCA, with distinct patterns in clinical course and laboratory markers. A better understanding of the pre-IHCA vital-sign trajectories may help with the early identification of deteriorating patients.</p

Table_3_Trajectories of Vital Signs and Risk of In-Hospital Cardiac Arrest.docx

Background: Little is known about the trajectories of vital signs prior to in-hospital cardiac arrest (IHCA), which could explain the heterogeneous processes preceding this event. We aimed to identify clinically relevant subphenotypes at high risk of IHCA in the emergency department (ED).Methods: This retrospective cohort study used electronic clinical warehouse data from a tertiary medical center. We retrieved data from 733,398 ED visits over a 7-year period. We selected one ED visit per person and retrieved patient demographics, triage data, vital signs (systolic blood pressure [SBP], heart rate [HR], body temperature, respiratory rate, oxygen saturation), selected laboratory markers, and IHCA status. Group-based trajectory modeling was performed.Results: There were 37,697 adult ED patients with a total of 1,507,121 data points across all vital-sign categories. Three to four trajectory groups per vital-sign category were identified, and the following five trajectory groups were associated with a higher rate of IHCA: low and fluctuating SBP, high and fluctuating HR, persistent hypothermia, recurring tachypnea, and low and fluctuating oxygen saturation. The IHCA-prone trajectory group was associated with a higher triage level and a higher mortality rate, compared to other trajectory groups. Except for the persistent hypothermia group, the other four trajectory groups were more likely to have higher levels of C-reactive protein, lactic acid, cardiac troponin I, and D-dimer. Multivariable analysis revealed that hypothermia (adjusted odds ratio [aOR], 2.20; 95% confidence interval [95%CI], 1.35–3.57) and recurring tachypnea (aOR 2.44; 95%CI, 1.24–4.79) were independently associated with IHCA.Conclusions: We identified five novel vital-sign sub-phenotypes associated with a higher likelihood of IHCA, with distinct patterns in clinical course and laboratory markers. A better understanding of the pre-IHCA vital-sign trajectories may help with the early identification of deteriorating patients.</p