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Initial FIO2 on CMV that should be set for carbon monoxide poisoning patients is:

A sedated 6 feet patient is on ventilatory support. The patient’s vent settings and arterial blood gas results are below: Mode = AC/VC Rate = 15 breaths/min Tidal volume = 450 ml Oxygen = 40% pH = 7.28 PaCO2 = 60 torr PaO2 = 70 torr  HCO3 = 29 mEq/L Based on this information, what would you recommend?

A  5 feet 6 inch patient needs ventilatory support after intubation? What set tidal volume should  be initiated on AC volume control ventilation at 8 ml/Kg?

Restrictive diseases such as Pneumonia, ALI and ARDS causes:

A patient is currently on CMV with the following ventilator settings   Mode – AC/VC Total rate – 20 breaths/min Set Rate – 12 breaths/min VE – 7 lpm Set VT – 400 ml PIP – 25 cm H2O PEEP – +5 cm H2O FIO2 – 45%   What kind of breaths are observed here?

A patient with ARDS is on the current ventilatory support. Current ventilator settings and ABG are provided.   Mode – AC/PCV PIP – 40 cm H2O Rate – 12 breaths/min Total rate – 12 breaths/min Pressure – 30 cm H2O VE – 6 L/min PEEP – 10 cm H2O FIO2 – 1.0   pH – 7.32 PaCO2 – 50 torr PaO2 – 45 torr HCO3 – 26 mEq/L   What should the therapist due at this time?

A patient was placed on ventilatory support secondary to pneumonia. Which manifestations support this diagnosis?   I. Positive Sputum C&S II. Temp 39c III. WBC 8,000 IV. Diaphoresis

Prior to suctioning the patient endotracheally, What must be done?

A patient is receiving oxygen at 10 LPM with 40% oxygen via venturi mask. What is the total oxygen flow this patient is receiving?

Jannesen was studying the average delivery time for a company’s shipments and how it varies across different regions. She wanted to identify which variables were good predictors of delivery time and selected three that she believed could be influential: distance to the warehouse, traffic congestion index, and number of delivery stops per route. She conducted a multiple linear regression analysis using these variables. The sample she collected included at least 10 deliveries with both short and long delivery times (successes and failures). Upon reviewing the analysis results, she observed that the scatterplots indicated a relatively linear relationship between each explanatory variable and the response variable (delivery time). The residual versus predicted delivery time plot displayed points in a fan-shaped pattern. Additionally, the normal quantile plot of the errors showed a distinct S-shape. The sample size was 20.  Based on these findings, we can say that the linearity condition [linearity],the equal variance condition [equalvar],the normality condition [normal],and the success-failure condition [sf].