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Articles by Jin Xiong Lian, BSN, RN, CNS

What you need to know about COP

Lian, Jin Xiong

Nursing Critical Care. 7(6):38-42, November 2012.

Cryptogenic organizing pneumonia is easily overlooked because of its rarity and nonspecific signs and symptoms. Find out how to recognize and respond promptly and effectively to this potentially reversible condition.

Using ventilator waveforms to identify and eliminate double triggering

Lian, Jin Xiong

Nursing Critical Care. 6(6):18-23, November 2011.

Patient-ventilator dyssynchrony is often difficult to recognize because the signs and symptoms aren't specific. But examining ventilator waveforms can help you identify and differentiate various types of patient-ventilator dyssynchrony as well as possible causes.

Is your mechanically ventilated patient getting enough oxygen?

Lian, Jin Xiong

Nursing Critical Care. 6(3):20-24, May 2011.

Flow dyssynchrony occurs when the inspiratory flow delivered by a ventilator doesn't match the patient's needs. Although flow dyssynchrony is rare in pressure target ventilation, by examining the patient's ventilator waveforms, you can recognize the problem and respond appropriately to improve your patient's oxygenation.

Managing a patient with Acute Respiratory Distress Syndrome PART 2: ARDS

Lian, Jin Xiong

Nursing Critical Care. 6(1):31-40, January 2011.

In the second and final part of this series, the author describes how to handle refractory hypoxemia and how to use information gleaned from ventilator waveforms to optimize ventilation for patients with ARDS.

Managing a patient with Acute Respiratory Distress Syndrome PART 1: ARDS

Lian, Jin Xiong

Nursing Critical Care. 5(6):17-27, November 2010.

Despite substantial advances in knowledge and improvements in treatments, mortality from ARDS remains high, ranging from 15% to 75%. This article, the first in a two-part series, discusses the pathophysiology of ARDS and how to use lung-protective strategies for mechanical ventilation.

Using ventilator waveforms to optimize patient-ventilator interaction

Lian, Jin Xiong

Nursing Critical Care. 5(5):14-24, September 2010.

Patient-ventilator dyssynchrony is common, and increases the work of breathing, oxygen consumption, and CO2 production. This article describes how to spot problems early and use graphical information to help keep your patient and the ventilator working together.

Interpreting and using the arterial blood gas analysis

Lian, Jin Xiong

Nursing Critical Care. 5(3):26-36, May 2010.

This article reviews the physiology behind ABGs and describes a 5-step approach to ABG interpretation. The 5-step approach is then applied to case studies that illustrate how to use ABGs to manage patients, particularly those on mechanical ventilation.

A Case Report: Complete lung whiteout

Lian, Jin Xiong

Nursing Critical Care. 4(4):42-45, July 2009.

Lung whiteout occurs when the black in a lung field on X-ray is replaced by white, indicating that less air is getting into the alveoli. Follow this case study to learn about the causes of lung whiteout and how to respond.

Managing a severe acute asthma exacerbation

Lian, Jin Xiong

Nursing Critical Care. 4(2):32-39, March 2009.

Caring for a patient with an acute asthma exacerbation can be challenging. Review the pathophysiology and management of a severe asthma exacerbation and learn how to intervene appropriately should the patient's clinical status deteriorate rapidly.

Understanding ventilator waveforms—and how to use them in patient care

Lian, Jin Xiong

Nursing Critical Care. 4(1):43-55, January 2009.

Ventilator waveforms provide real-time information about patient ventilator interaction and ventilator function. Learn the basics of ventilator waveforms, how they're interpreted, and how you can use this information when caring for your patient.

Know the facts of mechanical ventilation

Lian, Jin Xiong

Nursing Critical Care. 3(5):43-49, September 2008.

Mechanical ventilation (MV) is one of the core components of supportive therapies for critically ill patients, but its application may lead to ventilator-induced lung injury. A sound knowledge of MV and a patient's condition enables clinicians to maximize the benefits of ventilatory support.