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Journal of Medical Sciences

Year: 2008 | Volume: 8 | Issue: 4 | Page No.: 332-341
DOI: 10.3923/jms.2008.332.341
Combined Pulse Oximetry and Carboxyhemoglobin for Detection of Hepatopulmonary Syndrome
Khalid Zaghloul Darwish, Mohamed Galal Morsi and Islam Mahrous

Abstract: The aim of the study is to evaluate pulse oximetry and carboxyhemoglobin as a combined index for detection of Hepatopulmonary syndrome. HPS is a triad of liver disease, increased P(A-a)O2 and intrapulmonary vasodilatation. Eighty nine consecutive adult cirrhotic patients underwent history, general examination, pulse oximetry, COHb%, ABG measurement, contrast enhanced echocardiography, ECG, chest radiology and PFTs to exclude cardiopulmonary diseases. HPS was diagnosed in 18 patients (20.2%), while 71 patients (79.8%) non-HPS group. All HPS patients had pulse oximetry≤94% and PaO2≤80 mmHg. Pulse oximetry and PaO2 showed significant inverse correlation with P(A-a)O2. COHb% showed significant inverse correlations with SpO2% and PaO2 and significant direct correlation with P(A-a)O2. ROC derived thresholds for pulse oximetry and COHb% were done for HPS detection. Using both SpO2≤94% and COHb% ≥ 2.2 as an index for screening HPS revealed 87% diagnostic accuracy, 50% sensitivity and 97% specificity, 0.81 Ppv, 0.88 Npv and +LR of 17.7. Pulse oximetry is a simple and reliable screening tool for detection of HPS. Using combined pulse oximetry and COHb level as an index for screening HPS in cirrhotic patients has a higher diagnostic accuracy and increase the specificity of diagnostic detection.

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How to cite this article
Khalid Zaghloul Darwish, Mohamed Galal Morsi and Islam Mahrous, 2008. Combined Pulse Oximetry and Carboxyhemoglobin for Detection of Hepatopulmonary Syndrome. Journal of Medical Sciences, 8: 332-341.

Keywords: ABG, COHb, hepatic cirrhosis, HPS and pulse oximetry

INTRODUCTION

Hepatopulmonary syndrome (HPS) is a complication of chronic liver disease characterized by the triad of presence of hepatic disease, increased alveolar-arterial O2 difference and evidence of intrapulmonary vascular dilatation (Krowka and Cortese, 1994; Fuhrmann et al., 2006). The intrapulmonary vasodilatations are pre-capillary and post-capillary dilatations that result in arterio-venous communications, that allows mixed venous blood to pass either very quickly or even directly into the pulmonary veins, bypassing the gas exchange unit and can lead to hypoxemia and hepato-pulmonary syndrome (Hopkins et al., 1992; Martinez et al., 2001). Previous studies have found that transthoracic contrast echocardiography with agitated saline is useful to detect such intrapulmonary vascular dilatation (Meltzer et al., 1983; Krowka et al., 1990; Barzilai et al., 1991).

The etiology of this syndrome remains unknown. The most commonly accepted hypothesis supposed that there is inadequate synthesis or metabolism of pulmonary vasoactive substances such as nitric oxide, prostaglandins, vasoactive intestinal peptide, calcitonin, glucagon, substance P and atrial natriuretic factor, by the impaired liver leading to a functional vasodilatation of the pulmonary vasculature producing hypoxemia. HPS is found in both less and advanced forms of cirrhosis (Krowka et al., 2000, 2004). When cirrhotic patients have no sign of any cardiopulmonary diseases, severe hypoxemia (PO2 < 60 mmHg) strongly recommends hepatopulmonary syndrome (Schenk et al., 2002; Hira et al., 2003; Lima et al., 2004).

The prevalence of HPS in the setting of cirrhosis ranges between 4-30% (Dollinger, 2006). Mortality in patients with this syndrome is considered to be high. In a retrospective analysis, mortality was 41% over an approximate 2.5 year period in 22 patients with HPS (Krowka et al., 1993).

HPS is usually diagnosed by Contrast Enhanced Echocardiography (CEE) and increased alveolar-arterial oxygen difference. In terms of cost- effective strategy and practical issues, these could not be applied for all cirrhotic patients. So, screening for HPS has high important value. Pulse oximetry is a useful tool for screening, we tried in this work to use combined pulse oximetry and carboxyhemoglobin for detection of HPS.

In prior study by Abrams et al. (2002), digital pulse oximetry [SpO2%] performed with a standardized protocol in a pulmonary function laboratory at the time of ABG analysis was a useful tool for detecting hypoxemia in cirrhosis. Use of a SpO2 threshold of 96% or less correctly identified all patients with a PaO2 < 60 mmHg.

A marked increase in expression of heme oxygenase-1 (HO-1) has been found in intravascular macrophages in experimental HPS (Carter et al., 2002). HO-1 is an inducible enzyme that catalyzes the metabolism of hemoglobin into bilirubin, iron and Carbon Monoxide (CO) (Morse and Choi, 2002). CO may function as a vasodilator and circulates bound tightly to hemoglobin, resulting in the formation of carboxyhemoglobin (COHb) (Stevenson and Vreman, 1997). The measurement of COHb levels in blood is used as a reflection of CO production and venous COHb levels have been evaluated in a cohort of patients with cirrhosis (De Las Heras et al., 2003). In experimental HPS, arterial COHb levels are increased significantly relative to normal and inhibition of pulmonary HO normalizes arterial COHb levels and improves vasodilatation, supporting the theory that HO-1-mediated CO production is involved (Zhang et al., 2003).

The aim of this study is to evaluate pulse oximetery and carboxyhemoglobin level as a combined index for detection of hepatopulmonary syndrome.

MATERIALS AND METHODS

Study population: This prospective study was performed on 89 consecutive adult cirrhotic patients referred to gastroenterology clinic in Saudi German Hospital from January 2005 to June 2007. All patients were asked to provide informed written consent on the approved study protocol. In these patients, cirrhosis was defined histological or by combination of characteristic clinical, laboratory and radiologic findings. The patients with ascities underwent large volume paracentesis.

Inclusion criteria: For inclusion into the study, patients had the following: (1) a negative history of smoking or had achieved and maintained cessation for at least 12 months before enrollment, (2) absence of primary cardiac or pulmonary disease, according to history, electrocardiogram, echocardiography including Doppler measurements, chest radiography (normal results, or increased basilar interstitial markings that are typical for HPS or small pleural effusion) (McAdams et al., 1996; Muller and Schenk, 1999) and lung function tests (forced expiratory volume at first second (FEV1) or total lung capacity > 66% predicted and normal spirometry and lung volumes on pulmonary function testing) (Abrams et al., 1995; Abrams et al., 1998).

Exclusion criteria: Patients for any of the following reasons were excluded from the study: (1) refusal or inability to provide informed consent, (2) atrial fibrillation, (3) intracardiac shunt, (4) congenital heart defects, (5) mitral stenosis or regurgitation, (6) aortic stenosis or regurgitation, (7) systolic dysfunction (ejection fraction<50%), (8) diastolic dysfunction, (9) abnormal chest radiogram results, (10) abnormal pulmonary function test result (FEV1 < 66% predicted).

Definition of hepatopulmonary syndrome: Diagnosis of HPS was established when the following points were fulfilled: (a) the presence of chronic liver disease, (b) an increased alveolar-arterial difference for the P(A-a) O2 above the age-related threshold, (c) intrapulmonary vascular dilatation, detected by transthoracic 2-dimensional contrast echocardiography, (d) absence of primary cardiac or pulmonary disease, according to history, electrocardiogram, echocardiography including Doppler measurements, chest radiography and pulmonary function test (Schenk et al., 2003).

Study protocol: All patients were tested for hepatitis B, hepatitis C, biliary, autoimmune, metabolic, cardiac, alcoholic and idiopathic etiologies. Complete Blood Count (CBC), Liver Function Test (LFT), creatinine, Prothrombin Time (PT), Partial Thromboplastin Time (PTT), albumin and other routine tests were measured in all patients. Ascitic fluid was tested for protein, albumin and white blood cells.

Pulse oximetry, arterial blood gases and COHb levels: SpO2 measurements were performed by digital pulse oximeter (NPB-295, Nellcor Puritan Bennett Inc., USA) applied to index finger, with the patient in the sitting position and breathing room air. ABG and echocardiography were performed within 3 days of SpO2 measurements. ABG analysis was obtained by radial artery puncture at room air in the sitting position immediately before pulmonary function test measurements.

To define the presence of HPS, we used an elevated age-corrected P(A-a)O2 value in the setting of a positive contrast echocardiogram. The P(A-a)O2 was calculated using the alveolar gas equation to obtain the alveolar oxygen pressure (PAO2) (West, 1990) and PaO2 from the ABG result which is subtracted from the PAO2 to calculate the P(A-a)O2.(PAO2) = {FiO2 x (airway pressure-water vapor pressure at 37°C)-PaCO2/R}.

As, FiO2 = fraction of inspired oxygen = 0.21 at room air; airway pressure = 760 mmHg; water vapor pressure at 37°C = 47 mm Hg; PaCO2 = value of ABG; R = respiratory exchange ratio, standardized at 0.84. So, PAO2 = 0.21x713-PaCO2/0.84.

The expected upper limit of normal for P(A-a) O2 at a given age in room-air (>95% CI) can be calculated using the following equation: P (A-a) O2 = [0.26 age-0.43] + 10 (Harris et al., 1974). As the P(A-a)O2 normally increases with age and varies significantly even in healthy individuals, it is therefore recommended to use values above the 95% confidence interval for the age- corrected P(A-a) O2 to avoid over diagnosis of HPS.

COHb was measured by CO oximetry by using the ABL 700 Series Analyzer (Radiometer, Copenhagen, Denmark) and corrected for hemoglobin levels. The coefficient of variation in COHb levels derived from repeated testing on individual specimens is 0.1%. Demographic, clinical, room-air arterial blood gas results and corrected COHb values were collected and recorded into a computerized database.

Contrast Enhanced Echocardiography (CEE): Participating patients underwent transthoracic CEE by the use of a peripheral intravenous line and two 10 mL syringes connected by a 3-way for injection of intravenous agitated saline. Intrapulmonary right-to-left shunt (IPS) was defined as the delayed appearance of micro-bubbles in the left atrium (three or more beats after the initial appearance of contrast in the right atrium). Appearance of micro-bubbles in the left atrium during the first or second beat or only after provocative maneuvers (cough or valsalva) is indicative of intracardiac shunt (Hopkins et al., 1992).

Statistical analysis: Student`s t-test was used for comparison between two independent means for quantitative data and Z test for comparison between two proportions to estimate p-value of the results. Data are expressed as mean±SD. A p-value <0.05 was considered to be significant.

The correlation between COHb% and the SpO2, PaO2, P(A-a)O2 and PaCO2 was done by Pearson correlation test using SPSS 10 software (SPSS Inc., Chicago, IL, USA), with measurement of r-statistic and p<0.01 was considered to be significant.

ROC curves were done using SPSS 10 software and Med Calc software version 9, with calculation of sensitivity, specificity, positive predictive value (Ppv), negative predictive value (Npv), likelihood ratio (LR) and AUC for the SpO2% and COHb% curves.

RESULTS

Eighty nine adult cirrhotic patients were included in the study. The mean age was 55±7.5 (ranged from 42-71 years), 48 patients (53.9%) were male. HPS was diagnosed in 18 patients (20.2%), while Non-HPS group included 71 patients (79.8%). All the patients studied were cirrhotic due to chronic hepatitis-C. The patients were distributed according to the severity of liver disease into Child-Pugh class A (10.1%), Child-Pugh class B (53.9%) and Child-Pugh class C (36%).

Table 1: The demographic and clinical data of the cirrhotic patients

Table 2: Comparison between HPS and Non-HPS patients for pulse oximetry, ABG results and COHb%
Mean±SD, (lower-upper 95% Confidence interval of the difference)

The demographic and clinical data of the cirrhotic patients are shown in Table 1. The results of arterial blood gases and pulse oximetry and COHb % values for both HPS and Non-HPS patients are shown in Table 2.

Abnormal changes in chest x-ray were found in 4 patients with HPS (22.2%) and 12 patients in the Non-HPS group (16.9%). The radiological findings included: mild pleural effusions (13 patients) and increased basal reticular opacities (4 patients).

Pulmonary functions tests revealed obstructive pulmonary disease in 14 patients (FEV1/FVC<70%), 8 patients with mild disease and 6 patients with moderate obstructive airway disease according to the criteria of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) (Pauwels et al., 2001).

There was no statistical significant difference between HPS and Non-HPS patients regarding the age, gender, severity of the liver disease by Child-Pugh class, abnormal chest radiology and abnormal PFTs in comparison between both groups, (p>0.05) (Table 1).

The present study revealed that all patients with HPS were found to have pulse oximetry≤ 94% and PaO2≤ 80 mmHg. The mean SpO2% was 87.66% (95% CI of difference 85.02, 90.30%), while the mean PaO2 was 60.88 mmHg (95% CI of difference 56.11, 65.67 mmHg) (Table 2). Also present study revealed that 55.6% of cirrhotic patients with HPS had PaO2≤60 mmHg which correspond to SpO2 saturation 89 and 83.3% of the HPS patients had PaO2≤70 mmHg corresponding to SpO2 saturation 91%.

Fig. 1: Box and Whisker plot for SpO2%, PaO2, P(A-a)O2 and PaCO2 measurements in HPS and Non-HPS patients, the box represents the interquartile range which contains the 50% of values. The whiskers are lines that extend from the box to the highest and lowest values, excluding outliers. A line across the box indicates the median. The figure showed significant decrease in the values of SpO2, PaO2, PaCO2 and significant increase in P(A-a)O2 in HPS than Non-HPS group (p<0.01)

There was highly statistically significant decrease in SpO2%, PaO2 and PaCO2 in the HPS group compared to the Non-HPS group, mean values were {(87.66Vs 94.69 %), (60.88 Vs 84.54%) and (32.44 Vs 37.67%)} for both groups respectively (p<0.01) (Table 2, Fig. 1).

A highly statistically significant increase was found in P(A-a)O2 and COHb % in the HPS group when compared to the Non-HPS group, as the mean values were (43.77 Vs 15.23%) and (2.29 Vs 1.22%) for both groups, respectively (p<0.01) (Table 2, Fig. 1, 2).

There were significant inverse correlations comparing COHb% with SpO2% (r = -0 .674, p<0.01), arterial PaO2 (r = -0.747, p<0.01) and PaCO2 levels (r = - 0.598, p<0.01). Also, significant direct correlation between COHb% and P(A-a)O2 values were found (r = 0.825, p<0.01) (Fig. 3).

P(A-a)O2 showed significant inverse correlations with arterial PaO2 (r = -0.891, p<0.01) and SpO2% (r = -0.828, p<0.01) (Fig. 4).

Fig. 2: Box and Whisker plot for COHb% in HPS and non-HPS groups, showed significant increase in the mean value in HPS than Non-HPS group (2.29 vs 1.22), (p<0.01)

Fig. 3: Correlation between arterial COHb% and P(A-a)O2, showed significant direct correlation (r = 0.825, p<0.01)

Pulse oximetry for detection of HPS: ROC curves and analysis were done for assessment of different SpO2 levels and determination of the optimum cutoff level for detection of hypoxemia and HPS with calculation of the sensitivity and specificity (Fig 5-A). Forty seven patients had SpO2≤94% included 18 HPS patients and 29 Non-HPS patients. We found that at SpO2≤94% as a cutoff, had 100% sensitivity (95% confidence interval (CI), 81-100%) and 59% specificity (95% CI, 46-70%). Positive predictive value (Ppv) was 0.38, (95% CI, 0.24-0.52%), negative predictive value (Npv) of 1 (95% CI, 0.96-1%) and Likelihood Ratio (LR) was 2.44 (95% CI, 1.85-3.23%) for positive test.

Fig. 4: Correlation between SpO2% and P(A-a)O2, showed significant inverse correlation (r = -0.828, p<0.01)

From the ROC curves, the pulse oximetry≤94% as cutoff threshold detected all patients with HPS (sensitivity 100%, specificity 59%), with an AUC of 0.889 (95% CI, 0.805-0.946%). To detect patients with HPS and a PaO2≤70 mmHg (Fig. 5B), the cutoff value≤92% was associated with sensitivity of 100% and specificity 33% with an AUC of 0.800 (95% CI, 0.548-0.946%) and (Ppv) was 0.88, (Npv) of 1 and (LR) was 1.5 for positive test. From all the HPS patients, 83.3% were found to have PO2≤70 mmHg. The SpO2≤91% threshold derived from the ROC curve can detect patients with HPS and a PaO2≤60 mmHg (Fig. 5C) with sensitivity of 100% and specificity 37%, with an AUC of 0.894 (95% CI, 0.659-0.984%) and (Ppv) was 0.66, (Npv) of 1 and (LR) was 1.6 for positive test. From all the HPS patients, 55.6% were found to have PO2≤60 mmHg. The test performance characteristics are shown in Table 3.

COHb for detection of HPS: ROC curves and analysis were done for assessment of different COHb levels and determination of the optimum cutoff level as a screening tool for HPS with calculation of the sensitivity and specificity (Fig. 5D). At COHb level ≥1.5, which is used by some laboratories as an upper limit of normal for COHb, we found that the sensitivity and specificity were 83% (95% CI, 58-96%) and 80% (95% CI, 69-88%), respectively, diagnostic accuracy 75% (95% CI, 66-84%), Ppv was 0.51, Npv of 0.95 and LR was 4.2 for positive test.

COHb% ≥1 had 100% sensitivity (95% CI, 81-100%) and lower specificity 35% (95% CI, 24-47%), diagnostic accuracy 40% (95% CI, 30-50%), Ppv was 0.28 (95% CI, 0.2-0.38%), Npv of 1 (95% CI, 0.96-1.0%) and LR was 1.5 for positive test.

Fig. 5: ROC curves of SpO2% measurements in (A) all patients for detection of HPS, (B) in HPS patients with PO2≤70 mmHg, (C) in HPS patients with PO2≤60 mmHg and (D) ROC curve for COHb% in all cirrhotic patients for detection of HPS

Table 3: Test performance characteristics of SpO2 measurements as a screening tool for HPS
(Sensitivity %/Specificity%)

Table 4: Test performance characteristics of COHb measurements for detection of HPS
(Sensitivity %/Specificity %)

The COHb% at ≥1.7 as a cutoff was found to have sensitivity of 77% (95% CI, 52-93%) and specificity of 90% (95% CI, 80-95%), respectively with diagnostic accuracy 83% (95% CI, 75-90%), Ppv was 0.66 and Npv of 0.94 and positive Likelihood Ratio (+LR) was 7.89.

At COHb level ≥2.2, the sensitivity and specificity for detection of HPS patients were 50% (95% CI, 26-73%) and 100% (95% CI, 94-100%) respectively, diagnostic accuracy 87% (95% CI, 80-94%) and Ppv was 1 and Npv of 0.88 (Table 4).

So, the higher COHb levels as a cutoff for detection of HPS, the better specificity, Ppv and LR for positive test that can be found, provided with exclusion of any other possible causes of increased level of COHb as smoking. From the ROC curve, the COHb% ≥2.2 as cutoff threshold for detection of HPS had sensitivity 50% and specificity 100%, with an AUC of 0.907 (95% CI, 0.827- 0.986%).

Combined index of SpO2 and COHb thresholds: Further statistical analysis was done using a combined index of both SpO2≤94% and COHb% ≥ROC derived threshold as a screening tool for HPS detection on all cirrhotic patients. Different cutoff COHb levels were studied depending on the previous ROC curve for COHb% in HPS and cirrhotic patients.

At COHb% ≥1.5 as a cutoff for cirrhotic patients with SpO2≤94%, the sensitivity was 88% (95% CI, 74-100%) and specificity of 80% (95% CI, 71-89%), diagnostic accuracy 82% (95% CI, 74-90%), Ppv was 0.53 (95% CI, 0.35-0.71), Npv of 0.96 (95% CI, 0.91-1.0%) and +LR of 4.5 (95% CI, 2.74-7.4%) for positive test and negative LR (–LR) of 0.13 (95% CI, 0.03-0.51%) for negative test. At COHb% ≥1.7 as a cutoff (with SpO2≤94%), the sensitivity was 77% (95% CI, 58-96%) and specificity of 85% (95% CI, 77-94%), diagnostic accuracy 84% (95% CI, 76-91%), Ppv was 0.58 (95% CI, 0.38-0.78), Npv of 0.93 (95% CI, 0.88 -0.99%) and +LR of 5.5 (95% CI, 2.95-10.32%) and -LR of 0.25 (95% CI, 0.1-0.61%).

Using COHb% ≥2.2 as a cutoff for cirrhotic patients with SpO2≤94% was found to have diagnostic accuracy of 87% (95% CI, 80-94%), sensitivity of 50% (95% CI, 26-73%) and specificity of 97% (95% CI, 93-100%), Ppv was 0.81 (95% CI, 0.59-1.04%), Npv of 0.88 (95% CI, 0.81-0.95%) and +LR of 17.7 (95% CI, 4.19-75.08%) and -LR 0.51 (95% CI, 0.32-0.81%). So, using a combined SpO2≤94% and COHb% ≥2.2 as an index for screening HPS in cirrhotic patients had a higher diagnostic accuracy and increase the specificity of diagnostic detection of HPS with higher positive predictive value and higher likelihood ratio for positive test.

DISCUSSION

Hepatopulmonary syndrome is an important complication of cirrhosis. It is associated with adverse outcome with increased mortality even after liver transplantation compared with those without HPS especially when hypoxemia is severe (Arguedas et al., 2003; Schenk et al., 2003; Swanson et al., 2005). Screening for HPS could enhance detection of patients with sufficient hypoxemia to merit higher priority for transplant.

In this study, all the patients had chronic hepatitis C as the etiology of cirrhosis. The incidence of HPS was not related to Child-Pugh score or the degree of hepatic deterioration. This finding was corresponding with (Arguedas et al., 2003), in which HPS was not more common in advanced liver disease but different form other studies for unclear cause (Vachiery et al., 1997; Schenk et al., 2003).

The clinical presentation of the patients with HPS including dyspnea, cyanosis, spider nevi and ascities were similar to non-HPS patients with no significant difference, which was in agreement with previous studies (Martinez et al., 2001; Schenk et al., 2002; Swanson et al., 2005).

HPS is usually diagnosed by CEE and ABG. In this prospective study we evaluated pulse oximetry and carboxyhemoglobin percentage in arterial blood as simple measures to predict HPS in cirrhosis caused by chronic hepatitis-C patients. The CEE, ABG and A-a gradient in our study was for defining and confirming which cirrhotic patients (according to the gold standard) are truly HPS patients and to define the HPS group from the non-HPS group. Accordingly, the screening will depends on the pulse oximetry and COHb in determined groups. Pulse oximetry is a well-established method for noninvasive evaluation of arterial oxygenation (Jensen et al., 1998). It is accurate and reliable for assessing arterial oxygenation in patients without liver disease and similar results in cirrhotic patients. In both situations, SpO2 might overestimate oxygen saturation measured directly on ABG analysis by between 1.5-3.5% and in cirrhotic patients resulted in a higher SpO2 than might be expected to trigger evaluation with ABG to detect hypoxemia. In cirrhotic patients, the overestimation of oxygen saturation by SpO2 was similar to that in patients without liver disease and was not influenced by severity of liver disease or bilirubin levels, supporting that SpO2 is of similar utility in patients with and without liver disease (Abrams et al., 2002).

In previous studies, the prevalence of HPS was found to be variable according to the criteria used to define the arterial oxygen abnormalities (Schenk et al., 2002). In HPS, increased alveolar-arterial O2 gradient in room air was classically defined as >15 mm Hg or >20 mmHg in patients >64 years of age (Varghese et al., 2007), but as the P(A-a)O2 normally increases with age and varies significantly even in healthy individuals, it is therefore recommended to use values above the 95% confidence interval for the age- corrected P(A-a) O2 to avoid over diagnosis of HPS (Harris et al., 1974). In the present study we used the elevated age-corrected P(A-a)O2 as abnormal on the basis of prior studies of Schenk et al. (2002) and Arguedas et al. (2003). We found that all patients with HPS had pulse oximetry≤94% and PaO2≤80 mmHg, suggesting that HPS could be detected in all patients with SpO2 value <95%. Pulse oximetry and PaO2 showed significant inverse correlations with P(A-a)O2. Study results are in agreement with Arguedas el al. (2007) who performed study to define the utility of pulse oximetry, in the setting of a positive CE, in detecting hypoxemic patients with HPS. A cutoff SpO2 value <96% detects all patients with HPS and hypoxemia (PaO2 <70 mmHg) with a specificity of 88%. ROC analysis demonstrates that using a SpO2 <94% also detects all patients with HPS and a PaO2 <60 mmHg who would be candidates for MELD (HPS Model for End-Stage Liver Disease) exception related to HPS with a high specificity (93%). In addition, they found that different SpO2% cutoff values reliably identified varying degrees of severity in patients with HPS.

Roberts et al. (2007) studied the cost effectiveness of screening for HPS in liver transplant candidates. They searched the cost and outcome in three different strategies: no screening, screening patients with validated dyspnea questionnaire and screening all patients with pulse oximetry. ABG analysis and contrast echocardiography were performed in patients with dyspnea or pulse oximetry≤97% to define the presence of HPS. They concluded that pulse oximetry screening is a cost effective strategy that improves survival in transplant candidates.

In prior work, digital pulse oximetry performed in a pulmonary function laboratory at the time of ABG analysis was a useful tool for detecting hypoxemia in cirrhosis. They found that a SpO2 threshold of 96% or less correctly identified all patients with a PaO2 <60 mmHg (Abrams et al., 2002). The ERS Task Force had proposed a classification system that uses the partial pressure of arterial oxygen (PaO2) to stage the severity of HPS. According to this system, a PaO2 <50 mmHg indicates very severe HPS, a PaO2 in between 50 to 60 mmHg suggests severe HPS, a PaO2 in between 60 and 80 mmHg corresponds with moderate HPS and PaO2 ≥80 mmHg correspond to mild HPS (Rodriguez-Roisin et al., 2004).

In the present study, arterial COHb levels showed statistically significant increase in HPS patients compared with non-HPS patients. This increase coincides with the decrease of SpO2% and PaO2 in these patients, as COHb% showed significant inverse correlation with SpO2%, arterial PaO2 and PaCO2 levels and significant direct correlation with P(A-a)O2.

Carter et al. (2002) had found that in experimental HPS induced by common bile duct ligation in the rat, intravascular macrophages accumulate in the lung, overexpress HO-1 and are associated with increased arterial COHb levels as HPS progresses. In human, similar results have been reported, as arterial COHb levels were increased significantly in patients with HPS compared with patients without HPS. Arterial COHb levels did not correlate with severity of liver disease. However, the correlation between arterial COHb levels and arterial PaO2 levels and alveolar-arterial oxygen gradients was modest (Arguedas et al., 2005).

In the present study, we found that using COHb% alone ≥ROC-derived threshold in non-smoking cirrhotic patients has low sensitivity in detection of HPS, but using a combined SpO2≤94% and COHb% ≥2.2 as an index for screening HPS in cirrhotic patients had a higher diagnostic accuracy and increase the specificity of diagnostic detection of HPS.

CONCLUSION

Study results demonstrate that pulse oximetry is a simple and reliable screening tool for the detection and follow up of HPS. Arterial COHb levels increase in HPS and correlate inversely with both SpO2 and PaO2 and could be used as screening for HPS in selected non smoking patients. Using COHb level more than ROC- derived threshold as a combined index with pulse oximetry for screening of HPS can provide a better clinical implication for HPS detection, better diagnostic accuracy and improve the performance of the test. Multicentre study on a larger number of patients is recommended for validation of the results and to find a reliable non invasive method for COHb measurement is recommended in future studies.

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