Blood gas analysis of healthy people in Diqing Tibetan Autonomous Prefecture in Yunnan Province
Original Article

Blood gas analysis of healthy people in Diqing Tibetan Autonomous Prefecture in Yunnan Province

Guo-Hui Li1, Yun-Qi Zhang1, Hai-Qin Zhang2

1The Fourth Departments, People’s Hospital of Diqing Tibetan Autonomous Prefecture, Diqing, China;2Department of Pulmonary Medicine, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China

Contributions: (I) Conception and design: All authors; (II) Administrative support: GH Li, HQ Zhang; (III) Provision of study materials or patients: GH Li; (IV) Collection and assembly of data: GH Li, YQ Zhang; (V) Data analysis and interpretation: HQ Zhang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Hai-Qin Zhang. Department of Pulmonary Medicine, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China. Email: ocean82173g@163.com.

Background: To investigate the reference value of blood gas analysis and related factors in healthy adults in Diqing Tibetan Autonomous Prefecture in Yunnan Province.

Methods: From August 24, 2018 to August 11, 2020, healthy people between the ages of 18 and 70 years were observed at the Physical Examination Center of People’s Hospital of Diqing Tibetan Autonomous Prefecture in Yunnan province. Participant information and clinical characteristics were collected. Blood gas analyzer was used to measure PH value, arterial partial oxygen pressure (PaO2), arterial partial pressure of carbon dioxide (PaCO2), arterial oxygen saturation (SaO2), acidity (pH), actual bicarbonate (AB) and residual base (BE). The participants’ basic and blood gas indicator data were analyzed, and the blood gas reference values and related factors were analyzed using chi-squared tests, Mann-Whitney-Wilcoxon Test, and Spearman’s correlation analysis.

Results: A total of 1,218 eligible health examination participants were included. They had an average age of 40 [31–47] years, and males accounted for 51.0%. In terms of blood gas reference values, the average pH value was moderate, and the values of PaO2, SaO2, PaCO2, AB, and BE were low. PaO2 was basically matched with the estimated value of the domestic model formula. These indexes were found to be correlated with social demographic characteristics such as sex, age, and smoking history.

Conclusions: The correlations between the indexes and social demographic characteristics may be helpful in the prediction of blood gas analysis results in clinical practice. For men, middle-aged and elderly people, or adults with a history of active smoking/biofuel exposure, blood gas PaO2 and PaCO2 should be monitored to facilitate the early intervention of respiratory failure. The PaO2 data basically matched the estimated values of the domestic model formula, suggesting that other regions in the Prefecture could use comprehensive epidemiological data and model methods to guide clinical work.

Keywords: Diqing Prefecture; blood gas analysis; healthy people


Submitted Oct 16, 2020. Accepted for publication Nov 17, 2020.

doi: 10.21037/apm-20-2206


Introduction

Blood gas analysis, also referred to as a blood gas test, is a common clinical examination that serves as the gold standard for evaluating respiratory failure and various disorders of acid-base balance. Blood gas tests are of great value for the differential diagnosis of clinical acute critical illnesses and in guiding the application of mechanical ventilation.

Currently, the reference values for arterial partial oxygen pressure (PaO2) in healthy adults are only applicable in plain areas; in standard conditions (1 atmosphere at sea level, quiet), the reference value for PaO2 is 10.7–13.3 kPa and decreases slightly with age. For inland high-altitude areas, it is necessary to discuss the corresponding blood gas standards, so as to objectively judge the disease and guide clinical diagnosis and treatment. Xiao et al. reported that the reference value for arterial blood oxygen partial pressure in healthy Chinese adults was correlated with altitude and average annual relative humidity (1). Some studies on blood gas analysis of healthy people in Qinghai and other plateau areas showed the characteristics of decreased PaO2 and partial pressure of carbon dioxide (PaCO2) with an increased pH value (2). There was also a similar report about blood gas analysis in Tibetan region (3). But they had some limitations: only involved one single ethnic group, or didn’t distinguish ethnic groups; the number of cases was small; lack of correlation analysis between blood gas indicators and clinical demographic characteristics. The present study aimed to analyze the blood gas of healthy people in multi-ethnic (In the majority of Tibetan) Diqing Tibetan Autonomous Prefecture in Yunnan Plateau region and to discuss the corresponding reference values and relations with clinical demographic characteristics, expand the sample size to be representative, in an effort to create a foundation for a reference standard for respiratory failure.

We present the following article in accordance with the MDAR reporting checklist (available at http://dx.doi.org/10.21037/apm-20-2206).


Methods

Study participants

From August 24, 2018 to August 11, 2020, 1,218 eligible participants were observed at the Physical Examination Center of the People’s Hospital of Diqing Tibetan Autonomous Prefecture in Yunnan province.

The inclusion criteria for study participants were: (I) physical examinees aged between 18 and 70 years old who have lived in Diqing for more than 2 years; (II) on the blood routine, biochemical, chest X-ray, and electrocardiogram examination; (III) the ability to attend a hospital visit; (IV) a total score of 0 on the further line Chronic Obstructive Pulmonary Disease Assessment Test (CAT) (chronic cough, sputum, breathing, chest tightness, shortness of breath) and 2 weeks without respiratory symptoms associated with disease; and (V) lung ventilation function test results in the normal range. The exclusion criteria were: (I) the presence of uncontrolled other systemic serious diseases, including heart failure, cirrhosis, and cerebral infarction; and (II) cognitive dysfunction, inability to communicate effectively, or poor compliance with the study.

The sample size required was calculated with PASS 11 Home software (NCSS LCC, America), according to the standard deviation of PaO2 in healthy people at a similar altitude reported in the literature (1). Target: 1,500 cases (the population of Diqing Prefecture is estimated at 300,000). The ratio of males to females was 1:1. Participants were divided into two age groups, the 18–40 years group and the 40–70 years group, at a ratio of 1:1 (750 people in each group).

Clinical data registration, blood gas collection and analysis

  • Data of the participants were collected and recorded including their social demographic information (such as sex, age, ethnicity, past medical history, smoking/secondhand smoke exposure history, biofuel exposure history, barbecue diet history) and physical examination results (such as blood pressure, chest radiograph, lung function, hemoglobin).
  • On the same day of lung function test, the participants rested for 30 minutes to limit the impact of factors, such as physical activity, on the test results. Samples of arterial blood (2 mL) were collected. A cobas b123 blood gas analyzer (Roche, F. Hoffmann-La Roche Ltd) was used to measure the indexes: acidity (PH), PaO2, PaCO2, arterial oxygen saturation (SaO2), and actual bicarbonate (AB), and the results were recorded.

Ethics

This study was conducted in adherence to the guidelines of the Declaration of Helsinki (as revised in 2013). The study design was approved by the Ethics Committee of People’s Hospital of Diqing Tibetan Autonomous Prefecture (Yunnan, China). Signed informed consent forms were obtained from all participants.

Statistical analysis

Statistical analyses were performed using SPSS 19.0 software (IBM Corporation, America). Descriptive statistics were used to analyze all arterial blood gas data. Measurement data with non-normal distribution were expressed as medians (quartile), and comparisons between different groups were performed using the Mann-Whitney U test. They are grouped into subgroups according to different social demography and clinical characteristics. Enumeration data were expressed as percentages, with chi-squared tests used for inter-group comparisons. Univariate and multivariate logistic regression analyses were conducted for factors with statistical significance. P<0.05 was considered statistically significant.


Results

Patient characteristics

A total of 1,218 individuals conformed to the eligibility criteria. These individuals ranged in age from 18–70 years old, with an average age of 40 years (31−47 years), and 621 (51.0%) were male. Individuals from 11 ethnic groups were included. Tibetans (38.7%), Han (29.1%), and Naxi (20.2%) were the major ethnic groups, the residents accounted for 91.4%. Of the study participants, 19.8% and 15.0% had a history of active and passive smoking, respectively, and 19.0% had a history of exposure to biofuels.

The results of blood gas analysis showed that pH value was 7.275–7.491, with a median of 7.414 (7.399–7.428); PaO2 value was 45.8–73.0 mmHg, with a median of 58.9 (55.1–61.8) mmHg; PaCO2 value was 19.3–40.3 mmHg, with a median of 32.6 (30.5–34.6) mmHg; SaO2 value was 76.8–99%, with a median of 91.1 (89.4–92.4%); AB value was 12.1–28.2 mmol/L, with a median of 20.5 (19.4–21.7) mmol/L. BE value was −11.01–2.57 mmol/L, with a median of −2.76 (−3.82 to −1.91) mmol/L. See Table 1.

Table 1
Table 1 Blood gas analysis of healthy adults in Diqing Prefecture
Full table

Correlation analysis between blood gas analysis indexes

The pH value was positively correlated with the values of PaO2, SaO2, AB, and BE (P=0.000) and negatively correlated with the value of PaCO2 (P=0.000). The PaO2 value was positively correlated with the values of SaO2 and pH (P=0.000), while negatively correlated with the values of AB and BE (P=0.000). The PaCO2 value was positively correlated with the values of AB and BE (P=0.000), while negatively correlated with the values of pH, PaO2 and SaO2 (P=0.000). The SaO2 value was positively correlated with PaO2 and pH (P=0.000), while negatively correlated with the values of AB and BE (P=0.000). The value of AB was significantly positively correlated with that of BE, pH, and PaCO2 (P=0.000), and negatively correlated with those of PaO2 and SaO2 (P=0.000). The value of BE was significantly positively correlated with the values of AB, pH, and PaCO2 (P=0.000), but negatively correlated with the values of PaO2 and SaO2 (P=0.000). Table 2 shows the results of correlation analysis.

Table 2
Table 2 Spearman’s correlation analysis among blood gas analysis indicators
Full table

Comparison and correlation analysis of blood gas indexes between different subgroups

In healthy adult males, the pH value was significantly lower than that of female adults; however, the values of PaCO2, AB, and BE were significantly higher in men than in women (P<0.05). The values of PaO2 and SaO2 in healthy adults aged under 40 were significantly higher than those in adults aged 40 and above, and the values of PaCO2, AB, and BE were significantly lower than those aged under 40 (P<0.05). The values of PaCO2, AB, and BE in healthy adults with an active smoking history were significantly higher than those in participants without a history of active smoking (P<0.05). The pH and PaO2 values of Diqing inhabitants (Generation dweller) were significantly lower than those of settlers (People who have migrated from other areas to live for more than 2 years) (P<0.05), and the pH value of the Han population was significantly higher than that of other ethnic groups (P<0.05). The PaCO2 levels of healthy adults with a history of exposure to biofuels were significantly higher than those of individuals without a history of exposure to biofuels (P<0.05) (Table 3).

Table 3
Table 3 Comparison of blood gas index between different factor groups (1,218 cases)
Full table

Discussion

Diqing Tibetan Autonomous Prefecture is located in a high-altitude area of Yunnan province in southwest China, with a cold temperate climate. Tibetan and other ethnic minorities account for 88.5% of the Diqing total population.

Due to factors such as smoking, wood burning, cooking, and burning carbon for heating chronic obstructive pulmonary disease (COPD), bronchial asthma, and other chronic airway diseases are common among permanent residents of Diqing Perfecture. In severe cases, COPD may be complicated by hypoxemia, respiratory failure, or pulmonary heart disease. Colder weather also tends to promote acute respiratory infection, pneumonia, and even severe pneumonia and other acute and critical diseases. The morbidity and mortality rates associated with these diseases are relatively high, which makes timely and reasonable diagnosis and treatment critical.

Arterial blood gas analysis is the gold standard for the diagnosis of hypoxemia and respiratory failure, and it was important to guide treatment. The current diagnostic criteria for respiratory failure are: PaO2 below 8 kPa (60 mmHg) with or without PaCO2 higher than 6.65 kPa (50 mmHg) at sea level breathing indoor air, and excluding cardiac anatomic shunt and reduction of cardiac output. However, Diqingzhou is located on a plateau and has an average altitude of 3,294 m. Due to this high altitude, the air is relatively thin, and the atmospheric pressure and oxygen content are reduced. In this hypoxic environment, the body reacts by stimulating peripheral chemoreceptors, leading to enhanced ventilation activity.

This study found that, compared with previous data from China (2), the mean pH value of blood gas in healthy adults in Diqingzhou was higher than that in plain areas such as Beijing, and the mean values of PaO2, PaCO2, SaO2, and BE were lower than those in individuals in plain areas, while the mean values of AB were only slightly lower. Compared with Qinghai and other regions at a similar altitude, the characteristics of blood gas are similar.

The mechanism of blood gas differences such as low oxygen. The plateau environment is characterized by low atmospheric pressure and low oxygen partial pressure, which reduces arterial blood oxygen partial pressure and stimulates the chemical receptors of the aortic body, causing excessive ventilation and subsequently leading to increased excretion of HCO3, increased blood pH, and gradual equilibrium (4). Previous studies have reported that with the increase of altitude, blood gas indexes of healthy crowd get changed, among which arterial blood oxygen partial pressure influence the most, followed by CO2 partial pressure of arterial blood and standard bicarbonate, residual alkali, oxygen saturation, the pH value also gradually alkali (1,2,5-7), Mexican studies have also shown a negative correlation between PaCO2 and altitude (8,9).

The mechanism of blood gas differences such as low oxygen. The low oxygen partial pressure of plateau environments can cause the blood to carry low oxygen levels and the percentage, human body ventilatory function reduces CO2 partial pressure in the arterial blood and pH value tend to be alkaline (4). Kidney starts compensatory function along with the change of blood CO2 partial pressure; respiratory alkalosis with metabolic acidosis, or conversely, bicarbonate, residual alkali synchronous change. This study found PaO2 to be positively correlated with SaO2, PaCO2 to be negatively correlated with pH value, both PaO2 and PaCO2 are positively correlated with AB and BE values. All of these results are consistent with the previous literature reports. However, it is worth noting that PaO2 and PaCO2 were negatively correlated, and positively related to the pH value, which seems to contrast with the findings of previous studies. However, as the population of this study comprised individuals who had lived in DiQingZhou for at least 2 years, rather than those with short-term exposure to the environment of the plateau region, the enrolled individuals had adapted to the plateau environment (enhancement was gradually ease, the body compensatory ventilation function, coupled with living habits, partial contact smoke environment in national regions), which can lead to low oxygen and prone to arterial blood increased CO2 partial pressure, acidic pH.

In this study, healthy adults with a history of active smoking or exposure to biofuels were found to have higher PaCO2 than those with no relevant exposure history, which was related to long-term exposure to smoke, chronic inflammatory damage of airway mucosa caused by particulate inhalation, and airflow subsidence. Similarly, PaCO2 in men and individuals aged 40 and under was found to be higher than in women and elderly people, which may result in pathophysiological changes due higher exposure to the relevant harmful and stimulating environmental factors. We found that lower PaO2 and SaO2 levels in people aged 40 and under may be related to the high activity level and relatively increased oxygen consumption in young people under the same hypoxic environment. The PaO2 value of the inhabitants is lower than that of the settlers, which is consistent with the literature (2). While due to the increase of ventilation, the processing ability of long-term good oxygen utilization, and somehow genetic gene factor, the inhabitants still don’t have anoxic clinical symptoms such as dizziness, headache, and genetic gene has certain correlation at even low blood oxygen level (10). The incidence of oxygenation fluctuation and acute altitude sickness when returning to high-altitude areas is lower among the Tibetan ethnic group than among the Han population (11), which also suggests such a phenomenon. In this study, the pH value of the Han population was higher than that of other ethnic groups, which may because that the majority of Han participants being migrants and the use of enhanced ventilation, leading to the tendency of blood pH toward alkalinity.

PaO2 is a measurable index of the pressure produced by oxygen molecules in the arterial blood. According to Henry’s law, the amount of O2 dissolved in the blood is proportional to its partial pressure; therefore, the measurement of PaO2 can help us to evaluate the oxygen content in blood and subsequent analysis of tissue metabolism in the body. The normal value of PaO2 in healthy people at sea level is 10.7–13.3 kPa, while PaO2 <10.7 kPa indicates hypoxemia, 8–10.7 kPa indicates mild hypoxemia, and 5.3–8 kPa indicates moderate hypoxemia. PaO2 <5.3 kPa is judged as severe hypoxemia (1). Literature reports have shown that the hypoxic conditions of plateau environment can damage retinal blood vessels in the human body (12), and also increase the risk of metabolic diseases (13). Therefore, the determination of PaO2 in plateau-dwelling populations is of great significance for screening disease and guiding prognosis and treatment.

In Yan-Fei Xiao’s study on Chinese adults showed the correlation between the arterial blood oxygen partial pressure reference value and the altitude in adults aged 18–40 years old, the regression model as: Y1 = 12.8447 * e − 0.0001 X1, Y1 prediction interval was: (Y1 −1.59, Y1 + 1.59); and in 40–65-year-old healthy adults, the arterial blood oxygen partial pressure reference value is correlated with the area above sea level and annual average relative humidity, the regression model as: Y2 = 10.429 − 0.00123 X1 + 0.02536 X7, Y2 prediction interval was: (Y1 − 1.22, Y1 + 1.22) (1). Diqing prefecture, which is located on the southeastern margin of the Qinghai-Tibet Plateau, has an average altitude of 3,294 meters and an average annual relative humidity of 65%, which is lower than in most plain areas in China. According to the regression model described above, in Diqing Prefecture, the average of the arterial blood oxygen partial pressure reference value for healthy adults aged between 18–40 years old is (9.24±1.59) kPa (69.3±11.9 mmHg), and the arterial blood oxygen partial pressure reference value for adults aged 40–70 is 8.03±1.22 kPa (60.0±9.2 mmHg). In this study, the value of PaO2 in people aged under 40 years old and people aged 40 years and above was 60.4 and 56.6 mmHg, respectively, which was in line with the model for estimating the value of the range, further proving the practicability of the national standard.

In remote areas that lack the resources for drawing blood from the radial or femoral artery or a blood gas analyzer, the collection of arterialized earlobe blood and use of simple portable instrument such as Abbott i-stat, can also be considered, which have certain application value according to the literature (1,14).

This study has some limitations. First, the three counties of Diqing Prefecture have different altitudes. However, due to limited manpower and facilities, and because the researchers were based in the state capital, only data from Shangri-la County People’s Hospital were included in the analysis; however, the altitudes of the counties vary, and the data used and the reference values obtained from them were not representative of all of the counties. The scope of future investigations will be expanded to more objectively reflect the reference values of blood gas in different areas under the jurisdiction of the state.


Conclusions

Diqing Tibetan Autonomous Prefecture is located on a plateau. It is inhabited by many ethnic groups, including Tibetans, Han, and Naxi. In the healthy adults aged 18–70 years included in this analysis of blood gas reference values, the average PH was found to be moderate, while arterial PaO2, SaO2, low PaCO2, AB, residual base (BE) on the low side, present “low oxygen level, hyperventilation, moderate acidity” after partial acid, compensatory. These characteristics suggest that the human body can gradually adapt to the unique geographical environment of Diqing Prefecture. Correlations were found between participants’ blood gas indexes and social demographic characteristics such as gender, age, and smoking history. This may help with the prediction of the results of blood gas analysis in clinical practice. For men, middle-aged and elderly people, and adults with a history of active smoking or exposure to biofuel, blood gas PaO2 and PaCO2 should be followed up and monitored to support the early detection, diagnosis, and treatment of respiratory failure. The PaO2 data obtained from the flow survey basically matched with the values estimated using the domestic model formula, suggesting that other regions in the state could provide targeted guidance for future clinical work based on their specific situation using comprehensive epidemiological data and model methods.


Acknowledgments

We thank Professor Qi-Jian Cheng for her design suggestions and Director Guo-Hui Li for the organization and implementation to this study.

Funding: This work was supported by the Innovative Development Plan of Yunnan Diqing Prefecture Health and Family Planning Commission (number 2019AA002).


Footnote

Reporting Checklist: The authors have completed the MDAR reporting checklist. Available at http://dx.doi.org/10.21037/apm-20-2206

Data Sharing Statement: Available at http://dx.doi.org/10.21037/apm-20-2206

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/apm-20-2206). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was conducted in adherence to the guidelines of the Declaration of Helsinki (as revised in 2013). The study design was approved by the Ethics Committee of People’s Hospital of Diqing Tibetan Autonomous Prefecture (Yunnan, China). Signed informed consent forms were obtained from all participants.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Xiao Y. Relationship between reference value of Arterial Blood oxygen partial pressure and geographical factors in Healthy Chinese adults (Master thesis). Shanxi Normal University, 2004-04-01.
  2. Blood gas analysis of 316 healthy people in the Plateau area at 3200 meters above sea level. Qinghai Medicine 1980;(4):1-4.
  3. Sun XF. Blood gas analysis in 570 healthy adults of Lhasa. National Medical Journal of China 1985;65:468-70. [PubMed]
  4. Zhou Y, Liang B, Liang Z. Efficacy of extreme environment on respiratory system. Chinese Journal of Respiratory and Critical Care Medicine 2020;19:198-202.
  5. Wang Z, Li HL, Li Y, et al. The characteristics of chronic pulmonary heart disease and the diagnostic standard of its respiratory failure at high altitude. Journal of High Altitude Medicine 1996;6:13-7.
  6. Gao F. clinical characteristics of chronic pulmonary heart disease in the elderly in plateau region. Shaanxi Medical Journal 1999;28:396-8.
  7. Chen B, Guo Z. Study on blood gas variation in plateau area. Journal of High Altitude Medicine 2007;17:60-3.
  8. Pérez Martínez SO, Pérez-Padilla JR. Gasometric values reported in healthy subjects from the Mexican population: review and analysis. Rev Invest Clin 1992;44:353-62. [PubMed]
  9. Pérez Padilla JR, Vázquez García JC. Estimation of gasometric values at different altitudes above sea level in Mexico. Rev Invest Clin 2000;52:148-55. [PubMed]
  10. Simonson TS, McClain DA, Jorde LB, et al. Genetic determinants of Tibetan high-altitude adaptation. Hum Genet 2012;131:527-33. [Crossref] [PubMed]
  11. Gonggalanzi , Labasangzhu , Bjertness E, et al. Acute mountain sickness, arterial oxygen saturation and heart rate among Tibetan students who reascend to Lhasa after 7 years at low altitude: a prospective cohort study. BMJ Open 2017;7:e016460. [Crossref] [PubMed]
  12. Yang Y, Yang D, Sun Y, et al. Retinal vessel oxygen saturation and vessel diameter in healthy individuals during high-altitude exposure. Acta Ophthalmol 2019;97:279-86. [Crossref] [PubMed]
  13. Miele CH, Schwartz AR, Gilman RH, et al. Increased Cardiometabolic Risk and Worsening Hypoxemia at High Altitude. High Alt Med Biol 2016;17:93-100. [Crossref] [PubMed]
  14. Lewis CT, Malein WL, Chesner I, et al. High altitude arterialised capillary earlobe blood gas measurement using the Abbott i-STAT. J R Army Med Corps 2018;164:335-7. [Crossref] [PubMed]

(English Language Editor: J. Reynolds)

Cite this article as: Li GH, Zhang YQ, Zhang HQ. Blood gas analysis of healthy people in Diqing Tibetan Autonomous Prefecture in Yunnan Province. Ann Palliat Med 2021;10(1):285-291. doi: 10.21037/apm-20-2206

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