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International Journal of Clinical Pharmacy

, Volume 41, Issue 6, pp 1570–1577 | Cite as

Identification and resolution of drug-related problems in a tertiary hospital respiratory unit in China

  • Yulin Zhu
  • Cheng Liu
  • Yong ZhangEmail author
  • Qingping Shi
  • Yiqiu Kong
  • Muqun Wang
  • Xuemei Xia
  • Feng Zhang
Open Access
Research Article
  • 340 Downloads

Abstract

Background The prevalence of drug-related problems in patients hospitalized at respiratory care units is unknown in mainland China. Objective To identify and categorize drug-related problems in a respiratory care unit in China. Setting Respiratory care unit in a tertiary university hospital in China. Methods Clinical pharmacy services were introduced and documented during an 18-months study period. The problems were categorized using the Pharmaceutical Care Network Europe DRP classification tool V8.02. Main outcome measures Problems and causes of drug-related problems, interventions proposed, and outcome of pharmacy recommendations. Results A total of 474 patients were reviewed, 164 patients had DRPs (34.6%). Total 410 problems were identified, an average of 2.5 per patient. Treatment effectiveness was the major type of problem detected (219; 53.4%) followed by treatment safety (140; 34.1%). The most common causes of the problems were patient-related (25.8%), drug selection (24.0%), and drug use process (23.4%). Pharmacist made 773 interventions; average 1.9 per drug-related problem. A total of 96.2% of these interventions were accepted leading to solving 81.9% of the identified problems. Conclusion There is a high prevalence of drug-related problems in patients hospitalized at the respiratory unit of this clinic. Clinical pharmacists should focus on improving prescribing practice and patient counseling.

Keywords

China Clinical pharmacy services Drug-related problems PCNE Pharmaceutical care Respiratory care 

Impact on Practice

  • Clinical pharmacy services in a respiratory care unit contributes to the identification and resolution of drug-related problems.

  • Clinical pharmacists should focus on improving prescribing practice and patient counseling.

Introduction

Respiratory diseases are one of the most common diseases in the world [1] and caused 3.8 million deaths in 2015 worldwide [2]. The report released by the Forum of International Respiratory Societies identifies five conditions that primarily contribute to the global burden of respiratory disease: asthma, chronic obstructive pulmonary disease (COPD), acute respiratory infections, tuberculosis, and lung cancer [3]. Respiratory diseases were the third most common cause of death in China in 2015 [4].

Clinical pharmacy services can contribute to reducing hospital mortality rates [5]. Several studies have shown that pharmacist participation in respiratory disease management has an impact on patient care: they can educate patients on diseases and medications; improve medication compliance, disease control, and therapy outcomes; and reduce hospital admissions and healthcare-related costs [6, 7, 8, 9]. Identifying and resolving drug-related problems (DRPs) associated with prescription orders are the core activities of pharmaceutical care. A DRP is “an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes” [10]. DRPs may lead to increased morbidity, mortality, and healthcare costs [11].

Most research in respiratory disease management has been conducted in Western countries, and clinical pharmacy service in this patient care field is still in development in China. The extent and characteristics of DRPs in respiratory medicine units are unknown in mainland China, and the impact of pharmacist participation in patient care needs further research. We introduced a respiratory care pharmacy service at a Chinese hospital in 2015. This paper is a description of our findings.

Aim of the study

The objective was to categorize DRPs identified in a respiratory care unit and to assess interventions provided by pharmacists.

Ethics approval

The study was approved by the First Affiliated Hospital of Bengbu Medical College Institutional Review Board (No. 2015092).

Methods

Setting

The study was consducted in the respiratory medicine department from January 1, 2015, and June 30, 2016, at the First Affiliated Hospital of Bengbu Medical College, a 1,800-bed teaching hospital servicing a population of 30 million people in northern Anhui province, East China. The respiratory medicine unit has 120 beds, including 8 intensive care beds. Patients were cared for by a multi-disciplinary team (MDT) consisted of physicians, nurses, and one clinical pharmacist. The clinical pharmacist had completed residency training with a sub-specialty in infectious diseases accredited by the China Ministry of Health and had 5 years of hospital practice experience. The responsibilities of the clinical pharmacist were: (1) participating in daily MDT round and case discussions, (2) providing drug information and therapy consultations to the MDT, (3) reviewing medication orders to identify DRPs and proposing clinical interventions to resolve the DRPs identified. The hospital has computerized physician order entry (CPOE) with clinical decision support for physician prescribing and pharmacist order verification.

Study design and data collection

The pharmacist reviewed medication orders for all patients admitted to the respiratory medicine unit within the study period. The following patient demographic and clinical information were collected: gender, age, length of hospital stay, smoking and drinking habits, diagnosis on admission, and concomitant chronic diseases.

The pharmacist reconciled patients’ current medication lists, and an advanced medication review was performed for each patient by the clinical pharmacist within 24–48 h of patient admission to the unit during weekdays based on data collected from patient’s medical records, a direct patient-pharmacist interview and rounding with the MDT. During MDT rounds, pharmacists also paid attention to how nurses administered drugs when possible. The clinical pharmacist used relevant treatment guidelines from major Chinese and international associations to detect DRPs, and standardized databases such as the China National Formulary, Medscape, and UpToDate, to assist with the calculation of appropriate doses based on creatinine clearance (Cockcroft-Gault equation). Major treatment guidelines referenced were from the Infectious Diseases Society of America (IDSA) [12], the Chinese Thoracic Society [13], The Global Initiative for Asthma (GINA) [14] and The Global Initiative for Chronic Obstructive Lung Disease (GOLD) [15]). The Chinese guidelines are similar to international guidelines, except drugs are tailored based on Chinese formulary. DRPs identified were verified with the MDT, and appropriate pharmacy interventions to resolve the identified DRPs were discussed with the MDT. The clinical pharmacist evaluated the outcome of each recommendation, and the physicians confirmed the results.

Data and statistical analysis

The identified DRPs, causes, interventions, and outcomes were characterized using the Pharmaceutical Care Network Europe (PCNE) DRP classification V8.02, which was last updated in 2017 [16]. The rate of DRPs was estimated by calculating the number of DRPs per patient. One Problem (P) may have multiple Causes (C), and lead to more than one Intervention (I), but it leads to only one Outcome (O). A descriptive analysis was conducted on the patient’s demographics, clinical characteristics, causes of DRPs, and types and outcomes of interventions. Frequencies and percentages were calculated for categorical variables. All analyses were performed using SPSS 18.0. Data were presented as medians and interquartile ranges (IQRs) (25–75th percentiles). T test, variance analysis, χ2 analysis, and rank-sum test were used in the analysis. p values < 0.05 were considered statistically significant.

Results

Patient characteristics

A total of 474 patients was hospitalized during the 18-month study period, and 164 (34.6%) patients had DRPs requiring pharmacist interventions. Table 1 shows the demographic and clinical characteristics of these patients: the average age was 65.0 years, and 58.9% were males. The average length of hospital stay was 13.0 days, and patients with DRPs had a longer duration of hospital stay, 15.0 days versus 12.5 days. The top three reasons for admission were pneumonia (31.9%), lung cancer (25.7%), and acute exacerbation of COPD/Cor Pulmonale (23.8%). Total 33.8% of patients had concomitant cardiovascular diseases followed by diabetes (17.7%) and cerebrovascular diseases (12.4%). More DRPs were identified in patients with cardiovascular diseases and diabetes. The top three medication classes taken were: anti-infective drugs (77.8%) followed by drugs for the endocrine system (47.4%), and drugs for the respiratory tract (39.7%). Patients with DRPs exhibited greater use of cardiovascular and endocrine system drugs. Patients with DRPs took more drugs on average compared to patients without DRPs, 13.2 ± 5.2 versus 11.2 ± 4.9 (p < 0.0001).
Table 1

Patient demographic and clinical characteristics

Number

Total 474(100%)

With DRP 164(34.6%)

Without DRP 310(65.4%)

Characteristics

Sex, male

279 (58.9)

104 (63.4)

175 (56.5)

Age, years

65.0 ± 14.5

65.5 ± 14.8

64.0 ± 14.1*

Length of hospital stay, days

13.0 ± 13.3

15.0 ± 14.6

12.5 ± 11.8***

History of smoking habits

118 (24.9)

43 (26.2)

75(24.2)

History of drinking habits

68 (14.3)

23 (14.0)

45(14.5)

Admission diagnosis

Pneumonia

151 (31.9)

50 (30.5)

101(32.6)

AECOPDa/COPDb

113 (23.8)

42 (25.6)

71(22.9)

Lung cancer

122 (25.7)

42 (25.6)

80(25.8)

Pulmonary fibrosis

28 (5.9)

10 (6.1)

18(5.8)

Bronchiectasis

26 (5.5)

10 (6.1)

16(5.2)

Thrombus

21 (4.4)

7 (4.3)

14(4.5)

Asthma

13 (2.7)

3 (1.8)

10(3.2)

Concomitant diseases

Cardiovascular diseases

160 (33.8)

74 (45.1)

86(27.7)***

Diabetes

84 (17.7)

43 (26.2)

41(13.2)**

Cerebrovascular disease

59 (12.4)

23 (14.0)

36(11.6)

Chronic kidney disease

23 (4.9)

11 (6.7)

12(3.9)

Autoimmune disease

20 (4.2)

10 (6.1)

10(3.2)

Chronic liver disease

13 (2.7)

7 (4.3)

6(1.9)

Epilepsy

10 (2.1)

4 (2.4)

6(1.9)

Medication

Cardiovascular drugs

184 (38.8)

91(55.5)

93(30.0)***

Anti-infective drugs

369 (77.8)

135 (79.3)

234(75.5)

Nutrition/electrolyte/vitamin

135 (28.5)

52 (31.7)

83(26.8)

Respiratory drugs

188 (39.7)

66 (40.2)

122(39.4)

Endocrine system drugs

100 (47.4)

49 (29.9)

51(16.5)**

Digestive system drugs

139 (29.3)

45 (27.4)

94(30.3)

Traditional Chinese Medicine drugs

53 (11.2)

20(12.2)

33(10.6)

Nervous system drugs

47 (9.9)

18 (11.0)

29(9.4)

Liver protective drugs

17 (3.6)

10 (6.1)

7(2.3)

Glucocorticoid

132 (27.8)

42 (25.6)

90(29.0)

Lung cancer chemotherapy drugs/analgesics

122 (25.7)

42 (25.6)

80(25.8)

Mean number of drugs taken

 

13.2 ± 5.2

11.2 ± 4.9***

aAcute exacerbation of the chronic obstructive pulmonary disease

bChronic obstructive pulmonary disease

*p<0.05; **p<0.005; ***p<0.0001

Identified drug-related problems

A total of 410 DRPs were identified, an average of 2.5 per patient (Table 2). Treatment effectiveness P1 was the major type of DRPs (219 of 410 DRPs; 53.4%) followed by treatment safety P2 (140; 34.1%). Within the treatment effectiveness P1 category, the effect of drug treatment not optimal P1.2 was the dominant category (120/219; 54.8%).
Table 2

Identified problems according to the PCNE DRP classification tool V8.02

Primary domain

Type of problem

Total number = 410 (100%)

Treatment effectiveness P1

No effect of drug treatment P1.1

91 (22.2)

Effect of drug treatment not optimal P1.2

120 (29.3)

Untreated symptoms or indication P1.3

8 (1.9)

Treatment Safety P2

Adverse drug event (possibly) occurring P2.1

140 (34.1)

Others P3

Problem with cost-effectiveness of the treatment P3.1

12 (3.0)

Unnecessary drug-treatment P3.2

39 (9.5)

Unclear problem/complaint. Further clarification necessary P3.3

0 (0)

Causes of drug-related problems identified

A total of 492 DRP causes were identified (Table 3). Patient-related C7 category was the primary cause of DRPs (127; 25.8%) followed by drug selection C1 (118; 24.0%) and drug use process C6 (115; 23.4%). Within these top three domains, the number one subcategory for each domain was: patient uses/takes less drug than prescribed or does not take the drug at all C7.1 (35/127; 27.6%) in the patient-related domain; inappropriate duplication of therapeutic group or active ingredient C1.5 (36/118; 30.5%) in the drug selection domain, and inappropriate timing of administration and/or dosing intervals C6.1 (84/115; 73.0%) in the drug use process domain.
Table 3

Identified causes according to the PCNE DRP classification tool V8.02

Primary domain

Cause of the problem

Total number = 492 (100%)

Drug selection C1

Inappropriate drug according to guidelines/formulary C1.1

18 (3.6)

Inappropriate drug (within guidelines but otherwise contra-indicated) C1.2

13 (2.6)

No indication for drug C1.3

13 (2.6)

Inappropriate combination of drugs or drugs and herbal medication C1.4

26 (5.3)

Inappropriate duplication of therapeutic group or active ingredient C1.5

36 (7.4)

No drug treatment in spite of existing indication C1.6

4 (0.8)

Too many drugs prescribed for indication C1.7

8 (1.7)

Drug form C2

Inappropriate drug form (for this patient) C2.1

9 (1.8)

Dose selection C3

Drug dose too low C3.1

11 (2.2)

Drug dose too high C3.2

40 (8.1)

Dosage regimen not frequent enough C3.3

13 (2.6)

Dosage regimen too frequent C3.4

20 (4.1)

Dose timing instructions wrong, unclear or missing C3.5

11 (2.3)

Treatment duration C4

Duration of treatment too short C4.1

3 (0.6)

Duration of treatment too long C4.2

7 (1.4)

Dispensing C5

Prescribed drug not available C5.1

0 (0)

Necessary information not provided C5.2

0 (0)

Wrong drug, strength or dosage advised (OTC) C5.3

0 (0)

Wrong drug or strength dispensed C5.4

0 (0)

Drug use process C6

Inappropriate timing of administration and/or dosingintervals C6.1

84 (17.1)

Drug under-administered C6.2

6 (1.3)

Drug over-administered C6.3

1 (0.3)

Drug not administered at all C6.4

15 (3.1)

Wrong drug administered C6.5

0 (0)

Drug administered via wrong route C6.6

9 (0.8)

Patient related C7

Patient uses/takes less drug than prescribed or does nottake the drug at all C7.1

35 (7.1)

Patient uses/takes more drug than prescribed C7.2

0 (0)

Patient abuses drug (unregulated overuse) C7.3

5 (1.0)

Patient uses unnecessary drug C7.4

10 (1.9)

Patient takes food that interacts C7.5

8 (1.5)

Patient stores drug inappropriately C7.6

0 (0)

Inappropriate timing or dosing intervals C7.7

26 (5.3)

Patient administers/uses the drug in a wrong way C7.8

19 (3.9)

Patient unable to use drug/form as directed C7.9

24 (4.9)

Other C8

No or inappropriate outcome monitoring (including TDM) C8.1

18 (3.6)

Other cause; specify C8.2

0 (0)

No obvious cause C8.3

0 (0)

Proposed interventions to resolve the identified DRPs

A total of 773 interventions were suggested; average 1.9 interventions per DRP identified (Table 4). Most interventions occurred at the drug-level I3 (341; 44.1%) followed by at the prescriber-level I1 (270; 34.9%). At the drug-level, dosage change I3.2 was the major sub-domain (121/341; 35.5%); and intervention proposed to prescriber I1.3 (174/270; 64.4%) was the major sub-category at the prescriber-level.
Table 4

Proposed interventions according to the PCNE DRP classification tool V8.02

Primary domain

Type of intervention

Total number = 773 (100%)

No intervention I0

No Intervention I0.1

0 (0)

At prescriber level I1

Prescriber informed only I1.1

67 (8.7)

Prescriber asked for information I1.2

13 (1.7)

Intervention proposed to prescriber I1.3

174 (22.5)

Intervention discussed with prescriber I1.4

16 (2.1)

At patient level I2

Patient (drug) counseling I2.1

52 (6.7)

Written information provided (only) I2.2

12 (1.6)

Patient referred to prescriber I2.3

2 (0.3)

Spoken to family member/caregiver I2.4

87 (11.3)

At drug level I3

Drug changed to …. I3.1

66 (8.5)

Dosage changed to …. I3.2

121 (15.7)

Formulation changed to ….. I3.3

15 (1.9)

Instructions for use changed to …. I3.4

7 (0.9)

Drug stopped I3.5

102 (13.2)

New drug started I3.6

30 (3.9)

Other intervention or activity I4

Other intervention (specify) I4.1

0 (0)

Side effect reported to authorities I4.2

9 (1.2)

Acceptance of the intervention proposals

Total 744 (96.2%) interventions were accepted and regarded as clinically relevant. Among these accepted interventions, 662 (89.0%) were accepted and fully implemented by prescribers or patients (Table 5).
Table 5

Acceptance of the intervention proposals according to the PCNE DRP classification tool V8.02

Primary domain

Type of implementation

Total number = 773 (100%)

Intervention accepted (by prescriber or patient) A1

Intervention accepted and fully implemented A1.1

662 (85.6)

Intervention accepted, partially implemented A1.2

55 (7.1)

Intervention accepted but not implemented A1.3

10 (1.3)

Intervention accepted, implementation unknown A1.4

17 (2.2)

Intervention not accepted (by prescriber or patient) A2

Intervention not accepted: not feasible A2.1

3 (0.4)

Intervention not accepted: no agreement A2.2

13 (1.7)

Intervention not accepted: other reason (specify) A2.3

0 (0)

Intervention not accepted: unknown reason A2.4

4 (0.5)

Other(no information on acceptance) A3

Intervention proposed, acceptance unknown A3.1

9 (1.2)

Intervention not proposed A3.2

0 (0)

Outcomes of interventions

A total of 410 DRPs were identified, and 336 (81.9%) DRPs were solved, while 42 (10.3%) DRPs were partially solved, and 32 (7.8%) DRPs were unresolved (Table 6). Among the not solved O3 domain, lack of cooperation from patient O3.1 or prescriber O3.2 were the major causes of failed intervention outcome.
Table 6

Outcomes according to the PCNE DRP classification tool V8.02

Primary domain

Outcome of intervention

Total number = 410 (100%)

Not known O0

Problem status unknown O0.1

0

Solved O1

Problem totally solved O1.1

336 (81.9)

Partially solved O2

Problem partially solved O2.1

42 (10.3)

Not solved O3

Problem not solved, lack of cooperation of patient O3.1

16 (4.0)

Problem not solved, lack of cooperation of prescriber O3.2

13 (3.1)

Problem not solved, intervention not effective O3.3

3 (0.6)

No need or possibility to solve problem O3.4

0

Discussion

To the best of our knowledge, this is the first prospective study describing the prevalence of drug-related problems in patients admitted to a respiratory care unit in mainland China. DRPs are common in this patient population. This highlights the needs for clinical pharmacy service in this specialized patient care unit.

Total 34.6% of the patients in our study had DRPs, and the average number of DRPs per patient was 2.5. We could not find the prevalence of DRPs in respiratory care units in published studies for a direct comparison. Some studies showed a significantly different mean number of DRPs per patient in Chinese hospitals. For example, a study in hospitalized surgical patients in China reported a mean of 0.3 DRPs per patient using the PCNE classification V8.02 [17]. The study in cardiovascular units in Northern Cyprus demonstrates that 61% of patients had DRPs using the PCNE classification V6.2, and the average DRPs per patient was 1.6 [18]. Another study done in an internal medicine ward in Turkey indicates that 80% of patients had DRPs using PCNE classification V7.0, an average of 1.6 DRPs per patient [19]. The methodological issues of reporting, study population and setting, and classification could contribute to the variations of DRP prevalence among studies [20].

In our analysis, there were no significant differences between males and females regarding the number of DRPs. However, there was a connection between an increased hospital stay and the development of DRPs. This association was also observed in the Turkish study in internal medicine patients [19]. More medications could be prescribed to patients with longer hospital stays, and this might have contributed to an increased number of DRPs.

The causes of the DRPs identified were mainly at the patient level, drug selection, and drug use process, and these accounted for 73.5% of the causes. This indicates that a patient’s drug use behavior, physician’s prescription behavior, and nurse drug administration all could affect the appropriate use of drugs. Patients were allowed to keep and take their own medications before and during admission, which could be the cause for DRPs. This demonstrates the necessity of medication reconciliation by pharmacists. One patient-level example was: a patient who needed government assistance support had multiple severe COPD exacerbations requiring hospitalizations. Upon the clinical pharmacist interview to the patient, we found that this patient had insufficient knowledge about his medications and his poor inhaler use skills led to his poor COPD control. Studies have demonstrated that treatment-to-goal education with both verbal instructions and device demonstration is an essential first step toward improving self-management and health outcomes for hospitalized patients with COPD, especially among patients with lower levels of health literacy [21, 22]. One example at the prescriber drug selection level was cefuroxime combined with moxifloxacin was frequently prescribed for admitted community-acquired pneumonia patients regardless of the patient’s exposure to the environment, medication history, and other characteristics. One example at the nurse drug administration level was antibacterial drug dosing interval such as q6 h, q8 h, or q12 h were often administrated at wrong time intervals.

Compared to patients without DRPs, patients with DRPs took more drugs, especially cardiovascular and endocrine system drugs. The three primary medication classes associated with DRPs were anti-infective drugs (79.3%), cardiovascular drugs (55.5%), and respiratory drugs (40.2%). The drug types were consistent with the admission diagnoses such as pneumonia (30.5%), AECOPD/COPD (25.6%), and lung cancer (25.6%). However, the cardiovascular system drugs ranked second, while lung cancer chemotherapy drugs/analgesics and glucocorticoids ranked seventh. In our patient population, cardiovascular disease was the most common comorbidity (45.1%), leading to increased DRPs. In contrast, chemotherapy for lung cancer was generally followed by relevant guidelines with a few occurrences of DRPs. These findings suggest that when providing clinical services at respiratory units, pharmacists should focus on patients with comorbidities taking drugs other than respiratory drugs. Specialists may, in general, have less knowledge about these drugs and disease conditions. The added value of clinical pharmacists is mainly on DRPs in general, and the overview of complete pharmacotherapy.

The safety of drug treatment accounted for almost 40% of the types of DRPs identified in our study. Some of the examples of DRPs identified were: a patient with pulmonary infection was treated with cefoperazone/sulbactam for 14 days with an undetected prothrombin time of 64 s; voriconazole was dosed without a dosing adjustment for an invasive pulmonary fungal infection in a patient with liver function of the Child–Pugh grade C; and a 65-year-old male epilepsy patient took carbamazepine for 15 years with a development of aplastic anemia. The specific role of the clinical pharmacist in improving medication safety is increasingly important, especially for patients admitted to an intensive care unit due to high risk for prescribing errors and related adverse drug events [23, 24]. Pharmacists should actively monitor patients’ drug therapy with consideration of relevant laboratory parameters. Recommendations on optimizing the clinical decision support in the CPOE system should also be proposed at the hospital level.

In our study, treatment effectiveness was the dominant type of DRPs, and this was similar to the study evaluating clinical pharmacy services to cardiovascular clinics in Northern Cyprus [18]. Patient-related category and drug selection accounted for approximately 50% causes of the DRPs in that study. In the Turkish study, drug selection was the primary cause of DRPs. Pharmacists made an average 1.9 interventions for each DRP identified in our study, and the acceptance of pharmacists’ interventions was high, 96.2%, which is comparable to the findings in the Northern Cyprus study (93.1%). In our study, intervention accepted and fully implemented was 85.6%; this was similar to the Swiss University Hospital study of 83.0% [25] but lower than the study in Italy [26]. This high rate of acceptance demonstrates that pharmacist’s interventions were relevant and highly useful for physicians, especially in determining the optimal drug dosage for patients. The high acceptance and implementation of pharmacist’s interventions led to more than 90% of the DRPs identified solved or partially solved.

Our study has the following limitations: (1) it was conducted in a single hospital, and the DRP patterns may not be generalizable for other departments or other hospitals in China, (2) the small size of the study group, which only included 164 patients and (3) medication review was performed by one pharmacist and no validation of this review or study data was performed by another pharmacist. Furthermore, our study only assessed pharmacists’ impact on identifying and resolving DRPs related to patients’ pharmacotherapy, the relationship between the outcome of DRPs and patients’ clinical outcome requires future research.

Conclusion

A high rate of DRPs is observed in patients hospitalized in a respiratory care unit in China. A total 34.6% of the patients in our study had drug-related problems, and the average number of DRPs per patient was 2.5. The study also demonstrates that clinical pharmacists can identify DRPs and make clinical interventions to resolve the identified DRPs.

Notes

Funding

This work was supported by the Key Research and Development Program of Anhui Province (Grant No. 1804h08020287).

Conflicts of interest

All authors declare that they have no conflict of interest.

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of PharmacyThe First Affiliated Hospital of Bengbu Medical CollegeBengbuChina
  2. 2.Critical Care MedicineThe First Affiliated Hospital of Bengbu Medical CollegeBengbuChina
  3. 3.Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Bengbu Medical CollegeBengbuChina

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