Literature DB >> 27213039

Assessing the magnitude and trends in hospital acquired infections in Canadian hospitals through sequential point prevalence surveys.

Geoffrey Taylor1, Denise Gravel2, Anne Matlow3, Joanne Embree4, Nicole LeSaux5, Lynn Johnston6, Kathryn N Suh5, Michael John7, John Embil4, Elizabeth Henderson8, Virginia Roth5, Alice Wong9.   

Abstract

BACKGROUND: Healthcare acquired infections (HAI) are an important public health problem in developed countries, but comprehensive data on trends over time are lacking. Prevalence surveys have been used as a surrogate for incidence studies and can be readily repeated.
METHODS: The Canadian Nosocomial Infection Surveillance Program conducted prevalence surveys in 2002 and 2009 in a large network of major Canadian acute care hospitals. NHSN definitions of HAI were used. Use of isolation precautions on the survey day was documented.
RESULTS: In 2009, 9,953 acute care inpatients were surveyed; 1,234 infections (124/1000) were found, compared to 111/1000 in 2002, (p < 0.0001). There was increased prevalence of urinary tract infection (UTI) and Clostridium difficile, offset by decreases in pneumonia and bloodstream infection. Use of isolation precautions increased from 77 to 148 per 1000 patients (p < 0.0001), attributable to increased use of contact precautions in patients infected or colonized with antimicrobial resistant organisms.
CONCLUSION: Between 2002 and 2009 HAI prevalence increased by 11.7 % in a network of major Canadian hospitals due to increases in Clostridium difficile and urinary tract infection. The use of isolation precautions increased by 92.2 % attributable to increased contact isolation. National prevalence surveys are useful tools to assess evolving trends in HAI.

Entities:  

Keywords:  Canada; Healthcare acquired infection; Isolation precaution; Prevalence

Year:  2016        PMID: 27213039      PMCID: PMC4875760          DOI: 10.1186/s13756-016-0118-3

Source DB:  PubMed          Journal:  Antimicrob Resist Infect Control        ISSN: 2047-2994            Impact factor:   4.887


Background

Hospital acquired infections (HAI) are a common complication of healthcare, but determining their frequency and assessing trends over time is difficult [1]. For the most part HAI are not notifiable in Canadian provinces. Comprehensive continuous surveillance for all HAI within hospitals is time and labour intensive, consequently very few hospital Infection Prevention and Control (IPC) programs conduct this type of surveillance. Nevertheless, there is a need to determine the extent, subtypes and trends in HAI over time so that national, provincial and local practitioners and policy decision makers can identify priorities for preventive action. Comprehensive, multi-institutional prevalence surveys for the occurrence of HAI have been adopted as a cost and time effective alternative to ongoing surveillance for HAI at national and sub-national levels [2-6]. By repeating such surveys trends can be accurately assessed [7]. The Canadian Nosocomial Infection Surveillance Program (CNISP) has conducted HAI surveillance in a network of Canadian hospitals since 1993. CNISP conducted surveys for the prevalence of HAI within network hospitals in 2002 and again in 2009, and has previously reported partial results [8-10]. In preparation for a possible repeat national survey, we wished fully compare the results of the two previous surveys to determine which developing areas may require further in-depth future review. In this report we fully describe the assessment of HAI prevalence and use of isolation precautions in patients in CNISP hospitals in 2009, compare the results to our 2002 survey, and discuss the ongoing value of HAI prevalence surveys based on these comparisons.

Methods

CNISP, a network of acute care hospitals from 10 Canadian provinces, is a partnership between the Public Health Agency of Canada (Agency) and the Canadian Hospital Epidemiology Committee, a group of hospital-based physician infection prevention specialists. The number of hospitals participating in CNISP increased from 32 in 2002 to 50 hospitals in 2009; 7(14 %) are standalone pediatric centres. Surveillance for HAI in participating hospitals is considered to be a quality assurance activity within the mandate of hospital infection prevention and control programs and, therefore, does not constitute human research, therefore research ethics committee approval was not needed for this study. Twenty-five (25) acute-care CNISP member hospitals with 6 pediatric hospitals and 19 combined pediatric and adult hospitals in eight provinces participated in a one-day HAI point-prevalence survey in February 2002. In February 2009, 49 hospitals including 7 pediatric and 42 combined pediatric and adult hospitals carried out a point-prevalence study. To ensure comparability of results, definitions of HAI, and case finding by chart review were identical in the 2002 and 2009 surveys. In both surveys, chart reviewers underwent pre-study training regarding HAI definitions and chart review methods. Information on HAI, utilization of antimicrobial agents and use of isolation precautions was collected. Patients were identified by a ward census list obtained at a pre-specified time on the day the survey was conducted. Patients on long term care units, psychiatric units, rehabilitation units, maternity wards, well baby units and day surgery units were excluded. No patient was enrolled more than once during the surveillance period. The primary outcome was the presence of an HAI, which was defined as an infection not present on admission and with onset at least 72 h after admission. The study was limited to the following infections: hospital acquired pneumonia (HAP), urinary tract infection (UTI), bloodstream infection (BSI), surgical site infection (SSI) and Clostridium difficile infection (CDI). CDC/NHSN definitions for nosocomial infection were used for all HAI [11]. Isolation precautions beyond routine practices (Additional Precautions) were categorized as defined by the Public Health Agency of Canada [12]. Patient information was collected on manually completed data forms and included: date of admission, the admitting medical or surgical service, antimicrobial agents received on the day of the survey, and isolation precautions in place on the survey day. After testing for normality, prevalence ratios were calculated and differences between infected and non-infected patients were assessed using a Wald test for categorical variables and a Student’s t-test for continuous variables. All tests were two-tailed, and P < 0.05 was considered statistically significant. Data analysis was performed using SAS version 8.1 (SAS Institute, Cary, NC,USA).

Results

In the 2009 survey 9,953 patients were evaluated; 8,565 (86.1) were adults (>18 years of age). 622 (6.4) were 1 to 17 years of age, and 729 (7.3 %) were infants under the age of 1 years. Table 1 describes characteristics of surveyed patients. There were 1,231 HAI identified in 1,173 patients (11.8); 1,470 patients (16.7) were on isolation precautions and 3,998 (40.2 %) were receiving antimicrobial agents. Table 2 compares characteristics of HAI and non – HAI patients in 2009. HAI were more common in Surgery and Critical Care patients, and less frequent in Medicine and Obstetrics-gynecology patients. Patients with HAI were somewhat older and more likely to be on surgical or Intensive Care units than non-HAI patients, and more likely to be on isolation precautions and receiving antimicrobial therapy. Table 3 subdivides HAI types into Adult, Children and Infant categories, highlighting the major variation in HAI prevalence by age category. Table 4 compares the frequency and distribution of HAI in 2002 and 2009. In 2009 the prevalence of HAI was 124 per 1000 patients surveyed, compared with 111 per 1000 in surveyed in 2002 (p < 0.0001). Between the two surveys there was a significant increase in the prevalence of UTI (from 3.0 to 4.3) and CDI (from 0.8 to 1.2 %). HAP and BSI both slightly, but significantly, decreased in prevalence. Surgical site infections were unchanged.
Table 1

Characteristics of Patients Surveyed in 2009

All Patients N = 9953 aAdults N = 8565 (86.1 %)Children N = 622 (6.2 %)Infants N = 729 (7.3 %)
N%N%N%N%
Male Genderb 510151.3436751.332452.139454.0
Unit Type
 Medicine/Pediatric384038.6350140.922636.310113.9
 Surgery295929.7280232.712319.8253.4
 Intensive Care114111.55326.2538.555175.6
 Oncology/Hematology3503.52442.89815.860.8
 Critical Cared 2332.32332.70000
 Transplant1771.81391.6335.340.5
 Trauma760.8710.820.330.4
 Gynecology/Obstetrics1571.61461.70071.0
 Others102010.289710.58714.0324.4
 Total99531008565100622100729100
Receiving antimicrobial agent(s)399840.2344240.232952.921429.4
Isolation Precautionsc
 None848385.2732285.548377.764888.9
 Droplet2582.61141.38714.0557.5
 Air750.8530.6152.460.8
 Contact131613.2113613.311017.7648.8
 Other70.0740.0520.3210.14
HAI Presente 117311.8105312.36610.6527.1

aAdults are defined as 18 years of age and older, children age 1–17 years of age, and infants as under 1 year of age

bDoes not add to 9953 due to missing data

cColumns add up to a number greater than sample size due to patients being in multiple types of isolation

d Critical care refers to those patients in critical and coronary units with or without mechanical ventilation

eHAI Health care associated infections

Table 2

Comparison of HAId and non-HAI Patients Surveyed

Non-HAI Patients N = 8780HAI Patients N = 1173 P value
N%N%
Age in years ± SD57.9 ± 27.762 ± 25
 Median (min-max)65 (0–108)68 (0–99)
Male Gendera 449251.260951.90.6409
Unit Type
 Medicine/Pediatric345539.438532.8<0.0001
 Surgery257729.438232.60.0248
 Intensive Care93410.620717.6<0.0001
 Oncology/Hematology3133.6373.20.5543
 Critical Carec 2212.5121.00.0007
 Transplant1531.7242.00.4794
 Trauma700.860.50.3720
 Gynecology/Obstetrics1491.780.70.0058
 Others90810.31129.50.4419
Receiving antimicrobial agent(s)292533.3107391.50.0001
Isolation Precautionsb
 None764987.183.471.10.0001
 Droplet2092.3494.20.0001
 Air720.830.30.0305
 Contact100011.431626.90.0001
 Other50.0620.20.1955

aDoes not add to 8780 due to missing data

bColumn adds up to a number greater than sample size due to patients being in multiple types of isolation

cCritical care refers to those patients in critical and coronary units with mechanical ventilation

dHAI is the abbreviation for Health care associated infections

Table 3

Prevalence of healthcare-associated infections identified during the 2009 point prevalence survey (N = 1173)

Type of HAIAll HAI Patients n = 1173HAI Adults n = 1053 (90 %)HAI Children n = 66 (6 %)HAI Infants n = 52 (4 %)
No.%No.%No.%No.%
Urinary Tract42834.841439.050.480.7
Pneumonia Total26821.824820.2161.340.3
 VAP826.7715.880.730.2
 Non VAP17514.216713.670.610.1
Surgical Site Total21417.420016.3100.840.3
 PI related635.1584.750.400
 Non PI related1331112410.150.440.3
Blood Stream Total16913.813110.6151.2231.9
 Primary, non CVC-BSI735.9483.9110.9141.1
 Primary, CVC-BSI292.4191.520.280.7
 Secondary635.1604.920.210.1
CDI1159.31108.940.300
Viral Respiratory Illness171.450.490.730.2
Viral Gastroenterocolitis171.400100.870.6
NEC30.2000030.2
Total + 1231100110890.0695.6524.2

Abbreviations: VAP ventilator-associated pneumonia, PI prosthetic implant, CVC-BSI central venous catheter associated blood stream infection, CDI Clostridium difficile infection, NEC Necrotizing enterocolitis

Table 4

Comparison of Prevalence of Healthcare Associated Infections in CNISP Hospitals in 2002 and 2009

20022009 P value
Participating Hospitals2549
Surveyed patients67479953
Prevalencea 111124 p <0.0001
Urinary tract3.0 %4.3 % p <0.0001
Surgical site2.3 %2.3 % p > 0.05
Pneumonia2.9 %2.7 % p <0.0001
Blood stream1.8 %1.7 % p <0.0001
Clostridium difficile 0.8 %1.2 % p <0.0001

aper 1000 survey patients

Characteristics of Patients Surveyed in 2009 aAdults are defined as 18 years of age and older, children age 1–17 years of age, and infants as under 1 year of age bDoes not add to 9953 due to missing data cColumns add up to a number greater than sample size due to patients being in multiple types of isolation d Critical care refers to those patients in critical and coronary units with or without mechanical ventilation eHAI Health care associated infections Comparison of HAId and non-HAI Patients Surveyed aDoes not add to 8780 due to missing data bColumn adds up to a number greater than sample size due to patients being in multiple types of isolation cCritical care refers to those patients in critical and coronary units with mechanical ventilation dHAI is the abbreviation for Health care associated infections Prevalence of healthcare-associated infections identified during the 2009 point prevalence survey (N = 1173) Abbreviations: VAP ventilator-associated pneumonia, PI prosthetic implant, CVC-BSI central venous catheter associated blood stream infection, CDI Clostridium difficile infection, NEC Necrotizing enterocolitis Comparison of Prevalence of Healthcare Associated Infections in CNISP Hospitals in 2002 and 2009 aper 1000 survey patients Figure 1 illustrates changes in prevalence of use of isolation precautions (beyond routine practices) on the survey day. There was a near doubling of use of Additional Precautions, from 77/1000 survey patients in 2002 to 148/1000 in 2009 (p < 0.0001), almost entirely driven by increased Contact Precautions (from 63 to 132/1000 patients). Figure 2 illustrates conditions responsible for precautions in the two surveys. As indications for precautions, MRSA, CDI and VRE were all significantly increased in 2009 compared to 2002.
Fig. 1

Patients on additional precautions

Fig. 2

Reasons for additional precautions in surveyed patients

Patients on additional precautions Reasons for additional precautions in surveyed patients

Discussion

CNISP has carried out two national surveys to estimate the prevalence of HAI in Canadian hospitals. The number of hospitals participating increased between the two surveys (from 25 in 2002 to 49 in 2009), however, the nature of the CNISP, hospitals network did not significantly change. Most are large urban teaching hospitals [13]. By using an identical survey tool, and standard HAI definitions for the two surveys we hoped to then evaluate changes in frequency of HAI (and related concepts, such as isolation precautions, and use of antimicrobial agents) in hospitalized patients. Based on these surveys, there was an 11.7 % increase in prevalence of HAI between 2002 and 2009, largely driven by increases in UTI and CDI, partially offset by reductions in HAP and BSI. Explanations for these changes are speculative. In Canada, as elsewhere, as less acutely ill patients are increasingly managed in ambulatory settings the residual core of hospitalized patients may have higher acuity, and so may be more prone to HAI. The change in distribution of HAI is of interest. As central venous catheter and ventilator associated pneumonia (VAP) prevention bundles are implemented, reduced prevalence of BSI and HAP may occur [14,15]. We have previously documented increased incidence of CDI in CNISP hospitals [16]. An explanation for increased prevalence of UTI is not apparent. The factors responsible for changing HAI distribution in Canada require further research. Our data indicates that there was a substantial increase in use of isolation precautions in CNISP hospitals between 2002 and 2009, primarily as a result of increased use of Contact Precautions (CP). This increase in CP was associated with increased need for isolation of patients due to CDI, methicillin resistant Staphylococcus aureus (MRSA) and vancomycin resistant enterococci (VRE). CNISP has documented increased incidence of all of these microorganisms over the last decade [16-18]. Our prevalence surveys are observational and cannot readily assess the effectiveness of CP in limiting increase in CDI, MRSA or VRE frequency. Isolation precautions are used in hospitalized patients to interrupt transmission of organisms [19]. While there has been concern that transmission precautions may have adverse patient effects [20], a study of routine CP in ICU patients found no increase in adverse patient events [21] and a cohort study of non ICU patients found that patients on CP had a reduced frequency of non-infectious adverse events [22]. However Dhar et al. found that as the proportion of patients in CP increased, compliance with precautions decreased [23]. There is an emerging trend to reduce use of CP for some conditions, particularly for patients with VRE [24-27] but more research is needed to determine the most effective approach to isolation precautions in acute care settings. Despite the relatively short interval between our two surveys, we have documented substantial changes in HAI prevalence and distribution, use of antimicrobial therapy [10] and use of isolation practices in Canadian acute care hospitals. The CNISP hospital network expanded in the years between the two surveys. While the nature of the hospitals did not systemically change, this represents a limitation in comparing results of the two surveys. CNISP hospitals are primarily tertiary care teaching and/or large urban referral hospitals [13]. This represents a limitation in the representativeness of CNISP amongst Canadian hospitals. In addition studies evaluating results of incidence and prevalence studies indicate that there is not a direct correlation between prevalence and incidence [28]. The information we report are now seven years old which is a major limitation in the data presented. It seems likely that the developing trends we have documented between 2002 and 2009 may have continued since then. Front line practitioners and healthcare administrators have an urgent need for more up to date data to permit IPC programs to be developed and modified in response to the changing pattern of HAI in Canada. Consequently a repeat survey is a high priority for our network. Neverthless these data currently represents the only comprehensive estimates of the occurance of HAI in Canadian hospitals.

Conclusion

Between 2002 and 2009 in a network of acute care hospitals in Canada HAI prevalence increased from 111 to 124 per 1000 patients. The use of isolation precautions increased from 77 to 148 per 1000 patients.

Availability of the data

The database for this project is held by the Public Health Agency of Canada.

Ethics statement

Surveillance for healthcare acquired infections in in patients in participating hospitals is considered to be within the mandate of hospital infection prevention and control programs and therefore does not constitute human research requiring Institutional Review Board approval.

Consent to participate

Not applicable.
  25 in total

1.  The Effect of Contact Precautions on Frequency of Hospital Adverse Events.

Authors:  Lindsay D Croft; Michael Liquori; James Ladd; Hannah Day; Lisa Pineles; Elizabeth Lamos; Ryan Arnold; Preeti Mehrotra; Jeffrey C Fink; Patricia Langenberg; Linda Simoni-Wastila; Eli Perencevich; Anthony D Harris; Daniel J Morgan
Journal:  Infect Control Hosp Epidemiol       Date:  2015-08-17       Impact factor: 3.254

2.  The Effect of Universal Glove and Gown Use on Adverse Events in Intensive Care Unit Patients.

Authors:  Lindsay D Croft; Anthony D Harris; Lisa Pineles; Patricia Langenberg; Michelle Shardell; Jeffrey C Fink; Linda Simoni-Wastila; Daniel J Morgan
Journal:  Clin Infect Dis       Date:  2015-04-21       Impact factor: 9.079

3.  Horizontal infection prevention measures and a risk-managed approach to vancomycin-resistant enterococci: An evaluation.

Authors:  Elizabeth Bryce; Jennifer Grant; Sydney Scharf; Linda Dempster; Tim T Y Lau; Felicia Laing; Salomeh Shajari; Leslie Forrester
Journal:  Am J Infect Control       Date:  2015-07-17       Impact factor: 2.918

4.  Reconsidering contact precautions for endemic methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus.

Authors:  Daniel J Morgan; Rekha Murthy; L Silvia Munoz-Price; Marsha Barnden; Bernard C Camins; B Lynn Johnston; Zachary Rubin; Kaede V Sullivan; Andi L Shane; E Patchen Dellinger; Mark E Rupp; Gonzalo Bearman
Journal:  Infect Control Hosp Epidemiol       Date:  2015-07-03       Impact factor: 3.254

Review 5.  Prevalence of nosocomial infections in hospitals in Norway, 2002 and 2003.

Authors:  H M Eriksen; B G Iversen; P Aavitsland
Journal:  J Hosp Infect       Date:  2005-05       Impact factor: 3.926

6.  Prevalence of nosocomial infections in France: results of the nationwide survey in 1996. The French Prevalence Survey Study Group.

Authors: 
Journal:  J Hosp Infect       Date:  2000-11       Impact factor: 3.926

7.  Estimating health care-associated infections and deaths in U.S. hospitals, 2002.

Authors:  R Monina Klevens; Jonathan R Edwards; Chesley L Richards; Teresa C Horan; Robert P Gaynes; Daniel A Pollock; Denise M Cardo
Journal:  Public Health Rep       Date:  2007 Mar-Apr       Impact factor: 2.792

8.  Vancomycin-resistant enterococci in Canada: results from the Canadian nosocomial infection surveillance program, 1999-2005.

Authors:  Marianna Ofner-Agostini; B Lynn Johnston; Andrew E Simor; John Embil; Anne Matlow; Michael Mulvey; Debbie Ormiston; John Conly
Journal:  Infect Control Hosp Epidemiol       Date:  2008-03       Impact factor: 3.254

9.  Health care-associated Clostridium difficile infection in adults admitted to acute care hospitals in Canada: a Canadian Nosocomial Infection Surveillance Program Study.

Authors:  Denise Gravel; Mark Miller; Andrew Simor; Geoffrey Taylor; Michael Gardam; Allison McGeer; James Hutchinson; Dorothy Moore; Sharon Kelly; David Boyd; Michael Mulvey
Journal:  Clin Infect Dis       Date:  2009-03-01       Impact factor: 9.079

10.  Prevalence of antimicrobial use in a network of Canadian hospitals in 2002 and 2009.

Authors:  Geoffrey Taylor; Denise Gravel; Lynora Saxinger; Kathryn Bush; Kimberley Simmonds; Anne Matlow; Joanne Embree; Nicole Le Saux; Lynn Johnston; Kathryn N Suh; John Embil; Elizabeth Henderson; Michael John; Virginia Roth; Alice Wong
Journal:  Can J Infect Dis Med Microbiol       Date:  2015 Mar-Apr       Impact factor: 2.471

View more
  10 in total

1.  Point prevalence surveys of health-care-associated infections: a systematic review.

Authors:  Zikria Saleem; Brian Godman; Mohamed Azmi Hassali; Furqan Khurshid Hashmi; Faiza Azhar; Inayat Ur Rehman
Journal:  Pathog Glob Health       Date:  2019-06-19       Impact factor: 2.894

2.  Trends in health care-associated infections in acute care hospitals in Canada: an analysis of repeated point-prevalence surveys.

Authors:  Robyn Mitchell; Geoffrey Taylor; Wallis Rudnick; Stephanie Alexandre; Kathryn Bush; Leslie Forrester; Charles Frenette; Bonny Granfield; Denise Gravel-Tropper; Jennifer Happe; Michael John; Christian Lavallee; Allison McGeer; Dominik Mertz; Linda Pelude; Michelle Science; Andrew Simor; Stephanie Smith; Kathryn N Suh; Joseph Vayalumkal; Alice Wong; Kanchana Amaratunga
Journal:  CMAJ       Date:  2019-09-09       Impact factor: 8.262

3.  How to improve hospital admission screening for patients at risk of multidrug-resistant organism carriage: a before-and-after interventional study and cost-effectiveness analysis.

Authors:  Dominique Joubert; Stephane Cullati; Pascal Briot; Lorenzo Righi; Damien Grauser; Aimad Ourahmoune; Pierre Chopard
Journal:  BMJ Open Qual       Date:  2022-04

4.  Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.

Authors:  Jens Kjølseth Møller; Martin Sørensen; Christian Hardahl
Journal:  PLoS One       Date:  2021-03-31       Impact factor: 3.240

5.  Trends of Healthcare-associated Infections in a Tuinisian University Hospital and Impact of COVID-19 Pandemic.

Authors:  Hela Ghali; Asma Ben Cheikh; Sana Bhiri; Selwa Khefacha; Houyem Said Latiri; Mohamed Ben Rejeb
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 1.730

6.  Healthcare-associated infections in adult intensive care unit patients: Changes in epidemiology, diagnosis, prevention and contributions of new technologies.

Authors:  Stijn Blot; Etienne Ruppé; Stephan Harbarth; Karim Asehnoune; Garyphalia Poulakou; Charles-Edouard Luyt; Jordi Rello; Michael Klompas; Pieter Depuydt; Christian Eckmann; Ignacio Martin-Loeches; Pedro Povoa; Lila Bouadma; Jean-Francois Timsit; Jean-Ralph Zahar
Journal:  Intensive Crit Care Nurs       Date:  2022-03-03       Impact factor: 4.235

7.  Healthcare-Associated Adverse Events in Alternate Level of Care Patients Awaiting Long-Term Care in Hospital.

Authors:  Guillaume J Lim Fat; Aquila Gopaul; A Demetri Pananos; Mary-Margaret Taabazuing
Journal:  Geriatrics (Basel)       Date:  2022-08-08

8.  Healthcare-associated pneumonia in acute care hospitals in European Union/European Economic Area countries: an analysis of data from a point prevalence survey, 2011 to 2012.

Authors:  Jan Walter; Sebastian Haller; Chantal Quinten; Tommi Kärki; Benedikt Zacher; Tim Eckmanns; Muna Abu Sin; Diamantis Plachouras; Pete Kinross; Carl Suetens
Journal:  Euro Surveill       Date:  2018-08

9.  Viable bacterial communities on hospital window components in patient rooms.

Authors:  Patrick F Horve; Leslie G Dietz; Suzanne L Ishaq; Jeff Kline; Mark Fretz; Kevin G Van Den Wymelenberg
Journal:  PeerJ       Date:  2020-07-27       Impact factor: 2.984

10.  Venous Thromboembolism Prophylaxis: Need for Continuous Assessment Due to Changes in Risk During the Same Hospitalization.

Authors:  Rahul Chaudhary; Robert Kirchoff; Thomas Kingsley; James S Newman; Damon E Houghton; Robert D McBane
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2020-03-18
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.