Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting
Abstract
:1. Introduction
2. Results
2.1. Demographics and Clinical Characteristics
2.2. Focus of Infection
2.3. Appropriateness
2.4. Mortality
3. Discussion
Limitations
4. Materials and Methods
4.1. Study Setting and Population
Study Population
4.2. Program Design and Implementation
- ➢
- For invasive infections due to multidrug-resistant organisms (MDROs), polymyxin B or colistin should be used in combination with an additional agent.
- ➢
- Patients requiring IV polymyxin therapy for suspected or documented MDR HAP (Hospital-acquired pneumonia) or VAP (Ventilator-associated pneumonia) should receive adjunctive polymyxin aerosol therapy.
- ➢
- Inclusion of the directive in a color-coded antibiotic prescription sheet demanding loading dose administration of colistin and polymyxin.
- ➢
- Empowerment of nurses in stewardship practices. Nurses alert physicians to initiate loading doses for reserved antibiotics like polymyxins, which require a loading dose (LD) to ensure that appropriate loading doses are prescribed.
- ➢
- Follow the Institutional Guidelines for Dosing of Polymyxins (Table S1).
- ➢
- Initiate a first maintenance dose for colistin 12 h after the loading dose, based on the TDM study on Colistin.
- ➢
- Daily dose amendments for creatinine clearance and RRT (Table S1).
4.3. Data Collection
4.4. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Amrita Institute of Medical Sciences and Research Centre (an ISO 9001/14001/18001/NABH/NABL/NAAC certified hospital) ANTIBIOTIC STEWARDSHIP COMMITTEE | |||||||
Data Collection Form | |||||||
1. Name of the patient | |||||||
2. MRD No: | |||||||
3. Date of Admission | 4. Date of Review | ||||||
5. Age in years | 6. Sex: Male/Female | ||||||
7. Location | |||||||
8. Admitting Doctor | |||||||
9. Admission Diagnosis | |||||||
10. Suspected focus of infection | |||||||
(a) Pneumonia | |||||||
(b) UTI | |||||||
(c) CNS | |||||||
(d) Skin and Soft Tissue | |||||||
(e) Abdominal | |||||||
(f) Bacteremia | |||||||
(g) Catheter/Lines/Stents | |||||||
(h) Other: | |||||||
11. Cultures | |||||||
(A) Culture sent- Yes/No | |||||||
(B) Date and time of culture sent: | |||||||
(C) Sample sent for culture | |||||||
a. Blood | |||||||
b. Urine | |||||||
c. Stool | |||||||
d. Sputum | |||||||
e. Mini Bal | |||||||
f. CSF | |||||||
g. Ascitic fluid | |||||||
h. Pleural fluid | |||||||
i. Tissue | |||||||
j. Pus | |||||||
(D) Provisional report of culture—after 48 h of sending (To include culture and sensitivity report if available) | |||||||
12. S. Creatinine (mg/dL) | |||||||
13. Antibiotics used | |||||||
Antibiotic | Dose | Route | Frequency | Date of initiation | Loading dose | Infusion | |
14. Clinical Signs correlating with Antibiotic initiation (prior 48 h) | |||||||
Temp (°F)- | |||||||
BP (mmHg)- | |||||||
RR (per minute)- | |||||||
O2 saturation (%)- | |||||||
WBC (K/uL)- | |||||||
CRP (mg/L)- | |||||||
Procalcitonin (ng/mL)- | |||||||
Lactate (mmol/L)- | |||||||
At 48 h | |||||||
Antibiotics changed | |||||||
References
- Prestinaci, F.; Pezzotti, P.; Pantosti, A. Antimicrobial resistance: A global multifaceted phenomenon. Pathog. Glob. Health 2015, 109, 309–318. [Google Scholar] [CrossRef] [Green Version]
- Goff, D.A.; Kaye, K.S. Minocycline: An Old Drug for a New Bug: Multidrug-Resistant Acinetobacter baumannii. Clin. Infect. Dis. 2014, 59 (Suppl. 6), S365–S366. [Google Scholar] [CrossRef] [Green Version]
- Kakkar, M.; Walia, K.; Vong, S.; Chatterjee, P.; Sharma, A. Antibiotic resistance and its containment in India. BMJ 2017, 358, j2687. [Google Scholar] [CrossRef]
- Nagvekar, V.; Sawant, S.; Amey, S. Prevalence of multidrug-resistant Gram-negative bacteria cases at admission in a multispeciality hospital. J. Glob. Antimicrob. Resist. 2020, 22, 457–461. [Google Scholar] [CrossRef]
- Aslam, A.; Gajdács, M.; Zin, C.S.; Ab Rahman, N.S.; Ahmed, S.I.; Zafar, M.Z.; Jamshed, S. Evidence of the Practice of Self-Medication with Antibiotics among the Lay Public in Low- and Middle-Income Countries: A Scoping Review. Antibiotics 2020, 9, 597. [Google Scholar] [CrossRef]
- Van Duin, D.; Paterson, D.L. Multidrug-Resistant Bacteria in the Community. Infect. Dis. Clin. N. Am. 2016, 30, 377–390. [Google Scholar] [CrossRef] [Green Version]
- Garg, S.K.; Singh, O.; Juneja, D.; Tyagi, N.; Khurana, A.S.; Qamra, A.; Motlekar, S.; Barkate, H. Resurgence of Polymyxin B for MDR/XDR Gram-Negative Infections: An Overview of Current Evidence. Crit. Care Res. Pract. 2017, 2017, 3635609. [Google Scholar] [CrossRef] [Green Version]
- Budd, E.; Cramp, E.; Sharland, M.; Hand, K.; Howard, P.; Wilson, P.; Wilcox, M.; Muller-Pebody, B.; Hopkins, S. Adaptation of the WHO Essential Medicines List for national antibiotic stewardship policy in England: Being AWaRe. J. Antimicrob. Chemother. 2019, 74, 3384–3389. [Google Scholar] [CrossRef] [Green Version]
- Kadri, S.S.; Adjemian, J.; Lai, Y.L.; Spaulding, A.B.; Ricotta, E.; Prevots, D.R.; Palmore, T.N.; Rhee, C.; Klompas, M.; Dekker, J.P.; et al. National Institutes of Health Antimicrobial Resistance Outcomes Research Initiative (NIH–ARORI). Difficult-to-Treat Resistance in Gram-negative Bacteremia at 173 US Hospitals: Retrospective Cohort Analysis of Prevalence, Predictors, and Outcome of Resistance to All First-line Agents. Clin. Infect. Dis. 2018, 67, 1803–1814. [Google Scholar] [CrossRef] [Green Version]
- Antibiotic Resistance: ICMR Advises Hospitals to Avoid Three Antibiotics. Med. Dialogues 2017. Available online: https://medicaldialogues.in/antibiotic-resistance-icmr-advises-south-indian-hospitals-to-avoid-three-antibiotics (accessed on 21 December 2020).
- Walia, K.; Ohri, V.; Madhumathi, J.; Ramasubramanian, V. Policy document on antimicrobial stewardship practices in India. Indian J. Med. Res. 2019, 149, 180–184. [Google Scholar] [CrossRef]
- Walia, K.; Madhumathi, J.; Veeraraghavan, B.; Chakrabarti, A.; Kapil, A.; Ray, P.; Singh, H.; Sistla, S.; Ohri, V. Establishing Antimicrobial Resistance Surveillance & Research Network in India: Journey so far. Indian J. Med. Res. 2019, 149, 164–179. [Google Scholar] [CrossRef] [PubMed]
- Tsuji, B.T.; Pogue, J.M.; Zavascki, A.P.; Paul, M.; Daikos, G.L.; Forrest, A.; Giacobbe, D.R.; Viscoli, C.; Giamarellou, H.; Karaiskos, I.; et al. International Consensus Guidelines for the Optimal Use of the Polymyxins: Endorsed by the American College of Clinical Pharmacy (ACCP), European Society of Clinical Microbiology and Infectious Diseases (ESCMID), Infectious Diseases Society of America (IDSA), International Society for Anti-infective Pharmacology (ISAP), Society of Critical Care Medicine (SCCM), and Society of Infectious Diseases Pharmacists (SIDP). Pharmacother. J. Hum. Pharmacol. Drug Ther. 2019, 39, 10–39. [Google Scholar] [CrossRef]
- Ismail, B.; Shafei, M.N.; Harun, A.; Ali, S.; Omar, M.; Deris, Z.Z. Predictors of polymyxin B treatment failure in Gram-negative healthcare-associated infections among critically ill patients. J. Microbiol. Immunol. Infect. 2018, 51, 763–769. [Google Scholar] [CrossRef] [PubMed]
- Laxminarayan, R.; Matsoso, P.; Pant, S.; Brower, C.; Røttingen, J.-A.; Klugman, K.; Davies, S. Access to effective antimicrobials: A worldwide challenge. Lancet 2016, 387, 168–175. [Google Scholar] [CrossRef]
- Dixit, A.; Kumar, N.; Kumar, S.; Trigun, V. Antimicrobial Resistance: Progress in the Decade since Emergence of New Delhi Metallo-β-Lactamase in India. Indian J. Community Med. 2019, 44, 4–8. [Google Scholar] [CrossRef] [PubMed]
- Ranjalkar, J.; Chandy, S.J. India’s National Action Plan for antimicrobial resistance–An overview of the context, status, and way ahead. J. Fam. Med. Prim. Care 2019, 8, 1828–1834. [Google Scholar] [CrossRef] [PubMed]
- Singh, S.; Menon, V.P.; Mohamed, Z.U.; Kumar, V.A.; Nampoothiri, V.; Sudhir, S.; Moni, M.; Dipu, T.S.; Dutt, A.; Edathadathil, F.; et al. Implementation and Impact of an Antimicrobial Stewardship Program at a Tertiary Care Center in South India. Open Forum Infect. Dis. 2019, 6, ofy290. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Van Boeckel, T.P.; Gandra, S.; Ashok, A.; Caudron, Q.; Grenfell, B.T.; A Levin, S.; Laxminarayan, R. Global antibiotic consumption 2000 to 2010: An analysis of national pharmaceutical sales data. Lancet Infect. Dis. 2014, 14, 742–750. [Google Scholar] [CrossRef]
- Laxminarayan, R.; Chaudhury, R.R. Antibiotic Resistance in India: Drivers and Opportunities for Action. PLoS Med. 2016, 13, e1001974. [Google Scholar] [CrossRef] [Green Version]
- Erika, M.C.; D’Agata, E.M.; Tran, D.; Bautista, J.; Shemin, D.; Grima, D. Clinical and Economic Benefits of Antimicrobial Stewardship Programs in Hemodialysis Facilities. A Decision Analytic Model. CJASN 2018, 13, 1389–1397. [Google Scholar] [CrossRef] [Green Version]
- Singh, S.; Charani, E.; Devi, S.; Sharma, A.; Edathadathil, F.; Kumar, A.; Warrier, A.; Shareek, P.S.; Jaykrishnan, A.V.; Ellangovan, K. A road-map for addressing antimicrobial resistance in low- and middle-income countries: Lessons learnt from the public private participation and co-designed antimicrobial stewardship programme in the State of Kerala, India. Antimicrob. Resist. Infect. Control. 2021, in press. [Google Scholar] [CrossRef]
- Charani, E.; Castro-Sanchez, E.; Sevdalis, N.; Kyratsis, Y.; Drumright, L.; Shah, N.; Holmes, A. Understanding the Determinants of Antimicrobial Prescribing Within Hospitals: The Role of “Prescribing Etiquette”. Clin. Infect. Dis. 2013, 57, 188–196. [Google Scholar] [CrossRef]
- Avedissian, S.N.; Liu, J.; Rhodes, N.J.; Lee, A.; Pais, G.M.; Hauser, A.R.; Scheetz, M.H. A Review of the Clinical Pharmacokinetics of Polymyxin B. Antibiotics 2019, 8, 31. [Google Scholar] [CrossRef] [Green Version]
- Moni, M.; Sudhir, A.S.; Dipu, T.S.; Mohamed, Z.; Prabhu, B.P.; Edathadathil, F.; Balachandran, S.; Singh, S.K.; Prasanna, P.; Menon, V.P.; et al. Clinical efficacy and pharmacokinetics of colistimethate sodium and colistin in critically ill patients in an Indian hospital with high endemic rates of multidrug-resistant Gram-negative bacterial infections: A prospective observational study. Int. J. Infect. Dis. 2020, 100, 497–506. [Google Scholar] [CrossRef]
- Behzadi, P.; Baráth, Z.; Gajdács, M. It’s Not Easy Being Green: A Narrative Review on the Microbiology, Virulence and Therapeutic Prospects of Multidrug-Resistant Pseudomonas aeruginosa. Antibiotics 2021, 10, 42. [Google Scholar] [CrossRef]
- CDC. Patient Safety Component Protocol. The National Healthcare Safety Network (NHSN) Manual. Available online: https://www.dhcs.ca.gov/provgovpart/initiatives/nqi/Documents/NHSNManPSPCurr.pdf (accessed on 10 February 2017).
Variables | Pre-ASP Implementation (n) | 2016–2017 (n) | 2017–2018 (n) | 2018–2019 (n) | 2019–2020 (n) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C | PB | Total | C | PB | Total | C | PB | Total | C | PB | Total | C | PB | Total | |
738 | 34 | 772 | 315 | 95 | 410 | 358 | 128 | 486 | 314 | 62 | 376 | 370 | 28 | 398 | |
Age | |||||||||||||||
Median (IQR) | 55 (30) | 50.50 (39) | 54 (32) | 55 (32) | 55 (24) | 55 (30) | 54 (27) | 51.50 (22) | 53 (26) | 56 (35) | 54 (18) | 56 (30) | 48 (59) | 61 (7) | 50 (58) |
Above 80 years, n (%) | 18 | 0 | 18 (2%) | 9 | 1 | 10 (2%) | 2 | 0 | 2 (0.4%) | 10 | 1 | 11 (3%) | 10 | 1 | 11 (3%) |
Sex | |||||||||||||||
Male | 491 | 21 | 512 (67%) | 230 | 65 | 295 (72%) | 227 | 81 | 308 (63%) | 214 | 39 | 253 (67%) | 246 | 21 | 267 (67%) |
Focus of Infection | |||||||||||||||
Pneumonia | 289 | 17 | 306 (40%) | 87 | 31 | 118 (29%) | 105 | 41 | 146 (30%) | 137 | 29 | 166 (44%) | 272 | 35 | 307 (77%) |
UTI | 186 | 7 | 193 (25%) | 88 | 11 | 99 (24%) | 103 | 15 | 118 (24%) | 83 | 10 | 93 (25%) | 97 | 3 | 100 (25%) |
Bacteremia | 182 | 8 | 190 (25%) | 92 | 46 | 138 (34%) | 146 | 63 | 209 (43%) | 92 | 20 | 112 (30%) | 127 | 4 | 131 (33%) |
Skin and soft tissue infection | 75 | 5 | 80 (10%) | 36 | 3 | 39 (10%) | 34 | 10 | 44 (9%) | 39 | 7 | 46 (12%) | 49 | 2 | 51 (13%) |
Abdominal | 7 | 0 | 7 (1%) | 8 | 3 | 11 (3%) | 16 | 7 | 23 (5%) | 16 | 8 | 24 (6%) | 35 | 4 | 39 (10%) |
CNS | 4 | 4 | 8 (1%) | 2 | 1 | 3 (1%) | 12 | 4 | 16 (3%) | 5 | 2 | 7 (2%) | 39 | 0 | 39 (10%) |
Others* | 17 | 0 | 17 (2%) | 0 | 0 | 0 | 52 | 15 | 67 (14%) | 54 | 26 | 80 (21%) | 140 | 19 | 159 (40%) |
Culture Sent | |||||||||||||||
Culture sent prior to antibiotics | 649 | 31 | 680 (88%) | 307 | 89 | 396 (96%) | 246 | 90 | 336 (69%) | 292 | 57 | 349 (93%) | 344 | 26 | 370 (93%) |
Culture sent after antibiotics | 86 | 2 | 88 (11%) | 8 | 6 | 14 (3%) | 145 | 56 | 201 (41%) | 17 | 4 | 21 (5%) | 27 | 5 | 32 (8%) |
Culture not sent | 3 | 1 | 4 (0.5%) | 1 | 0 | 1 (0.24%) | 3 | 1 | 4 (1%) | 2 | 1 | 3 (0.7%) | 7 | 0 | 7 (2%) |
Appropriateness | 29 | 0 | 29 (4%) | 73 | 30 | 103 (25%) | 241 | 91 | 332 (68%) | 253 | 48 | 301 (79%) | 325 | 22 | 347 (83%) |
Outcome | |||||||||||||||
Mortality | 201 | 10 | 211 (27%) | 91 | 20 | 111 (27%) | 80 | 43 | 123 (25%) | 52 | 14 | 66 (17%) | 69 | 12 | 81 (20%) |
Organism | 2016–2017 | 2017–2018 | 2018–2019 | 2019–2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Number of Isolates Treated with Colistin (%) | Number of Isolates Treated with Polymyxin B (%) | Total (336) | Number of Isolates Treated with Colistin (%) | Number of Isolates Treated with Polymyxin B (%) | Total (290) | Number of Isolates Treated with Colistin (%) | Number of Isolates Treated with Polymyxin B (%) | Total (358) | Number of Isolates Treated with Colistin (%) | Number of Isolates Treated with Polymyxin B (%) | Total (455) | |
Acinetobacter baumanii | 49 (14%) | 13 (4%) | 62 (18%) | 47 (16%) | 7 (2%) | 54 (19%) | 43 (12%) | 8 (2%) | 51 (14%) | 84 (18%) | 8 (2%) | 92 (20%) |
E. coli | 23 (7%) | 5 (1%) | 28 (8%) | 30 (10%) | 8 (3%) | 38 (13%) | 27 (7%) | 2 (0.5%) | 29 (7.5%) | 37 (8%) | 4 (1%) | 41 (9%) |
Enterobacter cloacae | 9 (3%) | 2 (0.5%) | 11 (3.5%) | 5 (2%) | 0 | 5 (2%) | 5 (1%) | 1 (0.2%) | 6 (1.2%) | 8 (2%) | 1 (0.2%) | 9 (2%) |
Klebsiella pneumoniae | 112 (33%) | 45 (13%) | 157 (46%) | 129 (44%) | 40 (14%) | 169 (58%) | 173 (48%) | 39 (11%) | 212 (59%) | 210 (46%) | 30 (6%) | 240 (53%) |
Pseudomonas aeruginosa | 61 (18%) | 17 (5%) | 78 (23%) | 20 (7%) | 4 (1%) | 24 (8%) | 46 (13%) | 14 (4%) | 60 (17%) | 67 (15%) | 6 (1%) | 73 (16%) |
Variables | Pre-ASP Implementation (n) | 2016–2017 (n) | 2017–2018 (n) | 2018–2019 (n) | 2019–2020 (n) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C | PB | Total | C | PB | Total | C | PB | Total | C | PB | Total | C | PB | Total | |
738 | 34 | 772 | 315 | 95 | 410 | 358 | 128 | 486 | 317 | 63 | 380 | 389 | 28 | 417 | |
Right indication | 613 | 30 | 643 (83%) | 225 | 57 | 282 (69%) | 349 | 122 | 471 (97%) | 313 | 61 | 374 (98%) | 377 | 28 | 405 (97%) |
Right drug | 488 | 21 | 509 (66%) | 215 | 55 | 270 (66%) | 334 | 117 | 451 (93%) | 308 | 59 | 367 (96%) | 375 | 27 | 402 (96%) |
Loading dose required | 642 | 34 | 676 (87%) | 292 | 95 | 387 (94%) | 329 | 121 | 450 (92%) | 291 | 60 | 351 (92%) | 299 | 28 | 327 (78%) |
Right loading dose given | 46 | 0 | 46 (6%) | 135 | 72 | 207 (53%) | 245 | 103 | 348 (77%) | 262 | 51 | 313 (89%) | 282 | 17 | 299 (91%) |
Right maintenance dose given | 164 | 27 | 191 (25%) | 212 | 84 | 296 (72%) | 307 | 120 | 427 (88%) | 287 | 58 | 345 (91%) | 360 | 27 | 387 (93%) |
Right frequency | 174 | 29 | 203 (26%) | 256 | 90 | 346 (84%) | 341 | 125 | 466 (96%) | 311 | 63 | 374 (98%) | 382 | 28 | 410 (98%) |
Right duration | 247 | 14 | 261 (34%) | 242 | 72 | 314 (77%) | 325 | 114 | 439 (90%) | 305 | 59 | 364 (96%) | 378 | 28 | 406 (97%) |
Parameter | Definition | Example |
---|---|---|
Right indication | When the prescribed polymyxin B is the most appropriate selection in terms of site of infection and pathogen |
|
Right drug | When colistin or polymyxin B is the narrowest and most effective antibiotic |
|
Right dose | When the loading dose and maintenance dose of the prescribed antimicrobial are appropriate and accurate for the patient’s diagnosis as per standard recommendations |
|
Right frequency | When the frequency of the prescribed antimicrobial dose is appropriate for the patient’s diagnosis as per standard recommendations |
|
Right duration | When the prescribed antimicrobial has been administered for the correct duration based on the patient’s diagnosis as per standard recommendations |
|
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Sathyapalan, D.T.; James, J.; Sudhir, S.; Nampoothiri, V.; Bhaskaran, P.N.; Shashindran, N.; Thomas, J.; Prasanna, P.; Mohamed, Z.U.; Edathadathil, F.; et al. Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting. Antibiotics 2021, 10, 470. https://doi.org/10.3390/antibiotics10050470
Sathyapalan DT, James J, Sudhir S, Nampoothiri V, Bhaskaran PN, Shashindran N, Thomas J, Prasanna P, Mohamed ZU, Edathadathil F, et al. Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting. Antibiotics. 2021; 10(5):470. https://doi.org/10.3390/antibiotics10050470
Chicago/Turabian StyleSathyapalan, Dipu T., Jini James, Sangita Sudhir, Vrinda Nampoothiri, Praveena N. Bhaskaran, Nandita Shashindran, Jisha Thomas, Preetha Prasanna, Zubair Umer Mohamed, Fabia Edathadathil, and et al. 2021. "Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting" Antibiotics 10, no. 5: 470. https://doi.org/10.3390/antibiotics10050470
APA StyleSathyapalan, D. T., James, J., Sudhir, S., Nampoothiri, V., Bhaskaran, P. N., Shashindran, N., Thomas, J., Prasanna, P., Mohamed, Z. U., Edathadathil, F., Singh, S., & Moni, M. (2021). Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting. Antibiotics, 10(5), 470. https://doi.org/10.3390/antibiotics10050470