Prescription Patterns of Antibiotics in Acute Medical Care Unit of a Tertiary Care Hospital in India

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ISSN: 2319-7706 Volume 3 Number 7 (2014) pp. 673-679 http://www.ijcmas.com Original Research Article Prescription Patterns of Antibiotics in Acute Medical Care Unit of a Tertiary Care Hospital in India Mujtaba Hussain Naqvi Syed *, Chiranjeevi Uday Kumar, and J.C.Shobha Department of Clinical Pharmacology & Therapeutics, Nizam s Institute of Medical Sciences, Punjagutta, Hyderabad, India *Corresponding author A B S T R A C T K e y w o r d s Prescription Pattern, Antibiotics, Acute Medical Care Units Patients admitted into the acute medical care units (AMC) in tertiary hospitals suffer from severe morbid illness mostly affecting multiple organs. Such group of patients are exposed to multiple antibiotics before admission that keeps them vulnerable to multidrug-resistant pathogens. This study attempts to determine the group of antibiotics that are prescribed for various illnesses, average number used and the cost of antibiotics per prescription. The prescriptions of patients admitted in acute medical care unit were explored for the primary disease and the antibiotics classes were recorded. The cost of antibiotics in prescriptions was calculated from the pharmacy bills of the patients. In our study we found a total of 177 antibiotics that were prescribed for 110 patients studied, with an average of (1.60 ± 0.77) antibiotics/prescription. The average cost of the antibiotics was INR (269.41±444.32) per prescription per patient. Cephalosporin s were the most commonly prescribed antibiotics. So we could conclude that the empirical treatment with antibiotics is common in acute care units and thus the antibiotics should be rationally prescribed to prevent emergence of resistance and to minimize the cost burden on the patient. Introduction Patients admitted into the intensive care units (ICUs) are often prescribed multiple broad spectrum antibiotics at admission. These prescriptions are often empiric and based on physician comfort and prior experience, that lead to overuse or misuse of antibiotics. This not only increases the burden of antibiotic resistance but also exposes patients to unnecessary side effects of these drugs besides increasing treatment costs (Gagneja etal.,2011). Empirical antibiotic therapy is based on therapeutic guidelines and variations exist to reflect local clinical practice. Limiting the duration of antibiotic therapy when clinically appropriate to minimise is important to prevent the emergence or selection of multi-drug resistant organisms (MDRO's) and Clostridium difficile infection. Initially for empirical therapy broad spectrum antimicrobials are used that provide coverage against Streptococcus 673

pneumoniae, Legionella species and aerobic Gram negatives, which later could be changed depending on response and sensitivity report. The knowledge of likely prevalent strains along with their antimicrobial resistance pattern will help in selection of a particular antimicrobial agent and framing the antibiotic policy for the hospital. Prompt, appropriate, targeted antimicrobial therapy is life-saving. Patients in ICU often receive antimicrobial therapy that is poorly chosen or is given for too many days. Prescribed treatment is often empirical and early decisions to shift to directed therapy or cessation of therapy can reduce antibiotic exposure significantly. Reduction in antimicrobial exposure leads to reductions in resistance and less cost. Controlling resistance selection within the ICU has potential spill-over effects for the general hospital, Antibiotic Expert Group (Therapeutic Guidelines Limited; 2010). There is a dramatic increase in the prevalence of superbugs, and there is an equal drop in the number of new antibiotics available. Although the antibiotic potential of herbal plants is widely explored (S. Susmitha etal.,2013; S. Yogita etal.,2013; Ghiasuddin etal.,2012), the pipeline of antibiotic research and development is nearly dry, especially when it comes to antibiotics active against Gram-negative bacteria. Indian hospitals have reported very high Gram-negative resistance rates, with very high prevalence of ESBL (Extended Spectrum Beta Lactamases) producers and also high carbapenem resistance rates. Increasing carbapenem resistance will invariably result in increased usage of colistin, currently the last line of defence, with a potential for colistin-resistant and Pan Drug Resistant bacterial infections. The treatment of common diseases like diarrhoea is also becoming difficult as the majority of antibiotics used to treat diarrhoea have developed resistance. The use of antibiotics can be avoided when the diarrhoea can be treated by oral rehydration therapy and with the use of probiotics as antibacterial agents is well documented (G.C. Agu etal.,2013). There is currently no functioning national antibiotic policy or a national policy to contain antimicrobial resistance in India (Ghafur A etal.,2012). The data on antibiotic prescription in tertiary care hospitals particularly in southern India is lacking, thus we propose to study the prescribing pattern of antibiotics in our hospital through average number of antibiotics per prescription with the cost of antibiotics per prescription and the prescription of antibiotics for the diseases affecting various systems. Materials and Methods This was a prospective, observational study of antibiotic prescribing patterns at admission in an open, mixed medical surgical, adult, ICU in a tertiary care hospital in southern India. This study was conducted between August and November 2013. The prescription data on 110 consecutive patients at admission into the ICU was audited. All antibiotic prescriptions, with the class of antibiotic and the suspected primary disease location on the first admission day were noted. There was no infectious diseases specialist or antibiotic prescription policy in place at our hospital during the study period. Baseline demographic variables on all patients, such as name, age, gender, hospital number, clinical diagnosis were recorded. Other variables, such as the total number of antibiotics prescribed and their dose and route of administration were also noted. The daily antibiotic cost per patient was 674

calculated by the multiplication of the cost per unit and the number of doses that were used in each patient. The unit price of each antibiotic used was obtained from the hospital pharmacy. The data were analyzed using graphpad prism software (Version 6.0). Results and Discussion The prescriptions of 110 consecutive patients admitted into the ICU were analyzed. This included 70 male and 40 female patients. The average age of the patients was 44 years (± 18.2). Most of our patients were admitted to the ICU from the medical specialty (77.2%) and the demographic data and patient characteristics studied are as given in Table 1. A total of 177 antibiotics were prescribed for the 110 patients, that is an average of 1.60 (±0.77) antibiotics / prescription. Antibiotics were prescribed to 107 patients (97.27%) at admission. The average number of antibiotics prescribed are shown in Figure 1. As shown in Figure 2, the average cost of antibiotics for each patient suffering from dysfunction involving various organ systems are noted and the median cost of antibiotics for the group are calculated. The cost of antibiotics for treatment of MODS with sepsis was highest among others as shown in Table 2. Cephalosporin s were the more commonly prescribed antibiotics in patients and had lowest cost per prescription in patients, although amoxicillin cost was still lower among penicillin group of antibiotics with median price of INR 110, carbapenems were the most expensive drug prescribed among our patients. Oral antibiotics were prescribed in only 10 patients and the median cost was INR 54. As shown in Figure3 and Table 3. On univariate analysis, we found that the average cost of the total drugs prescribed and antibiotics prescribed were significantly lower in younger patients (<45 years). Although the total cost of antibiotics and drugs was higher in surgical and trauma patients, this was not a statistically significant compared to medical treatment. Prescriptions of 110 consecutive ICU admissions were audited over a 4-month period to study drug utilization patterns in the ICU. The average age of patients was 44 years and most of the patients were in age group of 30-60 years which is also observed in a study conducted in northern India by (Williams, etal 2011). In a study on drug use patterns from an ICU in Iran, the average age of patients studied was 50.3 ±20.4 years (Tavallaee M etal., 2010), which is comparable to present study, but the mean and range of age of patients in ICU in a study conducted in Netherland was 61 (16 93) years and the difference could be explained by the different socio economic conditions and a longer life expectancy in such a country (Bergmans D.C.J.J etal., 1997). The average number of antibiotics per prescription in present study was 1.60 (± SD 0.77) which is lower than northern India where an average of 2.09 (±SD 1.27) antibiotics/prescription has been reported. Antibiotics were prescribed on 107 patients (97.27%) at admission, which is again similar 95% reported from a north Indian study, reflecting similar prescription pattern in the country (Williams.A. et al., 2011).There is other variable reports of percentage of patients receiving antibiotics at admission in ICU from country ranging from 60% to 80%. The medical cases dominated ICU with 77% admissions compared to surgical and trauma cases, which is not too high compared to around 70% reported from north India. 675

Table.1 Demographic data of patients Variable Number (n=110) Percentage % Gender Male 70 63.63 Females 40 36.36 Age distribution (years) 15-30 35 31.81 31-45 24 21.81 46-60 28 25.45 61-75 19 17.27 >76 4 3.63 Department of origin Medical 85 77.27 Surgical and trauma 15 13.63 Antibiotics prescribed 0 3 2.72 1 52 47.27 2 42 38.18 3 10 9 4 3 2.72 Table.2 Average number of antibiotics prescribed and the median cost of antibiotics prescribed to treat various disorders and diseases affecting major organs of the body System Average number of antibiotics Median cost of antibiotics in INR MODS/sepsis 1.85 2313.25 CNS 1.4 190.8 Fever 1.47 152.65 GIT 1.82 271.04 Blood 1.37 1496.12 Lungs 1.61 429.95 Kidneys 1.44 158.75 Trauma and surgical 1.66 153.46 Others 1.77 524.44 Table.3 Comparison of antibiotic cost with respect to age and diagnosis Medical 179.89±135.61 P>0.05 Variable Surgical Cost 290.52±480.80 of antibiotics Total 269.41±444.32 (Median cost of INR 125) Age <45 years (n=51) 171.47±167.40 P<0.01 >45 years (n=59) 384.98±613.83 Diagnosis 676

Figure.1 Distribution of patients according to the number of antibiotics prescribed Figure.2 Comparison of median cost of antibiotics in treatment of disorders affecting various systems Figure.3 The distribution (A) and median cost (B) of various groups of antibiotics Fig 3A 677

Figure 3B In the present study most of the patients were managed with 1-2 antibiotics (85%) and only 13% received 3-4 antibiotics in ICU, whereas in the northern counter part of the country 70% patients received 2 or less antibiotics, whereas western countries report still lower antibiotic prescription(meyer E. etal.,2003). In our ICU, the most frequently prescribed antibiotics were 3 rd generation cephalosporin s which is also reported by other studies (Williams.A., et al.,2011) followed by penicillins. Metronidazole, cephalosporins and penicillins are most commonly prescribed antibiotics reported by several studies conducted in ICUs of tertiary care hospitals of our country. When we compared the cost of various antibiotics cephalosporins and penicillins had lowest cost per prescription, which is the one of the reasons for wide prescription of these drugs in developing country like India(Shankar P.R etal.,2005; Biswal S etal.,2006; Shrikala B etal.,2010). Antibiotic monotherapy is sufficient for most infections. Antibiotics may be combined to prevent the emergence of resistant bacteria at the infection site by rapidly reducing the bacterial inoculums, but this may increase selective pressure on the commensal flora. The prescription of combinations, except in the case of mycobacterial infections,must be strictly limited to the following well defined situations. The higher rates of prescribing antibiotics in our institute could be because it is tertiary hospitals with most of the critical patients referred from other centres. The severity of disease and age are the most important factors contributing to antibiotic prescription at admission in the ICU, with the average number and cost of antibiotics/prescription greater for MODS/Sepsis and for patients aged more than 45 years. The empirical therapy is continued in most cases and the need for changing prescribed antibiotics was less common in our hospital. In conclusion, our study reveals that antibiotics continue to be widely prescribed in the ICU. The elderly patients with severe diseases with multiorgan involvement are prescribed more antibiotics, resulting in more cost per prescription. The prescription pattern was similar to that reported from other parts of country. There is a strong need for guidelines and protocol for treatment at all levels of health care especially with respect to antibiotics along with regional 678

and institutional policies to cater to local needs and availability. References Antibiotic Expert Group, Therapeutic guidelines: antibiotic, Version 14, Melbourne: Therapeutic Guidelines Limited; 2010. Bergmans D.C.J.J., M.J.M. Bonten, C.A. Gaillard, F.H. van Tiel, S. van der Geesta, P.W. de Leeuw, and E.E. Stobberingh, 1997. Indications for antibiotic use in ICU patients: A oneyear prospective surveillance. J. Antimicrob. Chemother., 39:527 535. Biswal S., P. Mishra, S. Malhotra, G.D. Puri and P. Pandhi, 2006. Drug utilization pattern in the intensive care unit of a tertiary care hospital. J. Clin. Pharmacol., 46(8):945 951. G.C. Agu, M.O. Efuntoye, B.T. Thomas and A.A. Adegbulu. Lactic Acid Bacteria and Antibiotics: A Comparative Study of Their Antibacterial Activities. International Journal of Microbiological Research 4 (3): 234-240, 2013 Gagneja, D., N. Goel, R. Aggarwal and U. Chaudhary, 2011. Changing trend of antimicrobial resistance among gramnegative bacilli isolated from lower respiratory tract of ICU patients: A 5- year study. Indian J. Crit. Care Med., 15(3):164-167. Ghafur A., D. Mathai, A. Muruganathan, J.A. Jayalal, R. Kant, D. Chaudhary, K Prabhash, O.C. Abraham, R. Gopalarkrishnan, V. Ramasubramanian, S.N. Shah, R. Pardeshi, A. Huilgol, A. Kapil, J.P.S. Gill, S. Singh, H.S. Rissam, S.Todi, B.M. Hegde and P. Parikh, 2012. The Chennai Declaration Recommendations of A roadmap- to tackle the challenge of antimicrobial resistance - A joint meeting of medical societies of India. Indian J Cancer, 49(4):84-94. Ghias Uddin, Abdur Rauf, Naveed Muhammad, Shabana, Nadia Malik and Mohsina. Phytochemical and Pharmacological Studies of the Whole Plant of Calotropis procera. Middle- East Journal of Medicinal Plants Research 1(4): 71-74, 2012 Meyer E., D. Jonas, F. Schwab, H. Rueden, P. Gastmeier and F.D. Daschner, 2003. Design of a surveillance system of antibiotic use and bacterial resistance in German intensive care units (SARI) Infection, 31(4):208 215. S. Susmitha, K.K. Vidyamol, P. Ranganayaki and R. Vijayaragavan. Phytochemical Extraction and Antimicrobial Properties of Azadirachta indica (Neem). Global Journal of Pharmacology 7 (3): 316-320, 2013 S. Yogita, 1 2A. Prachi, 2J. Arun and 2B. Maya. Antibacterial and Antifungal Activity of Roots of Wattakaka volubilis. Global Journal of Pharmacology 7 (3): 283-287, 2013 Shankar P.R., P. Partha, A.K. Dubey, P. Mishra and V.Y. Deshpande, 2005. Intensive care unit drug utilization in a teaching hospital in Nepal. Kathmandu Univ. Med. J., 3(2):130 137. Shrikala B., K. Kranthi and A. Nafisa, 2010. A prospective study on evaluation of antibiotic prescription practices in an intensive care unit of a tertiary care hospital. J. Clin. Diag. Res., 4:3387 3391. Tavallaee M., F. Fahimi and S. Kiani., 2010. Drug-use patterns in an intensive care unit of a hospital in Iran: an observational prospective study. Int. J. Pharm. Pract., 18(6):370-376. Williams, A., A.S. Mathai and A.S. Phillips, 2011. Antibiotic prescription patterns at admission into a tertiary level intensive care unit in Northern India. J. Pharm. Bioallied Sci., 3(4): 531 536. 679