Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Design
2.2. Data Sources and Outcomes
2.3. Statistical Analysis
2.4. Ethics Statement
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018 | 2019 | 2020 | 2021 | 2018 | 2019 | 2020 | 2021 | 2018 | 2019 | 2020 | 2021 | 2018 | 2019 | 2020 | 2021 | p * | |
Defined daily doses per 1000 inhabitants per day (DID) | |||||||||||||||||
J01A—Tetracyclines | 1.04 | 1.15 | 1.24 | 1.60 | 0.96 | 1.02 | 0.93 | 1.22 | 0.66 | 0.77 | 0.79 | 0.83 | 0.99 | 1.17 | 1.25 | 1.24 | 0.796 |
J01C—Betalactams. Penicillins | 11.00 | 10.52 | 10.04 | 4.97 | 8.85 | 9.16 | 4.86 | 5.26 | 7.55 | 7.52 | 5.06 | 5.14 | 9.50 | 9.28 | 5.09 | 7.23 | 0.010 |
J01D—Other betalactam antibacterials | 2.66 | 2.31 | 2.46 | 1.62 | 1.99 | 1.98 | 1.45 | 1.68 | 1.80 | 1.83 | 1.69 | 1.72 | 2.19 | 2.24 | 1.69 | 2.09 | 0.051 |
J01E—Sulfonamides and trimethoprim | 0.31 | 0.33 | 0.41 | 0.40 | 0.31 | 0.36 | 0.36 | 0.40 | 0.29 | 0.39 | 0.36 | 0.41 | 0.30 | 0.40 | 0.38 | 0.39 | 0.962 |
J01F—Macrolides. Lincosamides and streptogramins | 2.74 | 2.19 | 2.22 | 0.98 | 1.92 | 1.72 | 0.94 | 1.03 | 1.62 | 1.38 | 0.82 | 0.87 | 2.09 | 1.92 | 0.95 | 1.50 | 0.011 |
J01M—Quinolones | 2.99 | 2.12 | 1.66 | 0.92 | 1.95 | 1.60 | 0.89 | 0.89 | 1.78 | 1.29 | 0.92 | 0.91 | 1.79 | 1.41 | 1.00 | 1.20 | 0.011 |
J01X—Other antibacterials | 0.38 | 0.42 | 0.45 | 0.46 | 0.40 | 0.43 | 0.43 | 0.45 | 0.43 | 0.48 | 0.48 | 0.48 | 0.42 | 0.47 | 0.46 | 0.47 | 0.078 |
TOTAL | 21.13 | 19.05 | 18.48 | 10.95 | 16.37 | 16.27 | 9.85 | 10.93 | 14.13 | 13.65 | 10.11 | 10.35 | 17.29 | 16.90 | 10.83 | 14.12 | 0.007 |
Number of patients | |||||||||||||||||
J01A—Tetracyclines | 1325 | 1436 | 1550 | 1878 | 1364 | 1404 | 1277 | 1680 | 975 | 1075 | 1093 | 1151 | 1284 | 1465 | 1573 | 1516 | 0.643 |
J01C—Betalactams. Penicillins | 45,217 | 43,171 | 42,977 | 19,741 | 37,023 | 38,970 | 19,170 | 21,891 | 30,881 | 30,950 | 20,373 | 21,317 | 41,118 | 41,063 | 20,391 | 31,333 | 0.008 |
J01D—Other betalactam antibacterials | 11,008 | 9554 | 10,427 | 6839 | 8350 | 8333 | 6112 | 7185 | 7706 | 7738 | 7333 | 7395 | 9424 | 9581 | 7365 | 9025 | 0.056 |
J01E—Sulfonamides and trimethoprim | 833 | 941 | 1280 | 1167 | 932 | 1087 | 1100 | 1237 | 890 | 1234 | 1109 | 1275 | 910 | 1298 | 1166 | 1243 | 0.817 |
J01F—Macrolides. Lincosamides and streptogramins | 23,083 | 17,043 | 17,527 | 5602 | 15,184 | 13,231 | 5843 | 6430 | 13,091 | 10,107 | 5042 | 5402 | 17,593 | 15,518 | 5855 | 12,040 | 0.013 |
J01M—Quinolones | 16,949 | 11,645 | 9241 | 4707 | 11,010 | 8814 | 4737 | 4667 | 10,090 | 7155 | 4865 | 4804 | 10,289 | 7948 | 5258 | 6641 | 0.010 |
J01X—Other antibacterials | 7940 | 8773 | 9723 | 9888 | 8413 | 9206 | 9196 | 9693 | 9399 | 10,397 | 10,730 | 10,618 | 9256 | 10,298 | 10,287 | 10,131 | 0.019 |
TOTAL | 92,186 | 80,882 | 79,952 | 43,256 | 71,561 | 71,035 | 40,809 | 46,108 | 63,529 | 60,179 | 43,869 | 45,160 | 77,921 | 75,839 | 44,964 | 62,580 | 0.007 |
1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter | p * | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2019 | 2021 | Variation | 2019 | 2021 | Variation | 2019 | 2021 | Variation | 2019 | 2021 | Variation | |||
J01CA04—Amoxicillin | DID | 5.044 | 1.989 | −61% | 4.247 | 2.189 | −48% | 3.220 | 1.947 | −40% | 4.668 | 3.375 | −28% | 0.017 |
Patients | 23,571 | 8636 | −63% | 20,277 | 10,152 | −50% | 14,637 | 8889 | −39% | 22,833 | 16,544 | −28% | 0.013 | |
J01CR02—Amoxicillin + clavulanic acid | DID | 4.997 | 2.737 | −45% | 4.377 | 2.826 | −35% | 3.875 | 2.903 | −25% | 4.072 | 3.525 | −13% | 0.003 |
Patients | 17,761 | 10,264 | −42% | 15,867 | 10,851 | −32% | 14,274 | 11,205 | −22% | 15,520 | 13,678 | −12% | 0.003 | |
J01DC02—Cefuroxime | DID | 1.556 | 1.117 | −28% | 1.324 | 1.160 | −12% | 1.249 | 1.176 | −6% | 1.522 | 1.434 | −6% | 0.048 |
Patients | 6093 | 4389 | −28% | 5249 | 4604 | −12% | 4924 | 4732 | −4% | 6111 | 5871 | −4% | 0.042 | |
J01FA10—Azithromycin | DID | 1.525 | 0.513 | −66% | 1.165 | 0.533 | −54% | 0.894 | 0.474 | −47% | 1.338 | 1.054 | −21% | 0.044 |
Patients | 14,780 | 4158 | −72% | 11,336 | 4856 | −57% | 8388 | 4041 | −52% | 13,409 | 10,446 | −22% | 0.017 | |
J01MA12—Levofloxacin | DID | 1.099 | 0.384 | −65% | 0.765 | 0.371 | −52% | 0.550 | 0.367 | −33% | 0.688 | 0.587 | −15% | 0.022 |
Patients | 5787 | 1864 | −68% | 4068 | 1861 | −54% | 2799 | 1751 | −37% | 3757 | 3130 | −17% | 0.027 |
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Alzueta, N.; Echeverría, A.; García, P.; Sanz, L.; Gil-Setas, A.; Beristain, X.; Aldaz, P.; Garjón, J. Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis. Antibiotics 2023, 12, 318. https://doi.org/10.3390/antibiotics12020318
Alzueta N, Echeverría A, García P, Sanz L, Gil-Setas A, Beristain X, Aldaz P, Garjón J. Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis. Antibiotics. 2023; 12(2):318. https://doi.org/10.3390/antibiotics12020318
Chicago/Turabian StyleAlzueta, Natalia, Amaya Echeverría, Patricia García, Lorea Sanz, Alberto Gil-Setas, Xabier Beristain, Pablo Aldaz, and Javier Garjón. 2023. "Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis" Antibiotics 12, no. 2: 318. https://doi.org/10.3390/antibiotics12020318
APA StyleAlzueta, N., Echeverría, A., García, P., Sanz, L., Gil-Setas, A., Beristain, X., Aldaz, P., & Garjón, J. (2023). Impact of COVID-19 Pandemic in Antibiotic Consumption in Navarre (Spain): An Interrupted Time Series Analysis. Antibiotics, 12(2), 318. https://doi.org/10.3390/antibiotics12020318