| Literature DB >> 35572979 |
Tauqeer Hussain Mallhi1, Abdullah Salah Alanazi1,2, Yusra Habib Khan1, Nasser Hadal Alotaibi1, Muhammad Salman3, Abdulaziz Ibrahim Alzarea1, Salah-Ud-Din Khan4, Nabil K Alruwaili5, Alaa Salah Alenazi6, Ahmed D Alatawi1, Zafar Iqbal7, Muhammad Hammad Butt8, Muhammad Shahid Iqbal9.
Abstract
Background: Despite a series of "boxed warnings" (BWs) issued by the US Food and Drug Administration (FDA), fluoroquinolones (FQs) are among the most prescribed antibiotics across the world. Moreover, few studies demonstrated that BW of FQs had less or no impact on prescribing patterns among healthcare professionals (HCPs), which might be attributed to the lack of knowledge toward such warnings. Since FQs contribute to a major proportion of antimicrobial prescriptions in the Kingdom of Saudi Arabia (KSA), this study aimed to ascertain the extent of knowledge toward safety profile, use, and BW of FQs among HCPs working in the KSA.Entities:
Keywords: United States Food and Drug Administration (FDA); adverse effects; anti-infective agents; antibiotic stewardship; antibiotics; boxed warnings; fluoroquinolones; safety
Year: 2022 PMID: 35572979 PMCID: PMC9099140 DOI: 10.3389/fmed.2022.816320
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Study flow diagram.
Demographics of study participants (n = 573).
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| 36.1 ± 10.6 (34, IQR: 45–28) | |
| 20–40 years | 389 | 67.9 |
| >40 years | 184 | 32.1 |
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| Male | 342 | 59.7 |
| Female | 231 | 40.3 |
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| Saudis | 372 | 64.9 |
| Egyptians | 99 | 17.3 |
| Sudanese | 25 | 4.4 |
| Pakistanis | 27 | 4.7 |
| Indians | 39 | 6.8 |
| Syrians | 11 | 1.9 |
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| Saudis | 372 | 64.9 |
| Non-Saudis (Expatriates) | 201 | 35.1 |
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| Al-Jouf region | 280 | 48.9 |
| Riyadh region | 107 | 18.7 |
| Eastern region | 112 | 19.5 |
| Northern Border region | 74 | 12.9 |
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| Medicine (MBBS/MD) | 230 | 40.1 |
| Pharmacy | 219 | 38.2 |
| Dentistry | 32 | 5.6 |
| Nursing | 92 | 16.1 |
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| Graduation | 348 | 60.7 |
| Master | 121 | 21.1 |
| Doctorate | 104 | 18.2 |
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| Saudi Arabia | 337 | 58.8 |
| Egypt | 97 | 16.9 |
| India | 39 | 6.8 |
| Pakistan | 25 | 4.4 |
| Sudan | 23 | 4.0 |
| Syria | 11 | 1.9 |
| UK | 18 | 3.1 |
| USA | 23 | 4.0 |
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| Government sector | 459 | 80.1 |
| Private sector | 114 | 19.9 |
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| Tertiary care hospital | 209 | 36.5 |
| Secondary hospital care | 141 | 24.6 |
| Primary care hospital | 109 | 19.0 |
| Community pharmacy | 45 | 7.9 |
| Hospital pharmacy | 35 | 6.1 |
| Private hospital | 34 | 5.9 |
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| 10.6 ± 9.3 (Median 7, IQR: 18–2) | |
| <5 years | 198 | 34.6 |
| 5–10 years | 140 | 24.4 |
| >10 years | 235 | 41.0 |
The data are presented as frequency with proportion. The continuous data are showed with mean ± standard deviation along with median (interquartile range).
Prescribing pattern of fluoroquinolones among prescribers (physicians and dentists), N = 262.
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| Ciprofloxacin | 25 | 9.5 | 169 | 64.5 | 68 | 26.0 | 0 | 0.0 |
| Levofloxacin | 52 | 19.8 | 103 | 39.3 | 107 | 40.8 | 0 | 0.0 |
| Ofloxacin | 76 | 29.0 | 72 | 27.5 | 114 | 43.5 | 0 | 0.0 |
| Moxifloxacin | 96 | 36.6 | 65 | 24.8 | 85 | 32.4 | 16 | 6.1 |
| Gemifloxacin | 163 | 62.2 | 2 | 0.8 | 58 | 22.1 | 39 | 14.9 |
| Delafloxacin | 138 | 52.7 | 7 | 2.7 | 55 | 21.0 | 62 | 23.7 |
| Norfloxacin | 146 | 55.7 | 15 | 5.7 | 62 | 23.7 | 39 | 14.9 |
| Gatifloxacin | 139 | 53.1 | 9 | 3.4 | 46 | 17.6 | 68 | 26.0 |
| Lomefloxacin | 127 | 48.5 | 11 | 4.2 | 44 | 16.8 | 80 | 30.5 |
| Nalidixic.acid | 147 | 56.1 | 5 | 1.9 | 43 | 16.4 | 67 | 25.6 |
| Cinoxacin | 134 | 51.1 | 4 | 1.5 | 36 | 13.7 | 88 | 33.6 |
| Travofloxacin | 114 | 43.5 | 2 | 0.8 | 34 | 13.0 | 112 | 42.7 |
| Sparfloxacin | 120 | 45.8 | 10 | 3.8 | 35 | 13.4 | 97 | 37.0 |
Participants' knowledge toward indications and adverse effects of fluoroquinolones.
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| Bacterial eye infection | 363 | 63.4 | 54 | 9.4 | 156 | 27.2 | 0.63 ± 0.48 |
| Corneal ulcer | 180 | 31.4 | 127 | 22.2 | 266 | 46.4 | 0.31 ± 0.46 |
| Otitis externa | 254 | 44.3 | 102 | 17.8 | 217 | 37.9 | 0.44 ± 0.50 |
| Respiratory tract infections (RTIs) | 288 | 50.3 | 44 | 7.7 | 241 | 42.1 | 0.50 ± 0.50 |
| Urinary tract infections | 441 | 77.0 | 53 | 9.2 | 79 | 13.8 | 0.77 ± 0.42 |
| Skin & soft tissue infections | 242 | 42.2 | 144 | 25.1 | 187 | 32.6 | 0.42 ± 0.49 |
| Gonorrhea | 281 | 49.0 | 92 | 16.1 | 200 | 34.9 | 0.49 ± 0.50 |
| Surgical prophylaxis | 171 | 29.8 | 156 | 27.2 | 246 | 42.9 | 0.30 ± 0.46 |
| Anthrax | 179 | 31.2 | 88 | 15.4 | 306 | 53.4 | 0.31 ± 0.46 |
| Meningococcal meningitis | 174 | 30.4 | 149 | 26.0 | 250 | 43.6 | 0.30 ± 0.46 |
| Fistulating Crohn‘s Disease | 157 | 27.4 | 111 | 19.4 | 305 | 53.2 | 0.27 ± 0.45 |
| Typhoid fever | 310 | 54.1 | 71 | 12.4 | 192 | 33.5 | 0.54 ± 0.50 |
| Average knowledge score for indications domain (out of 12) | |||||||
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| Nauseas or vomiting | 460 | 80.3 | 19 | 3.3 | 94 | 16.4 | 0.80 ± 0.40 |
| Diarrhea | 412 | 71.9 | 43 | 7.5 | 118 | 20.6 | 0.72 ± 0.45 |
| Arthropathy | 214 | 37.3 | 91 | 15.9 | 268 | 46.8 | 0.37 ± 0.48 |
| Loss of appetite | 113 | 19.7 | 122 | 21.3 | 338 | 59.0 | 0.20 ± 0.40 |
| Musculoskeletal pain | 250 | 43.6 | 61 | 10.6 | 262 | 45.7 | 0.44 ± 0.50 |
| Renal impairment | 213 | 37.2 | 105 | 18.3 | 255 | 44.5 | 0.37 ± 0.48 |
| Hepatic impairment | 116 | 20.2 | 72 | 12.6 | 385 | 67.2 | 0.20 ± 0.40 |
| Headache | 267 | 46.6 | 94 | 16.4 | 212 | 37.0 | 0.47 ± 0.50 |
| Dizziness | 254 | 44.3 | 98 | 17.1 | 221 | 38.6 | 0.44 ± 0.50 |
| Seizures | 122 | 21.3 | 125 | 21.8 | 326 | 56.9 | 0.21 ± 0.41 |
| Dyspnea | 127 | 22.2 | 126 | 22.0 | 320 | 55.8 | 0.22 ± 0.42 |
| Trouble sleeping | 99 | 17.3 | 122 | 21.3 | 352 | 61.4 | 0.17 ± 0.38 |
| Altered smell sensation | 109 | 19.0 | 132 | 23.0 | 332 | 57.9 | 0.19 ± 0.39 |
| Asthenia | 53 | 9.2 | 146 | 25.5 | 374 | 65.3 | 0.09 ± 0.29 |
| Sensation abnormalities (peripheral neuropathy) | 119 | 20.8 | 120 | 20.9 | 334 | 58.3 | 0.21 ± 0.41 |
| Clostridium difficile infections | 156 | 27.2 | 114 | 19.9 | 303 | 52.9 | 0.27 ± 0.45 |
| Cardiovascular problems | 177 | 30.9 | 109 | 19.0 | 287 | 50.1 | 0.31 ± 0.46 |
| Photosensitivity or skin reactions | 274 | 47.8 | 75 | 13.1 | 224 | 39.1 | 0.48 ± 0.50 |
| Average knowledge score for adverse effects domain (out of 18). | 6.17 ± 4.05 | ||||||
Comparison of knowledge score toward indications and adverse effects across different specialties of healthcare professionals.
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| Physicians | 5.70 ± 2.77 | – | 0.759 | 0.208 |
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| Pharmacists | 5.42 ± 2.71 | – | – | 0.465 |
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| Dentists | 4.59 ± 3.24 | – | – | – | 0.918 |
| Nurses | 4.20 ± 4.01 | – | – | – | – |
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| Physicians | 6.38 ± 3.85 | – | 0.940 | 0.064 | 0.090 |
| Pharmacists | 6.59 ± 3.33 | – | – |
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| Dentists | 4.50 ± 4.32 | – | – | – | 0.820 |
| Nurses | 5.22 ± 5.54 | – | – | – | – |
The bold values indicate significant results and their values is less than 0.05.
Participant's knowledge toward boxed warnings on fluoroquinolones.
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| Worsening of pre-existing myasthenia gravis | 111 | 19.4 | 272 | 47.5 | 190 | 33.2 |
| Disabling side effects of the tendons, muscles, nerves and joints | 167 | 29.1 | 238 | 41.5 | 168 | 29.3 |
| Hypoglycemia | 209 | 36.5 | 215 | 37.5 | 149 | 26.0 |
| Tendinitis or tendon rupturing | 222 | 38.7 | 144 | 25.1 | 207 | 36.1 |
| Restricted use of fluoroquinolones for certain uncomplicated infections | 92 | 16.1 | 275 | 48.0 | 206 | 36.0 |
| Aortic aneurysm/raptures or tears in aorta | 263 | 45.9 | 205 | 35.8 | 105 | 18.3 |
| Mental health side effects | 171 | 29.8 | 213 | 37.2 | 189 | 33.0 |
| Peripheral neuropathy | 106 | 18.5 | 230 | 40.1 | 237 | 41.4 |
| Average knowledge score for BW domain (out of 8) | 2.3 ± 1.5 | |||||
Figure 2The frequency distribution on the selection of boxed warnings (BWs) against FQs among study participants.
Predictors of achieving ≥50% knowledge score.
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| 20–40 years | 1.00 (Reference) | |||
| >40 years | 0.803 (0.518–1.245) | 0.328 | ||
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| Male | 1.00 (Reference) | |||
| Female | 1.490 (0.997–2.226) | 0.052 | ||
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| Saudis | 1.00 (Reference) | |||
| Non-Saudis (expatriates) | 1.356 (0.900–2.043) | 0.145 | ||
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| Al-Jouf region | 1.00 (Reference) | |||
| Riyadh region | 6.603 (3.502–10.497) |
| 7.717 (4.388–13.575) | |
| Eastern region | 7.623 (4.398–13.214) |
| 5.786 (3.309–10.116) |
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| Northern Border region | 0.535 (0.181–1.581) |
| 0.536 (0.180–1.595) |
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| Medicine (MBBS/MD) | 1.00 (Reference) | |||
| Pharmacy | 1.181 (0.757–1.842) | 0.465 | ||
| Dentistry | 0.392 (0.115–1.343) | 0.136 | ||
| Nursing | 1.053 (0.585–1.898) | 0.863 | ||
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| Graduate | 1.00 (Reference) | |||
| Postgraduate | 0.659 (0.431–1.007) | 0.054 | ||
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| Saudi Arabia | 1.00 (Reference) | |||
| Other countries | 1.105 (0.738–1.654) | 0.629 | ||
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| Government sector | 1.00 (Reference) | |||
| Private sector | 0.408 (0.221–0.756) |
| 0.599 (0.297–1.208) | 0.152 |
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| <5 years | 1.00 (Reference) | 1.00 (Reference) | ||
| 5–10 years | 2.980 (1.670–5.318) |
| 2.701 (1.426–5.117) |
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| >10 years | 2.930 (1.727–4.973) |
| 2.430 (1.324–4.4.460) |
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The bold values indicate significant results and their values is less than 0.05.
Association of participant's demographics with knowledge score.
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| 0.039 | |
| 20 – 40 Years | 14.4 ± 6.7 | |
| >40 Years | 15.6 ± 5.9 | |
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| 0.523 | |
| Male | 14.7 ± 6.1 | |
| Female | 15.0 ± 6.9 | |
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| 0.001 | |
| Saudis | 14.1 ± 6.8 | |
| Egyptians | 15.6 ± 5.2 | |
| Sudanese | 14.9 ± 3.5 | |
| Pakistanis | 15.0 ± 5.3 | |
| Indians | 18.5 ± 7.1 | |
| Syrians | 17.1 ± 3.4 | |
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| <0.001 | |
| Saudis | 14.1 ± 6.8 | |
| Non-Saudis (expatriates) | 16.1 ± 5.5 | |
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| <0.001 | |
| Al-Jouf region | 13.8 ± 5.6 | |
| Riyadh region | 17.9 ± 7.4 | |
| Eastern region | 17.5 ± 5.2 | |
| Northern Border region | 10.2 ± 5.8 | |
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| <0.001 | |
| Medicine (MBBS/MD) | 15.7 ± 5.6 | |
| Pharmacy | 15.4 ± 5.5 | |
| Dentistry | 12.6 ± 6.5 | |
| Nursing | 12.0 ± 9.0 | |
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| 0.781 | |
| Graduation | 14.7 ± 7.1 | |
| Master | 15.1 ± 5.1 | |
| Doctorate | 14.9 ± 5.4 | |
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| 0.001 | |
| Saudi Arabia | 14.1 ± 7.0 | |
| Egypt | 15.8 ± 5.1 | |
| India | 18.5 ± 7.1 | |
| Pakistan | 15.4 ± 5.4 | |
| Sudan | 15.2 ± 3.5 | |
| Syria | 17.1 ± 3.4 | |
| UK | 12.3 ± 2.6 | |
| USA | 14.2 ± 6.1 | |
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| 0.003 | |
| Government sector | 15.2 ± 6.5 | |
| Private sector | 13.2 ± 6.1 | |
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| <0.001 | |
| Tertiary care hospital | 17.0 ± 6.8 | |
| Secondary hospital care | 13.4 ± 5.1 | |
| Primary care hospital | 14.1 ± 6.5 | |
| Community pharmacy | 14.9 ± 4.7 | |
| Hospital pharmacy | 11.9 ± 6.4 | |
| Private hospital | 12.4 ± 7.0 | |
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| <0.001 | |
| <5 years | 12.9 ± 6.4 | |
| 5–10 years | 15.8 ± 5.4 | |
| >10 years | 15.9 ± 6.7 |
The data are presented as frequency with proportion. The continuous data are shown with mean ± standard deviation along with median (interquartile range).
Post-hoc analysis (Tukey's HSD): Nationality, Saudis vs. Indians (p = 0.001); Provinces, Al-Jouf regions vs. Riyadh region (p < 0.001); Al-Jouf regions vs. Eastern region (p < 0.001), Al-Jouf regions vs. northern border region (p < 0.001), Field of education, MBBS/MD vs. nursing (p < 0.001); MBBS/MD vs. dentistry (p = 0.045), pharmacy vs. nursing (p < 0.001), Country of Graduation, India vs. KSA (0.001), India vs. UK (0.016); Working Organization, Tertiary care hospital vs. Secondary care hospital (p < 0.001), Tertiary care hospital vs. Primary care hospital (p = 0.001), Tertiary care hospital vs. Hospital pharmacy (p < 0.001), Tertiary care hospital vs. Private hospital (p = 0.001); Working experience, <5 years vs. 5–10 years (p < 0.001), <5 years vs. >10 years (p < 0.001).