Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This study will evaluate the safety and efficacy of an experimental antibiotic, solithromycin, in the treatment of adult patients with community-acquired pneumonia.
Community-acquired bacterial pneumonia (CABP) is an acute infection of the pulmonary parenchyma with symptoms such as fever or hypothermia, chills, rigors, chest pain, and/or dyspnea. The widespread emergence of antibiotic resistant pathogens, including the macrolide-resistant Streptococcus pneumoniae, has resulted in a need for new and effective antibiotics that have activity against CABP pathogens. Solithromycin is a fourth generation macrolide antibiotic with excellent activity against resistant S. pneumoniae and other key typical and atypical bacterial respiratory pathogens. A completed Phase 2 study showed comparable efficacy to levofloxacin in adults with CABP.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Moxifloxacin | Active Comparator | Intravenous with the potential step-down to oral moxifloxacin |
|
| Solithromycin | Experimental | Intravenous with potential step-down to oral solithromycin |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Solithromycin | Drug |
|
| |
| Moxifloxacin |
| Measure | Description | Time Frame |
|---|---|---|
| Early clinical response rate in the Intent to Treat (ITT) population. | To determine noninferiority (NI) in early clinical response rate, in at least 2 of the following 4 cardinal symptoms: cough, shortness of breath, chest pain, and sputum production | 72 [±12] hours after the first dose of study drug |
| Measure | Description | Time Frame |
|---|---|---|
| Early clinical response rate in the microITT population | To determine NI in early clinical response rate of intravenous to oral solithromycin compared to intravenous to oral moxifloxacin in the mITT population | 72 [±12] hours after the first dose of study drug |
| Clinical success rates in the ITT and Clinically Evaluable (CE) populations |
Not provided
Inclusion Criteria:
Male and female patients ≥ 18 years of age
An acute onset of at least 3 of the following signs and symptoms (new or worsening):
At least 1 of the following:
PORT Risk Class II, III, or IV
Presence of lobar, multilobar, or patchy parenchymal infiltrate(s) consistent with acute bacterial pneumonia on a pulmonary imaging study
Not received any systemic antibiotics during the prior 7 days
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Brian D Jamieson, MD | Melinta Therapeutics, Inc. | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mobile | Alabama | 36607 | United States | |||
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27448679 | Derived | File TM Jr, Rewerska B, Vucinic-Mihailovic V, Gonong JRV, Das AF, Keedy K, Taylor D, Sheets A, Fernandes P, Oldach D, Jamieson BD. SOLITAIRE-IV: A Randomized, Double-Blind, Multicenter Study Comparing the Efficacy and Safety of Intravenous-to-Oral Solithromycin to Intravenous-to-Oral Moxifloxacin for Treatment of Community-Acquired Bacterial Pneumonia. Clin Infect Dis. 2016 Oct 15;63(8):1007-1016. doi: 10.1093/cid/ciw490. Epub 2016 Jul 22. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Drug |
|
|
To determine the overall clinical success rates of intravenous to oral solithromycin compared to moxifloxacin |
| 5 to 10 days after the last dose of study drug |
| Mobile |
| Alabama |
| 36609 |
| United States |
| Little Rock | Arkansas | 72205 | United States |
| Chino | California | 91710 | United States |
| Glendale | California | 91206 | United States |
| Laguna Hills | California | 92653 | United States |
| Los Angeles | California | 90015 | United States |
| Pasadena | California | 91105 | United States |
| Sacramento | California | 95817 | United States |
| Sylmar | California | 91342 | United States |
| Torrance | California | 90502 | United States |
| Newark | Delaware | 19713 | United States |
| Bay Pines | Florida | 33744 | United States |
| DeLand | Florida | 32720 | United States |
| Doral | Florida | 33166 | United States |
| Kissimmee | Florida | 34741 | United States |
| Miami | Florida | 33144 | United States |
| Miami | Florida | 33156 | United States |
| West Palm Beach | Florida | 33401 | United States |
| Augusta | Georgia | 30912 | United States |
| Blue Ridge | Georgia | 30513 | United States |
| Decatur | Georgia | 30033 | United States |
| Chicago | Illinois | 60611 | United States |
| Springfield | Illinois | 62702 | United States |
| Council Bluffs | Iowa | 51503 | United States |
| Hazard | Kentucky | 41701 | United States |
| Louisville | Kentucky | 40202 | United States |
| Louisville | Kentucky | 40206 | United States |
| Owensboro | Kentucky | 42303 | United States |
| Lafayette | Louisiana | 70503 | United States |
| Shreveport | Louisiana | 71103 | United States |
| Detroit | Michigan | 48202 | United States |
| Farmington Hills | Michigan | 48334 | United States |
| Royal Oak | Michigan | 48073 | United States |
| Duluth | Minnesota | 55805 | United States |
| St Louis | Missouri | 63110 | United States |
| Butte | Montana | 59701 | United States |
| Newark | New Jersey | 07102 | United States |
| Somers Point | New Jersey | 08244 | United States |
| Buffalo | New York | 14215 | United States |
| Jamaica | New York | 11418 | United States |
| Johnson City | New York | 13790 | United States |
| New York | New York | 10003 | United States |
| Winston-Salem | North Carolina | 27103 | United States |
| Akron | Ohio | 44304 | United States |
| Cincinnati | Ohio | 45267 | United States |
| Cleveland | Ohio | 44106 | United States |
| Columbus | Ohio | 43210 | United States |
| Dayton | Ohio | 45402 | United States |
| Lima | Ohio | 45801 | United States |
| Bethleham | Pennsylvania | 18015 | United States |
| Philadelphia | Pennsylvania | 19141 | United States |
| Wyomissing | Pennsylvania | 19610 | United States |
| Rapid City | South Dakota | 57702 | United States |
| Nashville | Tennessee | 37232 | United States |
| Houston | Texas | 77011 | United States |
| Houston | Texas | 77024 | United States |
| Houston | Texas | 77030 | United States |
| Houston | Texas | 77093 | United States |
| Splendora | Texas | 77372 | United States |
| Charlottesville | Virginia | 22905-2877 | United States |
| Spokane | Washington | 99202 | United States |
| Caba | Buenos Aires | C1093AAS | Argentina |
| Florencia Varela | Buenos Aires | B1887FWB | Argentina |
| La Plata | Buenos Aires | 1900 | Argentina |
| La Plata | Buenos Aires | B1900AVG | Argentina |
| Loma Hermosa | Buenos Aires | B1657BHD | Argentina |
| Mar del Plata | Buenos Aires | B7600GNY | Argentina |
| San Juan Bautista | Buenos Aires | 1888 | Argentina |
| Vicente López | Buenos Aires | B1602DOH | Argentina |
| Córdoba | Córdoba Province | X5000JRD | Argentina |
| Salta | Salta Province | 4400 | Argentina |
| Rosario | Santa Fe Province | S2000CVB | Argentina |
| San Miguel de Tucumán | Tucumán Province | T4000IFL | Argentina |
| Kozloduy | 3320 | Bulgaria |
| Montana | 3400 | Bulgaria |
| Pernik | 2300 | Bulgaria |
| Rousse | 7002 | Bulgaria |
| Samokov | 2000 | Bulgaria |
| Sofia | 1431 | Bulgaria |
| Sofia | 1606 | Bulgaria |
| Vidin | 3700 | Bulgaria |
| Vratsa | 3000 | Bulgaria |
| Edmonton | Alberta | T6G2B7 | Canada |
| Surrey | British Columbia | V3V 1Z2 | Canada |
| Vancouver | British Columbia | V6Z 1Y6 | Canada |
| Winnipeg | Manitoba | R3E0J9 | Canada |
| Chicoutimi | Quebec | G7H5H6 | Canada |
| Greenfield Park | Quebec | J4V2H1 | Canada |
| Montreal | Quebec | H2W 1T8 | Canada |
| Sherbrooke | Quebec | JIH-5N4 | Canada |
| Talca | Maule Region | 3465584 | Chile |
| Providencia | RM | 7500710 | Chile |
| Viña del Mar | Valparaiso | 2540364 | Chile |
| Temuco | 4800997 | Chile |
| Medellín | Antioquia | Colombia |
| Cali | Valle del Cauca Department | Colombia |
| Batumi | 6004 | Georgia |
| Rustavi | 3700 | Georgia |
| Tbilisi | 0101 | Georgia |
| Tbilisi | 0112 | Georgia |
| Tbilisi | 0144 | Georgia |
| Tbilisi | 0159 | Georgia |
| Tbilisi | 0160 | Georgia |
| Tbilisi | 0186 | Georgia |
| Bochum | 44789 | Germany |
| Bonn | 53105 | Germany |
| Dresden | 01307 | Germany |
| Greifswald | 17475 | Germany |
| Hanover | 30625 | Germany |
| Lübeck | 23538 | Germany |
| Rostock | 18055 | Germany |
| Guatemala City | Departamento de Guatemala | 01010 | Guatemala |
| Guatemala City | Departamento de Guatemala | 01016 | Guatemala |
| Guatemala City | 01010 | Guatemala |
| Budapest | H-1097 | Hungary |
| Budapest | H-1121 | Hungary |
| Budapest | H-1125 | Hungary |
| Budapest | H-1145 | Hungary |
| Budapest | H-115 | Hungary |
| Debrecen | H-1051 | Hungary |
| Győr | H-9024 | Hungary |
| Kaposvár | H-7400 | Hungary |
| Nagykanizsa | H-8800 | Hungary |
| Nyíregyháza | H-4412 | Hungary |
| Pécs | H-7623 | Hungary |
| Székesfehérvár | H-8000 | Hungary |
| Törökbálint | H-2045 | Hungary |
| Balvi | LV-4501 | Latvia |
| Daugavpils | LV-5417 | Latvia |
| Liepāja | LV-3414 | Latvia |
| Valmiera | LV-4201 | Latvia |
| Alor Star | Kedah | 05460 | Malaysia |
| Kota Bharu | Kelantan | 15586 | Malaysia |
| Cheras | Kuala Lumpur | 56000 | Malaysia |
| Jalan Pahang | Kuala Lumpur | 50586 | Malaysia |
| Malacca | Melaka | 75400 | Malaysia |
| George Town | Pulau Pinang | 10400 | Malaysia |
| George Town | Pulau Pinang | 10990 | Malaysia |
| Miri | Sarawak | 98000 | Malaysia |
| Ampang | Selangor | 68000 | Malaysia |
| Batu Caves | Selangor | 68100 | Malaysia |
| Sungai Buloh | Selangor | 47000 | Malaysia |
| Maastricht | Limburg | 6229 HX | Netherlands |
| Breda | North Brabant | 4818 CK | Netherlands |
| Utrecht | Utrecht | 3584 CX | Netherlands |
| Ica | Ica | Peru |
| Miraflores | Lima 18 | Lima 18 | Peru |
| Cercado | Lima 1 | Lima 1 | Peru |
| San Juán de Miraflores | Lima 29 | Lima 29 | Peru |
| San Martín de Porres | Lima 31 | Lima 31 | Peru |
| San Miguel | Lima 32 | Lima 32 | Peru |
| Santiago de Surco | Lima 33 | Lima 33 | Peru |
| San Borja | Lima 41 | Lima 41 | Peru |
| Jesus Maria | Lima11 | Lima11 | Peru |
| Lima Cercado | Lima1 | Lima1 | Peru |
| Cercado | Lima | Lima01 | Peru |
| Iquitos | Loreto | Peru |
| Bellavista | Provincia Constitucional del Callao | Callao | Peru |
| Lipa City | Batangas | 4217 | Philippines |
| EDSA Caloocan City | National Capital Region | 1400 | Philippines |
| Cebu City | 6000 | Philippines |
| Iloilo City | 5000 | Philippines |
| Quezon City | 1100 | Philippines |
| Quezon City | 1109 | Philippines |
| Chrzanów | 32-500 | Poland |
| Krakow | 31-011 | Poland |
| Krakow | 31-209 | Poland |
| Lodz | 90-153 | Poland |
| Poznan | 60-569 | Poland |
| Warsaw | 01-138 | Poland |
| Warsaw | 02-507 | Poland |
| Wroclaw | 21-162 | Poland |
| Marghita | Bihor County | 415300 | Romania |
| Bucharest | Bucharest | 011461 | Romania |
| Cluj-Napoca | Cluj | 400371 | Romania |
| Constanța | Constanța County | 900002 | Romania |
| Craiova | Dolj | 200515 | Romania |
| Bragadiru | Judet Ilfov | 769764 | Romania |
| Suceava | Judetual Suceava | 720284 | Romania |
| Ploieşti | Prahova | 10097 | Romania |
| Bucharest | Sector 1 | 010824 | Romania |
| Bucharest | Sector 2 | 021105 | Romania |
| Bucharest | Sector 2 | 021661 | Romania |
| Bucharest | Sector 3 | 030303 | Romania |
| Bucharest | Sector 5 | 050159 | Romania |
| Suceava | Suceava | 720284 | Romania |
| Timișoara | Timiș County | 300310 | Romania |
| Barnaul | 656045 | Russia |
| Chelyabinsk | 454021 | Russia |
| Moscow | 119991 | Russia |
| Moscow | 123182 | Russia |
| Moscow | 127206 | Russia |
| Novosibirsk | 195271 | Russia |
| Penza | 440067 | Russia |
| Saint Petersburg | 194354 | Russia |
| Saint Petersburg | 195030 | Russia |
| Saint Petersburg | 195271 | Russia |
| Saint Petersburg | 198205 | Russia |
| Smolensk | 214019 | Russia |
| Tomsk | 634063 | Russia |
| Belgrade | 11000 | Serbia |
| Belgrade | 11080 | Serbia |
| Kamenitz | 21204 | Serbia |
| Kragujevac | 34000 | Serbia |
| Niš | 18000 | Serbia |
| Kosice-Saca | Slovakia | 04015 | Slovakia |
| Lučenec | Slovakia | 98401 | Slovakia |
| Trebišov | 07501 | Slovakia |
| Golnik | 4204 | Slovenia |
| Ljubljana | 1000 | Slovenia |
| Topolšica | 3326 | Slovenia |
| Benoni | Gauteng | 1501 | South Africa |
| Johannesburg | Gauteng | 2113 | South Africa |
| Krugersdorp | Gauteng | 1739 | South Africa |
| Newcastle | KwaZulu-Natal | 2940 | South Africa |
| Thabazimbi | Limpopo | 0380 | South Africa |
| Middleburg | Mpumalanga | 1055 | South Africa |
| Observatory | Western Cape | 7925 | South Africa |
| Anyang-si | Gyenggi-do | 431-796 | South Korea |
| Seoul | Gyenggi | 135-710 | South Korea |
| Seoul | Gyenggi | 138-736 | South Korea |
| Seoul | Gyenggi | 156-707 | South Korea |
| Seoul | Gyenggi | 158-710 | South Korea |
| Ansan-si | Gyeonggi-do | 425-707 | South Korea |
| Goyang-si | Gyeonggi-do | 410-719 | South Korea |
| Goyang-si | Gyeonggi-do | 411-706 | South Korea |
| Seoul | Gyeonggi-do | 136-705 | South Korea |
| Seoul | Gyeonggi-do | 143-729 | South Korea |
| Seoul | Gyeonggi-do | 150-950 | South Korea |
| Jeonju | Jeollabuk-do | 561-712 | South Korea |
| Badalona | Barcelona | 08916 | Spain |
| Barcelona | Barcelona | 08003 | Spain |
| Barcelona | Barcelona | 08035 | Spain |
| Barcelona | Barcelona | 08036 | Spain |
| Mataró | Barcelona | 08304 | Spain |
| Granada | Granada | 18014 | Spain |
| Madrid | Madrid | 28040 | Spain |
| Torrejón de Ardoz | Madrid | 28850 | Spain |
| Alicante | 03010 | Spain |
| Barcelona | 08221 | Spain |
| Madrid | 28046 | Spain |
| Taichung | R.o. C. | 40447 | Taiwan |
| Taichung | R.o. C. | 407 | Taiwan |
| Taipei | R.o. C. | 116 | Taiwan |
| Changhua Country | 500 | Taiwan |
| Hualien City | 970 | Taiwan |
| Kaohsiung City | 807 | Taiwan |
| Kaohsiung City | 82445 | Taiwan |
| Kaohsiung City | 83301 | Taiwan |
| New Taipei City | 220 | Taiwan |
| Taichung | 402 | Taiwan |
| Taichung | 40705 | Taiwan |
| Tainan | 704 | Taiwan |
| Tainan | 710 | Taiwan |
| Taipei | 100 | Taiwan |
| Taipei | 11217 | Taiwan |
| Taipei | 114 | Taiwan |
| Chernivtsi | 58000 | Ukraine |
| Ivano Frakivsk | 76018 | Ukraine |
| Kharkiv | 61103 | Ukraine |
| Kharkiv | 61106 | Ukraine |
| Kharkiv | 61124 | Ukraine |
| Kherson | 73000 | Ukraine |
| Kiev | 01133 | Ukraine |
| Kremenchuk | 39617 | Ukraine |
| Sumy | 40022 | Ukraine |
| Vinnytsia | 21029 | Ukraine |
| Zaporizhzhia | 69035 | Ukraine |
| Zaporizhzhia | 69065 | Ukraine |
| ID | Term |
|---|---|
| D011014 | Pneumonia |
| ID | Term |
|---|---|
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| C547755 | solithromycin |
| D000077266 | Moxifloxacin |
| ID | Term |
|---|---|
| D024841 | Fluoroquinolones |
| D042462 | 4-Quinolones |
| D015363 | Quinolones |
| D011804 | Quinolines |
| D006574 | Heterocyclic Compounds, 2-Ring |
| D000072471 | Heterocyclic Compounds, Fused-Ring |
| D006571 | Heterocyclic Compounds |
Not provided
Not provided